[{"ddc":["570"],"article_type":"original","OA_type":"gold","OA_place":"publisher","doi":"10.1093/braincomms/fcag041","month":"03","title":"Exercise enhances hippocampal-cortical ripple interactions in the human brain","_id":"21473","PlanS_conform":"1","citation":{"ista":"Cardenas AR, Ramirez Villegas JF, Kovach CK, Gander PE, Cole RC, Grossbach AJ, Kawasaki H, Greenlee JDW, Howard MA, Nourski KV, Banks MI, Voss MW. 2026. Exercise enhances hippocampal-cortical ripple interactions in the human brain. Brain Communications. 8(2), fcag041.","chicago":"Cardenas, Araceli R., Juan F Ramirez Villegas, Christopher K. Kovach, Phillip E. Gander, Rachel C. Cole, Andrew J. Grossbach, Hiroto Kawasaki, et al. “Exercise Enhances Hippocampal-Cortical Ripple Interactions in the Human Brain.” <i>Brain Communications</i>. Oxford University Press, 2026. <a href=\"https://doi.org/10.1093/braincomms/fcag041\">https://doi.org/10.1093/braincomms/fcag041</a>.","apa":"Cardenas, A. R., Ramirez Villegas, J. F., Kovach, C. K., Gander, P. E., Cole, R. C., Grossbach, A. J., … Voss, M. W. (2026). Exercise enhances hippocampal-cortical ripple interactions in the human brain. <i>Brain Communications</i>. Oxford University Press. <a href=\"https://doi.org/10.1093/braincomms/fcag041\">https://doi.org/10.1093/braincomms/fcag041</a>","ama":"Cardenas AR, Ramirez Villegas JF, Kovach CK, et al. Exercise enhances hippocampal-cortical ripple interactions in the human brain. <i>Brain Communications</i>. 2026;8(2). doi:<a href=\"https://doi.org/10.1093/braincomms/fcag041\">10.1093/braincomms/fcag041</a>","ieee":"A. R. Cardenas <i>et al.</i>, “Exercise enhances hippocampal-cortical ripple interactions in the human brain,” <i>Brain Communications</i>, vol. 8, no. 2. Oxford University Press, 2026.","mla":"Cardenas, Araceli R., et al. “Exercise Enhances Hippocampal-Cortical Ripple Interactions in the Human Brain.” <i>Brain Communications</i>, vol. 8, no. 2, fcag041, Oxford University Press, 2026, doi:<a href=\"https://doi.org/10.1093/braincomms/fcag041\">10.1093/braincomms/fcag041</a>.","short":"A.R. Cardenas, J.F. Ramirez Villegas, C.K. Kovach, P.E. Gander, R.C. Cole, A.J. Grossbach, H. Kawasaki, J.D.W. Greenlee, M.A. Howard, K.V. Nourski, M.I. Banks, M.W. Voss, Brain Communications 8 (2026)."},"article_processing_charge":"Yes","date_updated":"2026-03-23T14:30:47Z","year":"2026","oa_version":"Published Version","has_accepted_license":"1","date_published":"2026-03-09T00:00:00Z","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","tmp":{"short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"status":"public","issue":"2","type":"journal_article","publisher":"Oxford University Press","day":"09","publication_status":"published","language":[{"iso":"eng"}],"corr_author":"1","date_created":"2026-03-22T23:04:34Z","department":[{"_id":"JoCs"}],"quality_controlled":"1","volume":8,"article_number":"fcag041","abstract":[{"text":"Physical exercise acutely improves hippocampus-dependent memory. Whereas animal studies have offered cellular- and synaptic-level accounts of these effects, human neuroimaging studies show that exercise improves hippocampal-cortical connectivity at the macroscale level. However, the neurophysiological basis of exercise-induced effects on hippocampal-cortical circuits remains unknown. Experimental evidence supports the idea that hippocampal sharp wave-ripples (SWR) play a critical role in learning and memory. Coupling between SWRs in the hippocampus and neocortex may reflect modulations in inter-regional connectivity required by mnemonic processes. Here, we examine the hypothesis that exercise modulates hippocampal-cortical ripple dynamics in the human brain. We performed intracranial recordings in epilepsy patients undergoing pre-surgical evaluation, during awake resting state, before and after an exercise session. Exercise increased ripple rate in the hippocampus. Exercise also enhanced the coupling and phase-synchrony between cortical ripples in the limbic and the default mode (DM) cortical networks and hippocampal SWRs. Further, a higher heart rate during exercise, reflecting exercise intensity, was related to a subsequent increase in resting state ripples across specific cortical networks, including the DM network. These results offer the first direct evidence that a single exercise session elicits changes in ripple events, a well-established neurophysiological marker of mnemonic processing. The characterisation and anatomical distribution of the described modulation points to hippocampal ripples as a potential mechanism by which exercise elicits its reported short-term effects in cognition.","lang":"eng"}],"intvolume":"         8","file_date_updated":"2026-03-23T14:27:39Z","author":[{"first_name":"Araceli R.","full_name":"Cardenas, Araceli R.","last_name":"Cardenas"},{"last_name":"Ramirez Villegas","full_name":"Ramirez Villegas, Juan F","id":"44B06F76-F248-11E8-B48F-1D18A9856A87","first_name":"Juan F"},{"last_name":"Kovach","full_name":"Kovach, Christopher K.","first_name":"Christopher K."},{"first_name":"Phillip E.","full_name":"Gander, Phillip E.","last_name":"Gander"},{"first_name":"Rachel C.","last_name":"Cole","full_name":"Cole, Rachel C."},{"full_name":"Grossbach, Andrew J.","last_name":"Grossbach","first_name":"Andrew J."},{"full_name":"Kawasaki, Hiroto","last_name":"Kawasaki","first_name":"Hiroto"},{"first_name":"Jeremy D.W.","last_name":"Greenlee","full_name":"Greenlee, Jeremy D.W."},{"first_name":"Matthew A.","last_name":"Howard","full_name":"Howard, Matthew A."},{"first_name":"Kirill V.","last_name":"Nourski","full_name":"Nourski, Kirill V."},{"last_name":"Banks","full_name":"Banks, Matthew I.","first_name":"Matthew I."},{"last_name":"Voss","full_name":"Voss, Michelle W.","first_name":"Michelle W."}],"scopus_import":"1","publication":"Brain Communications","publication_identifier":{"eissn":["2632-1297"]},"oa":1,"file":[{"date_updated":"2026-03-23T14:27:39Z","content_type":"application/pdf","checksum":"b5b45c16defeaf88056fc3b939bd0350","file_size":33974419,"file_name":"2026_BrainCommunications_Cardenas.pdf","creator":"dernst","date_created":"2026-03-23T14:27:39Z","file_id":"21478","access_level":"open_access","relation":"main_file","success":1}],"DOAJ_listed":"1","acknowledgement":"We acknowledge the generosity of the patients, who contributed time and effort to take part in this study."},{"file":[{"content_type":"application/zip","checksum":"04d761ed42e8879abffde04a560409ce","date_updated":"2025-02-04T10:16:52Z","file_id":"18992","date_created":"2025-02-04T10:16:52Z","creator":"hchiossi","file_name":"Chiossi_etal_2025_PNAS_data.zip","file_size":769383201,"relation":"main_file","access_level":"open_access","success":1},{"checksum":"50602931dcd33e4f009ed46af11335f3","content_type":"text/plain","date_updated":"2025-02-04T10:18:33Z","file_name":"readme.txt","creator":"hchiossi","date_created":"2025-02-04T10:18:33Z","file_id":"18993","file_size":3215,"access_level":"open_access","relation":"main_file","success":1}],"acknowledgement":"Thanks to Rebecca Morse for performing one of the experiments under H.S.C.C. supervision and Jago Wallenschus for technical support, especially with maze design.","oa":1,"author":[{"first_name":"Heloisa","id":"2BBA502C-F248-11E8-B48F-1D18A9856A87","last_name":"Chiossi","full_name":"Chiossi, Heloisa","orcid":"0009-0004-2973-278X"}],"keyword":["hippocampus","electrophysiology","behavior"],"file_date_updated":"2025-02-04T10:18:33Z","license":"https://creativecommons.org/licenses/by-nc-nd/4.0/","abstract":[{"lang":"eng","text":"Research data for the article \"Learning reshapes the hippocampal representation hierarchy\" from Chiossi et al. (PNAS, 2025). The data includes hippocampal CA1 unit activity and behaviour tracking of 5 Long Evans rats during the learning of an associative memory task. Detailed information can be found in the 'readme.txt' file."}],"acknowledged_ssus":[{"_id":"PreCl"},{"_id":"M-Shop"}],"contributor":[{"orcid":"0000-0001-8849-6570","first_name":"Michele","id":"30BD0376-F248-11E8-B48F-1D18A9856A87","contributor_type":"researcher","last_name":"Nardin"},{"orcid":"0000-0002-6699-1455","contributor_type":"supervisor","last_name":"Tkačik","id":"3D494DCA-F248-11E8-B48F-1D18A9856A87","first_name":"Gašper"},{"first_name":"Jozsef L","id":"3FA14672-F248-11E8-B48F-1D18A9856A87","contributor_type":"supervisor","last_name":"Csicsvari","orcid":"0000-0002-5193-4036"}],"date_created":"2025-02-04T10:36:18Z","department":[{"_id":"GradSch"},{"_id":"JoCs"},{"_id":"GaTk"}],"corr_author":"1","status":"public","tmp":{"name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","image":"/images/cc_by_nc_nd.png","short":"CC BY-NC-ND (4.0)","legal_code_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode"},"day":"04","type":"research_data","publisher":"Institute of Science and Technology Austria","has_accepted_license":"1","date_published":"2025-02-04T00:00:00Z","date_updated":"2025-09-30T11:11:51Z","year":"2025","oa_version":"Published Version","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","_id":"18991","month":"02","title":"Research data for the publication \"Learning reshapes the hippocampal representation hierarchy\"","article_processing_charge":"No","related_material":{"record":[{"id":"19453","status":"public","relation":"used_in_publication"}]},"citation":{"short":"H.S.C. Chiossi, (2025).","mla":"Chiossi, Heloisa S. C. <i>Research Data for the Publication “Learning Reshapes the Hippocampal Representation Hierarchy.”</i> Institute of Science and Technology Austria, 2025, doi:<a href=\"https://doi.org/10.15479/AT:ISTA:18991\">10.15479/AT:ISTA:18991</a>.","ieee":"H. S. C. Chiossi, “Research data for the publication ‘Learning reshapes the hippocampal representation hierarchy.’” Institute of Science and Technology Austria, 2025.","ama":"Chiossi HSC. Research data for the publication “Learning reshapes the hippocampal representation hierarchy.” 2025. doi:<a href=\"https://doi.org/10.15479/AT:ISTA:18991\">10.15479/AT:ISTA:18991</a>","apa":"Chiossi, H. S. C. (2025). Research data for the publication “Learning reshapes the hippocampal representation hierarchy.” Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/AT:ISTA:18991\">https://doi.org/10.15479/AT:ISTA:18991</a>","chicago":"Chiossi, Heloisa S. C. “Research Data for the Publication ‘Learning Reshapes the Hippocampal Representation Hierarchy.’” Institute of Science and Technology Austria, 2025. <a href=\"https://doi.org/10.15479/AT:ISTA:18991\">https://doi.org/10.15479/AT:ISTA:18991</a>.","ista":"Chiossi HSC. 2025. Research data for the publication ‘Learning reshapes the hippocampal representation hierarchy’, Institute of Science and Technology Austria, <a href=\"https://doi.org/10.15479/AT:ISTA:18991\">10.15479/AT:ISTA:18991</a>."},"ddc":["570"],"OA_type":"gold","OA_place":"repository","doi":"10.15479/AT:ISTA:18991"},{"user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","date_published":"2025-03-10T00:00:00Z","has_accepted_license":"1","project":[{"name":"International IST Doctoral Program","call_identifier":"H2020","grant_number":"665385","_id":"2564DBCA-B435-11E9-9278-68D0E5697425"}],"date_updated":"2025-09-30T11:11:51Z","oa_version":"Published Version","year":"2025","issue":"11","day":"10","publisher":"National Academy of Sciences","type":"journal_article","status":"public","tmp":{"name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","image":"/images/cc_by_nc_nd.png","short":"CC BY-NC-ND (4.0)","legal_code_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode"},"article_type":"original","OA_type":"hybrid","OA_place":"publisher","doi":"10.1073/pnas.2417025122","ddc":["570"],"article_processing_charge":"Yes (in subscription journal)","related_material":{"record":[{"status":"public","relation":"research_data","id":"18991"}],"link":[{"relation":"software","url":"https://github.com/hchiossi/hpc-hierarchy"}]},"citation":{"apa":"Chiossi, H. S. C., Nardin, M., Tkačik, G., &#38; Csicsvari, J. L. (2025). Learning reshapes the hippocampal representation hierarchy. <i>Proceedings of the National Academy of Sciences</i>. National Academy of Sciences. <a href=\"https://doi.org/10.1073/pnas.2417025122\">https://doi.org/10.1073/pnas.2417025122</a>","ama":"Chiossi HSC, Nardin M, Tkačik G, Csicsvari JL. Learning reshapes the hippocampal representation hierarchy. <i>Proceedings of the National Academy of Sciences</i>. 2025;122(11). doi:<a href=\"https://doi.org/10.1073/pnas.2417025122\">10.1073/pnas.2417025122</a>","ista":"Chiossi HSC, Nardin M, Tkačik G, Csicsvari JL. 2025. Learning reshapes the hippocampal representation hierarchy. Proceedings of the National Academy of Sciences. 122(11), e2417025122.","chicago":"Chiossi, Heloisa S. C., Michele Nardin, Gašper Tkačik, and Jozsef L Csicsvari. “Learning Reshapes the Hippocampal Representation Hierarchy.” <i>Proceedings of the National Academy of Sciences</i>. National Academy of Sciences, 2025. <a href=\"https://doi.org/10.1073/pnas.2417025122\">https://doi.org/10.1073/pnas.2417025122</a>.","mla":"Chiossi, Heloisa S. C., et al. “Learning Reshapes the Hippocampal Representation Hierarchy.” <i>Proceedings of the National Academy of Sciences</i>, vol. 122, no. 11, e2417025122, National Academy of Sciences, 2025, doi:<a href=\"https://doi.org/10.1073/pnas.2417025122\">10.1073/pnas.2417025122</a>.","short":"H.S.C. Chiossi, M. Nardin, G. Tkačik, J.L. Csicsvari, Proceedings of the National Academy of Sciences 122 (2025).","ieee":"H. S. C. Chiossi, M. Nardin, G. Tkačik, and J. L. Csicsvari, “Learning reshapes the hippocampal representation hierarchy,” <i>Proceedings of the National Academy of Sciences</i>, vol. 122, no. 11. National Academy of Sciences, 2025."},"_id":"19453","month":"03","title":"Learning reshapes the hippocampal representation hierarchy","scopus_import":"1","author":[{"id":"2BBA502C-F248-11E8-B48F-1D18A9856A87","first_name":"Heloisa","full_name":"Chiossi, Heloisa","last_name":"Chiossi","orcid":"0009-0004-2973-278X"},{"full_name":"Nardin, Michele","last_name":"Nardin","id":"30BD0376-F248-11E8-B48F-1D18A9856A87","first_name":"Michele","orcid":"0000-0001-8849-6570"},{"id":"3D494DCA-F248-11E8-B48F-1D18A9856A87","first_name":"Gašper","last_name":"Tkačik","full_name":"Tkačik, Gašper","orcid":"0000-0002-6699-1455"},{"first_name":"Jozsef L","id":"3FA14672-F248-11E8-B48F-1D18A9856A87","last_name":"Csicsvari","full_name":"Csicsvari, Jozsef L","orcid":"0000-0002-5193-4036"}],"publication":"Proceedings of the National Academy of Sciences","file_date_updated":"2025-03-25T07:49:04Z","intvolume":"       122","isi":1,"ec_funded":1,"pmid":1,"acknowledgement":"We would like to thank Rebecca Morse for performing the recordings in one of the animals under the supervision of H.S.C.C., Jago Wallenschus for the technical support, especially with maze design, Wiktor Mlynarski for the advice and discussions and Andrea Cumpelik for suggestions during the writing. M.N. was supported by the Howard Hughes Medical Institute. H.S.C.C. received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 665385.","file":[{"relation":"main_file","access_level":"open_access","success":1,"content_type":"application/pdf","checksum":"1217207c254553154faa065964990988","date_updated":"2025-03-25T07:49:04Z","date_created":"2025-03-25T07:49:04Z","file_id":"19454","file_name":"2025_PNAS_Chiossi.pdf","creator":"dernst","file_size":1553502}],"oa":1,"publication_identifier":{"issn":["0027-8424"],"eissn":["1091-6490"]},"date_created":"2025-03-25T07:38:35Z","department":[{"_id":"GaTk"},{"_id":"JoCs"}],"external_id":{"pmid":["40063792"],"isi":["001459499500001"]},"corr_author":"1","language":[{"iso":"eng"}],"publication_status":"published","article_number":"e2417025122","abstract":[{"text":"A key feature of biological and artificial neural networks is the progressive refinement of their neural representations with experience. In neuroscience, this fact has inspired several recent studies in sensory and motor systems. However, less is known about how higher associational cortical areas, such as the hippocampus, modify representations throughout the learning of complex tasks. Here, we focus on associative learning, a process that requires forming a connection between the representations of different variables for appropriate behavioral response. We trained rats in a space-context associative task and monitored hippocampal neural activity throughout the entire learning period, over several days. This allowed us to assess changes in the representations of context, movement direction, and position, as well as their relationship to behavior. We identified a hierarchical representational structure in the encoding of these three task variables that was preserved throughout learning. Nevertheless, we also observed changes at the lower levels of the hierarchy where context was encoded. These changes were local in neural activity space and restricted to physical positions where context identification was necessary for correct decision-making, supporting better context decoding and contextual code compression. Our results demonstrate that the hippocampal code not only accommodates hierarchical relationships between different variables but also enables efficient learning through minimal changes in neural activity space. Beyond the hippocampus, our work reveals a representation learning mechanism that might be implemented in other biological and artificial networks performing similar tasks.","lang":"eng"}],"volume":122,"quality_controlled":"1"},{"article_processing_charge":"No","citation":{"short":"P. Zivadinovic, Scale-Free Activity as a Basis for Spatial Learning and Memory in the Brain, Institute of Science and Technology Austria, 2025.","mla":"Zivadinovic, Predrag. <i>Scale-Free Activity as a Basis for Spatial Learning and Memory in the Brain</i>. Institute of Science and Technology Austria, 2025, doi:<a href=\"https://doi.org/10.15479/AT-ISTA-20777\">10.15479/AT-ISTA-20777</a>.","ieee":"P. Zivadinovic, “Scale-free activity as a basis for spatial learning and memory in the brain,” Institute of Science and Technology Austria, 2025.","ama":"Zivadinovic P. Scale-free activity as a basis for spatial learning and memory in the brain. 2025. doi:<a href=\"https://doi.org/10.15479/AT-ISTA-20777\">10.15479/AT-ISTA-20777</a>","apa":"Zivadinovic, P. (2025). <i>Scale-free activity as a basis for spatial learning and memory in the brain</i>. Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/AT-ISTA-20777\">https://doi.org/10.15479/AT-ISTA-20777</a>","chicago":"Zivadinovic, Predrag. “Scale-Free Activity as a Basis for Spatial Learning and Memory in the Brain.” Institute of Science and Technology Austria, 2025. <a href=\"https://doi.org/10.15479/AT-ISTA-20777\">https://doi.org/10.15479/AT-ISTA-20777</a>.","ista":"Zivadinovic P. 2025. Scale-free activity as a basis for spatial learning and memory in the brain. Institute of Science and Technology Austria."},"_id":"20777","title":"Scale-free activity as a basis for spatial learning and memory in the brain","month":"12","doi":"10.15479/AT-ISTA-20777","OA_place":"publisher","alternative_title":["ISTA Thesis"],"ddc":["570","539","571"],"type":"dissertation","day":"11","publisher":"Institute of Science and Technology Austria","status":"public","user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","page":"104","date_published":"2025-12-11T00:00:00Z","has_accepted_license":"1","project":[{"grant_number":"M03318","_id":"eb943429-77a9-11ec-83b8-9f471cdf5c67","name":"Functional Advantages of Critical Brain Dynamics"}],"year":"2025","oa_version":"Published Version","date_updated":"2026-04-07T12:30:06Z","supervisor":[{"first_name":"Jozsef L","id":"3FA14672-F248-11E8-B48F-1D18A9856A87","last_name":"Csicsvari","full_name":"Csicsvari, Jozsef L","orcid":"0000-0002-5193-4036"}],"department":[{"_id":"GradSch"},{"_id":"JoCs"}],"date_created":"2025-12-10T19:37:41Z","corr_author":"1","language":[{"iso":"eng"}],"degree_awarded":"PhD","publication_status":"published","acknowledgement":"My work has been funded through the project \"Functional Advantages of Critical Brain\r\nDynamics\" of the ISTA interdisciplinary fund and through the FWF.\r\n","file":[{"relation":"main_file","access_level":"closed","embargo_to":"open_access","embargo":"2026-06-11","checksum":"aae9d1ed53f7b67f75e289c26a02b72f","content_type":"application/pdf","date_updated":"2025-12-11T11:15:17Z","date_created":"2025-12-10T19:28:20Z","file_id":"20778","creator":"pzivadin","file_name":"2025_Zivadinovic_Predrag_PhD_thesis.pdf","file_size":8105379},{"file_size":8512240,"date_created":"2025-12-10T19:28:10Z","file_id":"20779","creator":"pzivadin","file_name":"2025_Zivadinovic_Predrag_PhD_thesis_source.zip","date_updated":"2025-12-10T19:28:10Z","checksum":"8a08a3804ce7d9d625fdf1631113da8c","content_type":"application/zip","relation":"source_file","access_level":"closed"}],"publication_identifier":{"issn":["2663-337X"]},"file_date_updated":"2025-12-11T11:15:17Z","author":[{"first_name":"Predrag","id":"68AA0E5A-AFDA-11E9-9994-141DE6697425","full_name":"Zivadinovic, Predrag","last_name":"Zivadinovic"}]},{"article_type":"original","OA_type":"gold","OA_place":"publisher","doi":"10.5194/mr-6-243-2025","ddc":["000"],"related_material":{"link":[{"url":"https://ista.ac.at/en/news/carbon-footprint-of-conference-travel/","relation":"research_data","description":"News on ISTA website"}],"record":[{"status":"public","relation":"research_data","id":"20242"}]},"PlanS_conform":"1","citation":{"apa":"Kapoor, L., Ruzickova, N., Zivadinovic, P., Leitner, V., Sisak, M. A., Mweka, C. N., … Schanda, P. (2025). Quantifying the carbon footprint of conference travel: The case of NMR meetings. <i>Magnetic Resonance</i>. Copernicus Publications. <a href=\"https://doi.org/10.5194/mr-6-243-2025\">https://doi.org/10.5194/mr-6-243-2025</a>","ama":"Kapoor L, Ruzickova N, Zivadinovic P, et al. Quantifying the carbon footprint of conference travel: The case of NMR meetings. <i>Magnetic Resonance</i>. 2025;6(2):243-256. doi:<a href=\"https://doi.org/10.5194/mr-6-243-2025\">10.5194/mr-6-243-2025</a>","ista":"Kapoor L, Ruzickova N, Zivadinovic P, Leitner V, Sisak MA, Mweka CN, Dobbelaere JA, Katsaros G, Schanda P. 2025. Quantifying the carbon footprint of conference travel: The case of NMR meetings. Magnetic Resonance. 6(2), 243–256.","chicago":"Kapoor, Lucky, Natalia Ruzickova, Predrag Zivadinovic, Valentin Leitner, Maria A Sisak, Cecelia N Mweka, Jeroen A Dobbelaere, Georgios Katsaros, and Paul Schanda. “Quantifying the Carbon Footprint of Conference Travel: The Case of NMR Meetings.” <i>Magnetic Resonance</i>. Copernicus Publications, 2025. <a href=\"https://doi.org/10.5194/mr-6-243-2025\">https://doi.org/10.5194/mr-6-243-2025</a>.","mla":"Kapoor, Lucky, et al. “Quantifying the Carbon Footprint of Conference Travel: The Case of NMR Meetings.” <i>Magnetic Resonance</i>, vol. 6, no. 2, Copernicus Publications, 2025, pp. 243–56, doi:<a href=\"https://doi.org/10.5194/mr-6-243-2025\">10.5194/mr-6-243-2025</a>.","short":"L. Kapoor, N. Ruzickova, P. Zivadinovic, V. Leitner, M.A. Sisak, C.N. Mweka, J.A. Dobbelaere, G. Katsaros, P. Schanda, Magnetic Resonance 6 (2025) 243–256.","ieee":"L. Kapoor <i>et al.</i>, “Quantifying the carbon footprint of conference travel: The case of NMR meetings,” <i>Magnetic Resonance</i>, vol. 6, no. 2. Copernicus Publications, pp. 243–256, 2025."},"article_processing_charge":"Yes","month":"11","title":"Quantifying the carbon footprint of conference travel: The case of NMR meetings","_id":"20664","page":"243-256","user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","date_updated":"2026-04-28T13:15:31Z","year":"2025","oa_version":"Published Version","has_accepted_license":"1","date_published":"2025-11-10T00:00:00Z","issue":"2","publisher":"Copernicus Publications","day":"10","type":"journal_article","tmp":{"short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"status":"public","corr_author":"1","language":[{"iso":"eng"}],"date_created":"2025-11-23T23:01:39Z","department":[{"_id":"JoFi"},{"_id":"GaTk"},{"_id":"JoCs"},{"_id":"EvBe"},{"_id":"TaHa"},{"_id":"GradSch"},{"_id":"GeKa"},{"_id":"PaSc"}],"publication_status":"published","abstract":[{"text":"Conference travel contributes to the climate footprint of academic research. Here, we provide a quantitative estimate of the carbon emissions associated with conference attendance by analyzing travel data from participants of 10 international conferences in the field of magnetic resonance, namely EUROMAR, ENC and ICMRBS. We find that attending a EUROMAR conference produces, on average, more than 1 t CO2 eq.. For the analyzed conferences outside Europe, the corresponding value is about 2–3 times higher, on average, with intercontinental trips amounting to up to 5 t. We compare these conference-related emissions to other activities associated with research and show that conference travel is a substantial portion of the total climate footprint of a researcher in magnetic resonance. We explore several strategies to reduce these emissions, including the impact of selecting conference venues more strategically and the possibility of decentralized conferences. Through a detailed comparison of train versus air travel – accounting for both direct and infrastructure-related emissions – we demonstrate that train travel offers considerable carbon savings. These data may provide a basis for strategic choices of future conferences in the field and for individuals deciding on their conference attendance.","lang":"eng"}],"quality_controlled":"1","volume":6,"intvolume":"         6","author":[{"full_name":"Kapoor, Lucky","last_name":"Kapoor","first_name":"Lucky","id":"84b9700b-15b2-11ec-abd3-831089e67615","orcid":"0000-0001-8319-2148"},{"first_name":"Natalia","id":"D2761128-D73D-11E9-A1BF-BA0DE6697425","full_name":"Ruzickova, Natalia","last_name":"Ruzickova"},{"first_name":"Predrag","id":"68AA0E5A-AFDA-11E9-9994-141DE6697425","full_name":"Zivadinovic, Predrag","last_name":"Zivadinovic"},{"last_name":"Leitner","full_name":"Leitner, Valentin","id":"4c665ce3-0016-11ec-bea0-e44de7a4fa3d","first_name":"Valentin"},{"id":"44A03D04-AEA4-11E9-B225-EA2DE6697425","first_name":"Maria A","full_name":"Sisak, Maria A","last_name":"Sisak"},{"id":"2a69ab4b-896a-11ed-bdf8-cb8641cf2b21","first_name":"Cecelia N","last_name":"Mweka","full_name":"Mweka, Cecelia N"},{"id":"c15a5412-de82-11ed-b809-8dc1aa996e40","first_name":"Jeroen A","full_name":"Dobbelaere, Jeroen A","last_name":"Dobbelaere"},{"id":"38DB5788-F248-11E8-B48F-1D18A9856A87","first_name":"Georgios","full_name":"Katsaros, Georgios","last_name":"Katsaros","orcid":"0000-0001-8342-202X"},{"orcid":"0000-0002-9350-7606","last_name":"Schanda","full_name":"Schanda, Paul","id":"7B541462-FAF6-11E9-A490-E8DFE5697425","first_name":"Paul"}],"scopus_import":"1","file_date_updated":"2025-11-24T08:25:19Z","publication":"Magnetic Resonance","publication_identifier":{"eissn":["2699-0016"]},"oa":1,"acknowledgement":"First and foremost, we are grateful to the conference organizers who have provided data, either in the form of tables or by pointing us to abstract books. We thank the reviewers and the handling editor (Gottfried Otting) for the careful reading and suggestions. This project emerged from an interactive course about energy and climate, held at IST Austria by Jeroen Dobbelaere, Georgios Katsaros and Paul Schanda. We are grateful to ISTA's Graduate School for enabling this interdisciplinary course and to all participating students. We thank the following persons for discussions and/or comments about the manuscript: Helene Van Melckebeke, Mei Hong, Jeff Hoch, Gottfried Otting and Matthias Ernst. For the preparation of the manuscript, AI tools have been used, namely for finding relevant literature (ChatGPT) and for correcting the text (Writefull, within Overleaf LaTeX).","file":[{"file_size":3081399,"creator":"dernst","file_name":"2025_MagneticResonance_Kapoor.pdf","file_id":"20672","date_created":"2025-11-24T08:25:19Z","date_updated":"2025-11-24T08:25:19Z","checksum":"c63dd47b0e77f9451821436bb77d27c9","content_type":"application/pdf","success":1,"access_level":"open_access","relation":"main_file"}],"DOAJ_listed":"1"},{"title":"Sleep stages antagonistically modulate reactivation drift","month":"05","_id":"19506","citation":{"ama":"Bollmann L, Baracskay P, Stella F, Csicsvari JL. Sleep stages antagonistically modulate reactivation drift. <i>Neuron</i>. 2025;113(9):1446-1459.e6. doi:<a href=\"https://doi.org/10.1016/j.neuron.2025.02.025\">10.1016/j.neuron.2025.02.025</a>","apa":"Bollmann, L., Baracskay, P., Stella, F., &#38; Csicsvari, J. L. (2025). Sleep stages antagonistically modulate reactivation drift. <i>Neuron</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.neuron.2025.02.025\">https://doi.org/10.1016/j.neuron.2025.02.025</a>","chicago":"Bollmann, Lars, Peter Baracskay, Federico Stella, and Jozsef L Csicsvari. “Sleep Stages Antagonistically Modulate Reactivation Drift.” <i>Neuron</i>. Elsevier, 2025. <a href=\"https://doi.org/10.1016/j.neuron.2025.02.025\">https://doi.org/10.1016/j.neuron.2025.02.025</a>.","ista":"Bollmann L, Baracskay P, Stella F, Csicsvari JL. 2025. Sleep stages antagonistically modulate reactivation drift. Neuron. 113(9), 1446–1459.e6.","short":"L. Bollmann, P. Baracskay, F. Stella, J.L. Csicsvari, Neuron 113 (2025) 1446–1459.e6.","mla":"Bollmann, Lars, et al. “Sleep Stages Antagonistically Modulate Reactivation Drift.” <i>Neuron</i>, vol. 113, no. 9, Elsevier, 2025, p. 1446–1459.e6, doi:<a href=\"https://doi.org/10.1016/j.neuron.2025.02.025\">10.1016/j.neuron.2025.02.025</a>.","ieee":"L. Bollmann, P. Baracskay, F. Stella, and J. L. Csicsvari, “Sleep stages antagonistically modulate reactivation drift,” <i>Neuron</i>, vol. 113, no. 9. Elsevier, p. 1446–1459.e6, 2025."},"related_material":{"link":[{"url":"https://ista.ac.at/en/news/how-sleep-keeps-our-memories-fresh/","relation":"press_release","description":"News on ISTA website"}]},"PlanS_conform":"1","article_processing_charge":"Yes (via OA deal)","ddc":["570"],"OA_place":"publisher","doi":"10.1016/j.neuron.2025.02.025","OA_type":"hybrid","article_type":"original","tmp":{"short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"status":"public","type":"journal_article","day":"07","publisher":"Elsevier","issue":"9","year":"2025","oa_version":"Published Version","date_updated":"2026-04-28T13:39:22Z","project":[{"call_identifier":"FP7","name":"Memory-related information processing in neuronal circuits of the hippocampus and entorhinal cortex","grant_number":"281511","_id":"257A4776-B435-11E9-9278-68D0E5697425"},{"grant_number":"I 3713-B27","_id":"2654F984-B435-11E9-9278-68D0E5697425","name":"Interneuro plasticity during spatial learning","call_identifier":"FWF"}],"date_published":"2025-05-07T00:00:00Z","has_accepted_license":"1","page":"1446-1459.e6","user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","quality_controlled":"1","volume":113,"abstract":[{"text":"Hippocampal reactivation of waking neuronal assemblies in sleep is a key initial step of systems consolidation. Nevertheless, it is unclear whether reactivated assemblies are static or whether they reorganize gradually over prolonged sleep. We tracked reactivated CA1 assembly patterns over ∼20 h of sleep/rest periods and related them to assemblies seen before or after in a spatial learning paradigm using rats. We found that reactivated assembly patterns were gradually transformed and started to resemble those seen in the subsequent recall session. Periods of rapid eye movement (REM) sleep and non-REM (NREM) had antagonistic roles: whereas NREM accelerated the assembly drift, REM countered it. Moreover, only a subset of rate-changing pyramidal cells contributed to the drift, whereas stable-firing-rate cells maintained unaltered reactivation patterns. Our data suggest that prolonged sleep promotes the spontaneous reorganization of spatial assemblies, which can contribute to daily cognitive map changes or encoding new learning situations.","lang":"eng"}],"publication_status":"published","corr_author":"1","language":[{"iso":"eng"}],"department":[{"_id":"JoCs"}],"external_id":{"pmid":["40132588"],"isi":["001510440400001"]},"date_created":"2025-04-06T22:01:32Z","oa":1,"publication_identifier":{"issn":["0896-6273"],"eissn":["1097-4199"]},"acknowledgement":"We thank Andrea Cumpelik, Lisa Genzel, and Freya Ólafsdóttir for comments on an earlier version of the manuscript. This work was supported by the European Research Council (281511) and Austrian Science Fund (FWF I3713).","file":[{"checksum":"5e57852a45a78a751dd3a5e807bf015f","content_type":"application/pdf","date_updated":"2025-08-05T12:43:44Z","date_created":"2025-08-05T12:43:44Z","file_id":"20133","file_name":"2025_Neuron_Bollmann.pdf","creator":"dernst","file_size":27047730,"relation":"main_file","access_level":"open_access","success":1}],"pmid":1,"ec_funded":1,"intvolume":"       113","isi":1,"file_date_updated":"2025-08-05T12:43:44Z","scopus_import":"1","publication":"Neuron","author":[{"first_name":"Lars","id":"47AD3038-F248-11E8-B48F-1D18A9856A87","last_name":"Bollmann","full_name":"Bollmann, Lars"},{"first_name":"Peter","id":"361CC00E-F248-11E8-B48F-1D18A9856A87","full_name":"Baracskay, Peter","last_name":"Baracskay"},{"orcid":"0000-0001-9439-3148","last_name":"Stella","full_name":"Stella, Federico","id":"39AF1E74-F248-11E8-B48F-1D18A9856A87","first_name":"Federico"},{"orcid":"0000-0002-5193-4036","id":"3FA14672-F248-11E8-B48F-1D18A9856A87","first_name":"Jozsef L","last_name":"Csicsvari","full_name":"Csicsvari, Jozsef L"}]},{"abstract":[{"text":"Making decisions requires flexibly adapting to changing environments, a process that\r\ndepends on accurately interpreting current contingencies and integrating them with\r\npast experience. Two brain regions are particularly critical for this process, the medial\r\nprefrontal cortex (mPFC) and the hippocampus. Using contextual information from the\r\nhippocampus, the mPFC selects relevant cognitive frameworks and suppresses\r\nirrelevant ones to guide appropriate actions. Several studies have shown that some\r\nmPFC pyramidal neurons become spatially tuned when spatial information is required\r\nto guide goal-directed behavior. However, the role of prefrontal spatial representations\r\nin learning and decision making is not well understood. This work aims to characterize\r\nthe role of mPFC spatial tuning in supporting a contextual association task. Rats were\r\ntrained to learn two cue–location associations on a radial arm maze over multiple days,\r\nwhile we simultaneously recorded from dorsal CA1 of the hippocampus and the\r\nprelimbic area of the mPFC. We describe a subset of spatially tuned hippocampal and\r\nprefrontal pyramidal neurons that “flicker” between multiple spatial representations on\r\ndifferent trials, suggesting dynamic, context-dependent coding. This flickering may\r\nprovide a substrate for how the network reorganizes in response to task demands,\r\nlikely by enabling the flexible evaluation of competing representations. ","lang":"eng"}],"supervisor":[{"orcid":"0000-0002-5193-4036","id":"3FA14672-F248-11E8-B48F-1D18A9856A87","first_name":"Jozsef L","last_name":"Csicsvari","full_name":"Csicsvari, Jozsef L"}],"acknowledged_ssus":[{"_id":"PreCl"},{"_id":"Bio"},{"_id":"LifeSc"},{"_id":"M-Shop"}],"department":[{"_id":"GradSch"},{"_id":"JoCs"}],"date_created":"2025-03-25T11:22:38Z","corr_author":"1","language":[{"iso":"eng"}],"degree_awarded":"PhD","publication_status":"published","OA_embargo":"6 months","file":[{"file_id":"19457","date_created":"2025-03-25T11:07:55Z","creator":"acumpeli","file_name":"2025_Thesis_Cumpelik_corrections_PDFA.pdf","file_size":11869040,"checksum":"1c7573303d8e5f6da3eb03d59055390f","content_type":"application/pdf","date_updated":"2025-09-30T22:30:02Z","embargo":"2025-09-30","relation":"main_file","access_level":"open_access"},{"creator":"acumpeli","file_name":"2025_Thesis_Cumpelik_corrections.docx","file_id":"19458","date_created":"2025-03-25T11:08:05Z","file_size":20436467,"checksum":"b93265ebd9a53f7a14100d0d48b4ff5b","content_type":"application/vnd.openxmlformats-officedocument.wordprocessingml.document","date_updated":"2025-09-30T22:30:02Z","access_level":"closed","relation":"source_file","embargo_to":"open_access"}],"publication_identifier":{"isbn":["978-3-99078-056-5"],"issn":["2663-337X"]},"oa":1,"author":[{"orcid":"0000-0003-1727-6612","first_name":"Andrea D","id":"3F158B32-F248-11E8-B48F-1D18A9856A87","last_name":"Cumpelik","full_name":"Cumpelik, Andrea D"}],"keyword":["neuroscience","decision making","learning","cognitive flexibility","medial prefrontal cortex","hippocampus","electrophysiology"],"file_date_updated":"2025-09-30T22:30:02Z","article_processing_charge":"No","citation":{"short":"A.D. Cumpelik, The Role of Prefrontal Spatial Coding in Supporting a Contextual Association Task, Institute of Science and Technology Austria, 2025.","mla":"Cumpelik, Andrea D. <i>The Role of Prefrontal Spatial Coding in Supporting a Contextual Association Task</i>. Institute of Science and Technology Austria, 2025, doi:<a href=\"https://doi.org/10.15479/AT-ISTA-19456\">10.15479/AT-ISTA-19456</a>.","ieee":"A. D. Cumpelik, “The role of prefrontal spatial coding in supporting a contextual association task,” Institute of Science and Technology Austria, 2025.","ama":"Cumpelik AD. The role of prefrontal spatial coding in supporting a contextual association task. 2025. doi:<a href=\"https://doi.org/10.15479/AT-ISTA-19456\">10.15479/AT-ISTA-19456</a>","apa":"Cumpelik, A. D. (2025). <i>The role of prefrontal spatial coding in supporting a contextual association task</i>. Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/AT-ISTA-19456\">https://doi.org/10.15479/AT-ISTA-19456</a>","chicago":"Cumpelik, Andrea D. “The Role of Prefrontal Spatial Coding in Supporting a Contextual Association Task.” Institute of Science and Technology Austria, 2025. <a href=\"https://doi.org/10.15479/AT-ISTA-19456\">https://doi.org/10.15479/AT-ISTA-19456</a>.","ista":"Cumpelik AD. 2025. The role of prefrontal spatial coding in supporting a contextual association task. Institute of Science and Technology Austria."},"_id":"19456","title":"The role of prefrontal spatial coding in supporting a contextual association task","month":"02","doi":"10.15479/AT-ISTA-19456","OA_place":"publisher","alternative_title":["ISTA Thesis"],"ddc":["612"],"publisher":"Institute of Science and Technology Austria","day":"18","type":"dissertation","status":"public","user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","page":"96","date_published":"2025-02-18T00:00:00Z","has_accepted_license":"1","year":"2025","oa_version":"Published Version","date_updated":"2026-04-07T12:37:58Z"},{"acknowledged_ssus":[{"_id":"M-Shop"},{"_id":"Bio"},{"_id":"LifeSc"},{"_id":"PreCl"}],"abstract":[{"lang":"eng","text":"Cholecystokinin-expressing interneurons (CCKIs) are hypothesized to shape pyramidal cell-firing patterns and regulate network oscillations and related network state transitions. To directly probe their role in the CA1 region, we silenced their activity using optogenetic and chemogenetic tools in mice. Opto-tagged CCKIs revealed a heterogeneous population, and their optogenetic silencing triggered wide disinhibitory network changes affecting both pyramidal cells and other interneurons. CCKI silencing enhanced pyramidal cell burst firing and altered the temporal coding of place cells: theta phase precession was disrupted, whereas sequence reactivation was enhanced. Chemogenetic CCKI silencing did not alter the acquisition of spatial reference memories on the Morris water maze but enhanced the recall of contextual fear memories and enabled selective recall when similar environments were tested. This work suggests the key involvement of CCKIs in the control of place-cell temporal coding and the formation of contextual memories."}],"quality_controlled":"1","volume":112,"corr_author":"1","language":[{"iso":"eng"}],"external_id":{"pmid":["38636524"],"isi":["001300571400001"]},"department":[{"_id":"JoCs"}],"date_created":"2024-05-12T22:01:03Z","publication_status":"published","oa":1,"publication_identifier":{"issn":["0896-6273"],"eissn":["1097-4199"]},"file":[{"checksum":"de5b18ff293d42bd90e83a193e889844","content_type":"application/pdf","date_updated":"2025-01-09T09:15:31Z","file_name":"2024_Neuron_RangelGuerrero.pdf","creator":"dernst","date_created":"2025-01-09T09:15:31Z","file_id":"18798","file_size":9149079,"access_level":"open_access","relation":"main_file","success":1}],"acknowledgement":"We thank the kind donations from Andrea Varro, Brian Sauer, Edward Boyden, and Peter Jonas. We thank Jago Wallenschus, Kerstin Kronenbitter, and Didier Gremelle for outstanding technical support; Laura Bollepalli for initial viral targeting experiments; Cihan Önal for initial electrophysiology experiments; Yoav Ben-Simon for histological advice; and Anton Nikitenko for contributing to the analysis. We acknowledge support from the Miba Machine Shop, Bioimaging-, Life Science- and Pre-Clinical Facilities at ISTA. This work was supported by the Austrian Science Fund (FWF I3713 to J.C. as part of the FOR 2143 research consortium), the Deutsche Forschungsgemeinschaft (DFG) (WU 503/2-2 to P.W.), and the Medical Research Council, United Kingdom (grant G1100546/2 to P.W.).","pmid":1,"isi":1,"intvolume":"       112","publication":"Neuron","scopus_import":"1","file_date_updated":"2025-01-09T09:15:31Z","author":[{"id":"4871BCE6-F248-11E8-B48F-1D18A9856A87","first_name":"Dámaris K","last_name":"Rangel Guerrero","full_name":"Rangel Guerrero, Dámaris K","orcid":"0000-0002-8602-4374"},{"last_name":"Balueva","full_name":"Balueva, Kira","first_name":"Kira"},{"first_name":"Uladzislau","id":"b515be12-ec90-11ea-b966-d0b5e15613d2","last_name":"Barayeu","full_name":"Barayeu, Uladzislau"},{"last_name":"Baracskay","full_name":"Baracskay, Peter","first_name":"Peter","id":"361CC00E-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Gridchyn, Igor","last_name":"Gridchyn","id":"4B60654C-F248-11E8-B48F-1D18A9856A87","first_name":"Igor","orcid":"0000-0002-1807-1929"},{"id":"30BD0376-F248-11E8-B48F-1D18A9856A87","first_name":"Michele","last_name":"Nardin","full_name":"Nardin, Michele","orcid":"0000-0001-8849-6570"},{"first_name":"Chiara N","id":"37BB4FB6-F248-11E8-B48F-1D18A9856A87","last_name":"Roth","full_name":"Roth, Chiara N"},{"first_name":"Peer","full_name":"Wulff, Peer","last_name":"Wulff"},{"id":"3FA14672-F248-11E8-B48F-1D18A9856A87","first_name":"Jozsef L","full_name":"Csicsvari, Jozsef L","last_name":"Csicsvari","orcid":"0000-0002-5193-4036"}],"citation":{"chicago":"Rangel Guerrero, Dámaris K, Kira Balueva, Uladzislau Barayeu, Peter Baracskay, Igor Gridchyn, Michele Nardin, Chiara N Roth, Peer Wulff, and Jozsef L Csicsvari. “Hippocampal Cholecystokinin-Expressing Interneurons Regulate Temporal Coding and Contextual Learning.” <i>Neuron</i>. Cell Press, 2024. <a href=\"https://doi.org/10.1016/j.neuron.2024.03.019\">https://doi.org/10.1016/j.neuron.2024.03.019</a>.","ista":"Rangel Guerrero DK, Balueva K, Barayeu U, Baracskay P, Gridchyn I, Nardin M, Roth CN, Wulff P, Csicsvari JL. 2024. Hippocampal cholecystokinin-expressing interneurons regulate temporal coding and contextual learning. Neuron. 112(12), 2045–2061.e10.","ama":"Rangel Guerrero DK, Balueva K, Barayeu U, et al. Hippocampal cholecystokinin-expressing interneurons regulate temporal coding and contextual learning. <i>Neuron</i>. 2024;112(12):2045-2061.e10. doi:<a href=\"https://doi.org/10.1016/j.neuron.2024.03.019\">10.1016/j.neuron.2024.03.019</a>","apa":"Rangel Guerrero, D. K., Balueva, K., Barayeu, U., Baracskay, P., Gridchyn, I., Nardin, M., … Csicsvari, J. L. (2024). Hippocampal cholecystokinin-expressing interneurons regulate temporal coding and contextual learning. <i>Neuron</i>. Cell Press. <a href=\"https://doi.org/10.1016/j.neuron.2024.03.019\">https://doi.org/10.1016/j.neuron.2024.03.019</a>","ieee":"D. K. Rangel Guerrero <i>et al.</i>, “Hippocampal cholecystokinin-expressing interneurons regulate temporal coding and contextual learning,” <i>Neuron</i>, vol. 112, no. 12. Cell Press, p. 2045–2061.e10, 2024.","short":"D.K. Rangel Guerrero, K. Balueva, U. Barayeu, P. Baracskay, I. Gridchyn, M. Nardin, C.N. Roth, P. Wulff, J.L. Csicsvari, Neuron 112 (2024) 2045–2061.e10.","mla":"Rangel Guerrero, Dámaris K., et al. “Hippocampal Cholecystokinin-Expressing Interneurons Regulate Temporal Coding and Contextual Learning.” <i>Neuron</i>, vol. 112, no. 12, Cell Press, 2024, p. 2045–2061.e10, doi:<a href=\"https://doi.org/10.1016/j.neuron.2024.03.019\">10.1016/j.neuron.2024.03.019</a>."},"article_processing_charge":"Yes (via OA deal)","title":"Hippocampal cholecystokinin-expressing interneurons regulate temporal coding and contextual learning","month":"06","_id":"15381","doi":"10.1016/j.neuron.2024.03.019","OA_place":"publisher","OA_type":"hybrid","article_type":"original","ddc":["570"],"type":"journal_article","publisher":"Cell Press","day":"19","issue":"12","tmp":{"short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"status":"public","page":"2045-2061.e10","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","oa_version":"Published Version","year":"2024","date_updated":"2025-09-08T07:26:42Z","has_accepted_license":"1","date_published":"2024-06-19T00:00:00Z","project":[{"grant_number":"I 3713-B27","_id":"2654F984-B435-11E9-9278-68D0E5697425","call_identifier":"FWF","name":"Interneuro plasticity during spatial learning"}]},{"date_created":"2024-06-02T22:00:56Z","department":[{"_id":"JoCs"}],"external_id":{"isi":["001252792600001"]},"language":[{"iso":"eng"}],"publication_status":"published","article_number":"114276","abstract":[{"text":"How the coordination of neuronal spiking and brain rhythms between hippocampal subregions supports memory function remains elusive. We studied the interregional coordination of CA3 neuronal spiking with CA1 theta oscillations by recording electrophysiological signals along the proximodistal axis of the hippocampus in rats that were performing a high-memory-demand recognition memory task adapted from humans. We found that CA3 population spiking occurs preferentially at the peak of distal CA1 theta oscillations when memory was tested but only when previously encountered stimuli were presented. In addition, decoding analyses revealed that only population cell firing of proximal CA3 together with that of distal CA1 can predict performance at test in the present non-spatial task. Overall, our work demonstrates an important role for the synchronization of CA3 neuronal activity with CA1 theta oscillations during memory testing.","lang":"eng"}],"volume":43,"quality_controlled":"1","scopus_import":"1","file_date_updated":"2024-06-03T07:12:45Z","publication":"Cell Reports","author":[{"full_name":"Ku, Shih Pi","last_name":"Ku","first_name":"Shih Pi"},{"first_name":"Erika","last_name":"Atucha","full_name":"Atucha, Erika"},{"last_name":"Alavi","full_name":"Alavi, Nico","first_name":"Nico"},{"first_name":"Halla","last_name":"Mulla-Osman","full_name":"Mulla-Osman, Halla"},{"first_name":"Rukhshona","full_name":"Kayumova, Rukhshona","last_name":"Kayumova"},{"first_name":"Motoharu","last_name":"Yoshida","full_name":"Yoshida, Motoharu"},{"first_name":"Jozsef L","id":"3FA14672-F248-11E8-B48F-1D18A9856A87","full_name":"Csicsvari, Jozsef L","last_name":"Csicsvari","orcid":"0000-0002-5193-4036"},{"full_name":"Sauvage, Magdalena M.","last_name":"Sauvage","first_name":"Magdalena M."}],"intvolume":"        43","isi":1,"file":[{"creator":"dernst","file_name":"2024_CellReports_Ku.pdf","date_created":"2024-06-03T07:12:45Z","file_id":"17096","file_size":4371015,"checksum":"9b43f8ca5e5a12ae96e3fb9df06385c1","content_type":"application/pdf","date_updated":"2024-06-03T07:12:45Z","success":1,"access_level":"open_access","relation":"main_file"}],"acknowledgement":"We would like to thank J. Maiwald for her assistance in animal behavior training, experiments, and brain slice preparation; D. Koch for her assistance in recording drive building and brain slicing; K. Kaefer and J. Wallenschus (IST Austria) for their initial technical support; S. Mikulovich for her comments on an early version of the manuscript; C. Reichert for his comments on SVM analyses; and J. Pakan for English proofreading. This project is funded by the DFG (CRC 779 and CRC 1436).","publication_identifier":{"eissn":["2211-1247"]},"oa":1,"article_type":"original","doi":"10.1016/j.celrep.2024.114276","ddc":["570"],"article_processing_charge":"Yes (in subscription journal)","citation":{"chicago":"Ku, Shih Pi, Erika Atucha, Nico Alavi, Halla Mulla-Osman, Rukhshona Kayumova, Motoharu Yoshida, Jozsef L Csicsvari, and Magdalena M. Sauvage. “Phase Locking of Hippocampal CA3 Neurons to Distal CA1 Theta Oscillations Selectively Predicts Memory Performance.” <i>Cell Reports</i>. Elsevier, 2024. <a href=\"https://doi.org/10.1016/j.celrep.2024.114276\">https://doi.org/10.1016/j.celrep.2024.114276</a>.","ista":"Ku SP, Atucha E, Alavi N, Mulla-Osman H, Kayumova R, Yoshida M, Csicsvari JL, Sauvage MM. 2024. Phase locking of hippocampal CA3 neurons to distal CA1 theta oscillations selectively predicts memory performance. Cell Reports. 43(6), 114276.","ama":"Ku SP, Atucha E, Alavi N, et al. Phase locking of hippocampal CA3 neurons to distal CA1 theta oscillations selectively predicts memory performance. <i>Cell Reports</i>. 2024;43(6). doi:<a href=\"https://doi.org/10.1016/j.celrep.2024.114276\">10.1016/j.celrep.2024.114276</a>","apa":"Ku, S. P., Atucha, E., Alavi, N., Mulla-Osman, H., Kayumova, R., Yoshida, M., … Sauvage, M. M. (2024). Phase locking of hippocampal CA3 neurons to distal CA1 theta oscillations selectively predicts memory performance. <i>Cell Reports</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.celrep.2024.114276\">https://doi.org/10.1016/j.celrep.2024.114276</a>","ieee":"S. P. Ku <i>et al.</i>, “Phase locking of hippocampal CA3 neurons to distal CA1 theta oscillations selectively predicts memory performance,” <i>Cell Reports</i>, vol. 43, no. 6. Elsevier, 2024.","mla":"Ku, Shih Pi, et al. “Phase Locking of Hippocampal CA3 Neurons to Distal CA1 Theta Oscillations Selectively Predicts Memory Performance.” <i>Cell Reports</i>, vol. 43, no. 6, 114276, Elsevier, 2024, doi:<a href=\"https://doi.org/10.1016/j.celrep.2024.114276\">10.1016/j.celrep.2024.114276</a>.","short":"S.P. Ku, E. Atucha, N. Alavi, H. Mulla-Osman, R. Kayumova, M. Yoshida, J.L. Csicsvari, M.M. Sauvage, Cell Reports 43 (2024)."},"_id":"17089","month":"06","title":"Phase locking of hippocampal CA3 neurons to distal CA1 theta oscillations selectively predicts memory performance","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","date_published":"2024-06-25T00:00:00Z","has_accepted_license":"1","date_updated":"2025-09-08T07:42:25Z","year":"2024","oa_version":"Published Version","issue":"6","publisher":"Elsevier","day":"25","type":"journal_article","status":"public","tmp":{"short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"}},{"file_date_updated":"2025-01-31T23:30:03Z","keyword":["Memory","Hippocampus","Consolidation"],"author":[{"id":"47AD3038-F248-11E8-B48F-1D18A9856A87","first_name":"Lars","last_name":"Bollmann","full_name":"Bollmann, Lars"}],"oa":1,"publication_identifier":{"issn":["2663-337X"]},"file":[{"checksum":"12c76297cc27449da80c60d79127770d","content_type":"application/pdf","date_updated":"2025-01-31T23:30:03Z","creator":"lbollman","file_name":"PhD_Thesis_Lars_Bollmann.pdf","date_created":"2024-07-31T18:37:19Z","file_id":"17359","file_size":12920169,"access_level":"open_access","relation":"main_file","embargo":"2025-01-31"},{"file_name":"Latex_source.zip","creator":"lbollman","file_id":"17360","date_created":"2024-07-31T18:38:39Z","file_size":27568807,"content_type":"application/zip","checksum":"19a0265079dec8038830ad6e35c5106e","date_updated":"2025-01-31T23:30:03Z","access_level":"closed","relation":"source_file","embargo_to":"open_access"}],"publication_status":"published","degree_awarded":"PhD","language":[{"iso":"eng"}],"corr_author":"1","date_created":"2024-07-29T15:08:42Z","department":[{"_id":"GradSch"},{"_id":"JoCs"}],"supervisor":[{"orcid":"0000-0002-5193-4036","id":"3FA14672-F248-11E8-B48F-1D18A9856A87","first_name":"Jozsef L","full_name":"Csicsvari, Jozsef L","last_name":"Csicsvari"}],"abstract":[{"text":"Acquiring, retaining, and retrieving information over a wide range of timescales are crucial\r\nfunctions of the brain. The successful processing of memories affects many aspects of our\r\nlives and enables us and many other organisms to operate in a complex environment and\r\nto interact with it. In this context, the hippocampus and functionally connected brain\r\nareas, such as the prefrontal cortex, are central and have been subject to intensive research\r\nin the past decades. Storage of memories is believed to rely on distributed neural activity\r\nwithin these neural circuits. Additionally, neural memory traces of recent experience are\r\nreinstated during periods of rest or sleep. These reactivations are thought to play an\r\noutstanding role in the consolidation of memories and potentially facilitate the transfer of\r\ninformation from the hippocampus to cortical areas for long-term storage and integration\r\ninto existing knowledge.\r\nHowever, there is growing evidence that memory-related neural representations in the\r\nhippocampus are not as stable as initially thought and that they change even in the\r\nabsence of learning. It has been suggested that these changes reflect the accumulation of\r\nexperience, but the influence of interspersed consolidation periods has not been considered.\r\nPrevious studies have analyzed consolidation periods by detecting activity that strongly\r\nresembled neural activity during the acquisition of memory. Besides being often limited\r\nto only non-rapid eye movement (NREM) sleep, the used approaches were not capable of\r\ntracking changes in neural representations over extended temporal periods. More fluid\r\nrepresentations do not only challenge our understanding of how information is stored, but\r\nthey also affect the transfer of information between brain areas during the consolidation\r\nprocess.\r\nFor this thesis, I investigated the evolution of memory-related activity during sleep\r\nperiods expected to be involved in consolidation in the hippocampus and between the\r\nhippocampus and prefrontal cortex. I found that reactivated activity in the hippocampus\r\ngradually transformed during prolonged periods of sleep and inactivity. In the beginning,\r\nneural activity strongly resembled acquisition activity, whereas, with the progression of\r\ntime, it became more similar to the subsequent recall activity. NREM periods drove\r\nthis process, while rapid-eye movement (REM) periods showed a resetting effect. This\r\nreactivation drift was due to firing rate changes of a subset of cells and mirrored the\r\nrepresentational changes from the acquisition to the recall. A stable subset of cells\r\nwithstood the drift and maintained their activity. Therefore, my results indicate that\r\nmemory-related representations undergo spontaneous modifications during consolidation\r\nperiods and that these changes are predictive of representational drift.\r\nFurthermore, I found that the amount of change in the neural activity during subsequent\r\nsleep periods was biased by prior behavioral performance. Observed changes in the\r\nhippocampus and the prefrontal cortex were synchronized and increased after poor\r\nperformance, highlighting a potential role in the exchange of information. Low-variance\r\nvii\r\nperiods with distinct, more stable activity from a subset of cells significantly contributed\r\nto the heightened synchrony between both areas. Hence, interleaved phases of more stable\r\nneural activity could facilitate the information transfer between brain areas.\r\nIn conclusion, my investigations underline the fluidity of memory-related representations\r\nand assign a prominent role to sleep reactivation periods in their evolution. In addition, I\r\nidentified a potential mechanism of stable activity phases that might facilitate the synchronization across hippocampal-prefrontal activity despite ongoing changes. Reconciling\r\nand integrating findings from both spontaneous and behaviorally-related representational\r\nchanges in functionally related brain areas will help to broaden our understanding of how\r\nknowledge is stored, maintained, updated, and transferred between brain areas.","lang":"eng"}],"date_updated":"2026-04-07T13:21:20Z","oa_version":"Published Version","year":"2024","has_accepted_license":"1","date_published":"2024-07-31T00:00:00Z","page":"103","user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","status":"public","day":"31","publisher":"Institute of Science and Technology Austria","type":"dissertation","ddc":["573"],"alternative_title":["ISTA Thesis"],"doi":"10.15479/at:ista:17346","OA_place":"publisher","month":"07","title":"Stability and change in the memory system during rest","_id":"17346","citation":{"ama":"Bollmann L. Stability and change in the memory system during rest. 2024. doi:<a href=\"https://doi.org/10.15479/at:ista:17346\">10.15479/at:ista:17346</a>","apa":"Bollmann, L. (2024). <i>Stability and change in the memory system during rest</i>. Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/at:ista:17346\">https://doi.org/10.15479/at:ista:17346</a>","chicago":"Bollmann, Lars. “Stability and Change in the Memory System during Rest.” Institute of Science and Technology Austria, 2024. <a href=\"https://doi.org/10.15479/at:ista:17346\">https://doi.org/10.15479/at:ista:17346</a>.","ista":"Bollmann L. 2024. Stability and change in the memory system during rest. Institute of Science and Technology Austria.","mla":"Bollmann, Lars. <i>Stability and Change in the Memory System during Rest</i>. Institute of Science and Technology Austria, 2024, doi:<a href=\"https://doi.org/10.15479/at:ista:17346\">10.15479/at:ista:17346</a>.","short":"L. Bollmann, Stability and Change in the Memory System during Rest, Institute of Science and Technology Austria, 2024.","ieee":"L. Bollmann, “Stability and change in the memory system during rest,” Institute of Science and Technology Austria, 2024."},"article_processing_charge":"No"},{"type":"dissertation","day":"19","publisher":"Institute of Science and Technology Austria","status":"public","page":"89","user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","oa_version":"Published Version","year":"2024","date_updated":"2026-04-07T13:21:56Z","date_published":"2024-01-19T00:00:00Z","project":[{"grant_number":"665385","_id":"2564DBCA-B435-11E9-9278-68D0E5697425","name":"International IST Doctoral Program","call_identifier":"H2020"}],"has_accepted_license":"1","citation":{"ieee":"H. S. C. Chiossi, “Adaptive hierarchical representations in the hippocampus,” Institute of Science and Technology Austria, 2024.","short":"H.S.C. Chiossi, Adaptive Hierarchical Representations in the Hippocampus, Institute of Science and Technology Austria, 2024.","mla":"Chiossi, Heloisa S. C. <i>Adaptive Hierarchical Representations in the Hippocampus</i>. Institute of Science and Technology Austria, 2024, doi:<a href=\"https://doi.org/10.15479/at:ista:14821\">10.15479/at:ista:14821</a>.","ista":"Chiossi HSC. 2024. Adaptive hierarchical representations in the hippocampus. Institute of Science and Technology Austria.","chicago":"Chiossi, Heloisa S. C. “Adaptive Hierarchical Representations in the Hippocampus.” Institute of Science and Technology Austria, 2024. <a href=\"https://doi.org/10.15479/at:ista:14821\">https://doi.org/10.15479/at:ista:14821</a>.","apa":"Chiossi, H. S. C. (2024). <i>Adaptive hierarchical representations in the hippocampus</i>. Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/at:ista:14821\">https://doi.org/10.15479/at:ista:14821</a>","ama":"Chiossi HSC. Adaptive hierarchical representations in the hippocampus. 2024. doi:<a href=\"https://doi.org/10.15479/at:ista:14821\">10.15479/at:ista:14821</a>"},"article_processing_charge":"No","title":"Adaptive hierarchical representations in the hippocampus","month":"01","_id":"14821","OA_place":"publisher","doi":"10.15479/at:ista:14821","alternative_title":["ISTA Thesis"],"ddc":["570"],"publication_identifier":{"issn":["2663-337X"]},"oa":1,"file":[{"embargo_to":"open_access","relation":"source_file","access_level":"closed","date_updated":"2025-01-19T23:30:04Z","content_type":"application/vnd.openxmlformats-officedocument.wordprocessingml.document","checksum":"d3fa3de1abd5af5204c13e9d55375615","file_size":8656268,"date_created":"2024-01-19T11:04:05Z","file_id":"14838","creator":"hchiossi","file_name":"PhD_Thesis_190124.docx"},{"relation":"main_file","access_level":"open_access","embargo":"2025-01-19","date_updated":"2025-01-19T23:30:04Z","checksum":"13adc8dcfb5b6b18107f89f0a98fa8bd","content_type":"application/pdf","file_size":6567275,"date_created":"2024-01-19T11:03:59Z","file_id":"14839","file_name":"PhD_Thesis_190124.pdf","creator":"hchiossi"}],"ec_funded":1,"author":[{"full_name":"Chiossi, Heloisa","last_name":"Chiossi","id":"2BBA502C-F248-11E8-B48F-1D18A9856A87","first_name":"Heloisa","orcid":"0009-0004-2973-278X"}],"file_date_updated":"2025-01-19T23:30:04Z","abstract":[{"text":"The hippocampus is central to memory formation, storage and retrieval over many\r\ntimescales. Neurons in this brain area are highly selective to spatial position as well as to many\r\nother variables of the environment. It is believed that the selectivity patterns of hippocampal\r\nneurons reflect the structure of tasks an animal performs. However, especially at timescales\r\nlonger than a few minutes or hours it is not fully known how these representations evolve, nor\r\nhow they map to behaviour in the process. In this thesis, I monitored the evolution of\r\nhippocampal representations in a novel spatial-associative memory task for rats. Reward\r\nlocations were associated with global sensory cues (i.e. context); animals had to remember the\r\nassociations and dig for food in those locations only. I used in vivo electrophysiology to record\r\nthe activity of the hippocampus dorsal CA1 neurons during the learning period of a few days.\r\nI report here a novel and simple method to classify behaviour performance to account\r\nfor individual variability in learning speed and spurious performance unrelated to true task rule\r\nlearning. Using this classification I was then able to investigate neural responses on different\r\nstages of learning matched across animals. On the first day of learning, I observed a fast\r\nformation of single-cell selectivity to task variables which remained stable over days. I also\r\nobserved that reward tuning was not a single process but dependent on task-related cognitive\r\nload. At the population level, a linear decoding approach revealed a hierarchy in the\r\nrepresentation of task variables that changed with learning. In the high-dimensional space of\r\npopulation activity, the representation of contexts was specific to each position in the maze, and\r\ncould thus be better decoded if the position was known. The decoding of position did not improve\r\nwith knowledge of other variables. As learning progressed, the hippocampal code underwent a\r\nreorganisation of high-variance directions in population activity, identified by principal\r\ncomponent analysis. I found that dominant dimensions started carrying increasing amounts of\r\ninformation about task context specifically at those positions where it mattered for task\r\nperformance. When I contrasted this with variables less relevant to task performance (e.g.\r\nmovement direction), I did not observe differences in decoding quality over positions nor a\r\nreduction of dimensionality with learning.\r\nOverall, the largest changes in CA1 neural response with task learning happened in a\r\nmatter of a few trials; over days, changes undetectable in single-cell statistics were responsible\r\nfor re-structuring the hierarchy of neural representations at the population level; these changes\r\nwere task-specific and reflected different stages of learning. This indicates that complex task\r\nlearning may involve different magnitudes of response modulation in CA1, which happen at\r\nspecific time scales linked to behaviour.","lang":"eng"}],"supervisor":[{"full_name":"Csicsvari, Jozsef L","last_name":"Csicsvari","id":"3FA14672-F248-11E8-B48F-1D18A9856A87","first_name":"Jozsef L","orcid":"0000-0002-5193-4036"}],"corr_author":"1","language":[{"iso":"eng"}],"department":[{"_id":"GradSch"},{"_id":"JoCs"}],"date_created":"2024-01-16T14:25:21Z","publication_status":"published","degree_awarded":"PhD"},{"ddc":["570"],"article_type":"original","doi":"10.1016/j.celrep.2023.113015","month":"09","title":"Theta oscillations as a substrate for medial prefrontal-hippocampal assembly interactions","_id":"14314","citation":{"chicago":"Nardin, Michele, Karola Käfer, Federico Stella, and Jozsef L Csicsvari. “Theta Oscillations as a Substrate for Medial Prefrontal-Hippocampal Assembly Interactions.” <i>Cell Reports</i>. Elsevier, 2023. <a href=\"https://doi.org/10.1016/j.celrep.2023.113015\">https://doi.org/10.1016/j.celrep.2023.113015</a>.","ista":"Nardin M, Käfer K, Stella F, Csicsvari JL. 2023. Theta oscillations as a substrate for medial prefrontal-hippocampal assembly interactions. Cell Reports. 42(9), 113015.","ama":"Nardin M, Käfer K, Stella F, Csicsvari JL. Theta oscillations as a substrate for medial prefrontal-hippocampal assembly interactions. <i>Cell Reports</i>. 2023;42(9). doi:<a href=\"https://doi.org/10.1016/j.celrep.2023.113015\">10.1016/j.celrep.2023.113015</a>","apa":"Nardin, M., Käfer, K., Stella, F., &#38; Csicsvari, J. L. (2023). Theta oscillations as a substrate for medial prefrontal-hippocampal assembly interactions. <i>Cell Reports</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.celrep.2023.113015\">https://doi.org/10.1016/j.celrep.2023.113015</a>","ieee":"M. Nardin, K. Käfer, F. Stella, and J. L. Csicsvari, “Theta oscillations as a substrate for medial prefrontal-hippocampal assembly interactions,” <i>Cell Reports</i>, vol. 42, no. 9. Elsevier, 2023.","short":"M. Nardin, K. Käfer, F. Stella, J.L. Csicsvari, Cell Reports 42 (2023).","mla":"Nardin, Michele, et al. “Theta Oscillations as a Substrate for Medial Prefrontal-Hippocampal Assembly Interactions.” <i>Cell Reports</i>, vol. 42, no. 9, 113015, Elsevier, 2023, doi:<a href=\"https://doi.org/10.1016/j.celrep.2023.113015\">10.1016/j.celrep.2023.113015</a>."},"article_processing_charge":"Yes","date_updated":"2025-09-09T12:53:32Z","oa_version":"Published Version","year":"2023","has_accepted_license":"1","date_published":"2023-09-26T00:00:00Z","project":[{"name":"inter-and intracellular signalling in schizophrenia","call_identifier":"FP7","grant_number":"607616","_id":"257BBB4C-B435-11E9-9278-68D0E5697425"}],"user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","tmp":{"short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"status":"public","issue":"9","type":"journal_article","day":"26","publisher":"Elsevier","publication_status":"published","corr_author":"1","language":[{"iso":"eng"}],"date_created":"2023-09-10T22:01:11Z","department":[{"_id":"JoCs"}],"external_id":{"isi":["001068779200001"],"pmid":["37632747"]},"quality_controlled":"1","volume":42,"article_number":"113015","abstract":[{"text":"The execution of cognitive functions requires coordinated circuit activity across different brain areas that involves the associated firing of neuronal assemblies. Here, we tested the circuit mechanism behind assembly interactions between the hippocampus and the medial prefrontal cortex (mPFC) of adult rats by recording neuronal populations during a rule-switching task. We identified functionally coupled CA1-mPFC cells that synchronized their activity beyond that expected from common spatial coding or oscillatory firing. When such cell pairs fired together, the mPFC cell strongly phase locked to CA1 theta oscillations and maintained consistent theta firing phases, independent of the theta timing of their CA1 counterpart. These functionally connected CA1-mPFC cells formed interconnected assemblies. While firing together with their CA1 assembly partners, mPFC cells fired along specific theta sequences. Our results suggest that upregulated theta oscillatory firing of mPFC cells can signal transient interactions with specific CA1 assemblies, thus enabling distributed computations.","lang":"eng"}],"intvolume":"        42","isi":1,"ec_funded":1,"file_date_updated":"2023-09-15T07:12:46Z","scopus_import":"1","publication":"Cell Reports","author":[{"orcid":"0000-0001-8849-6570","last_name":"Nardin","full_name":"Nardin, Michele","first_name":"Michele","id":"30BD0376-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Käfer, Karola","last_name":"Käfer","first_name":"Karola","id":"2DAA49AA-F248-11E8-B48F-1D18A9856A87"},{"orcid":"0000-0001-9439-3148","full_name":"Stella, Federico","last_name":"Stella","first_name":"Federico","id":"39AF1E74-F248-11E8-B48F-1D18A9856A87"},{"orcid":"0000-0002-5193-4036","first_name":"Jozsef L","id":"3FA14672-F248-11E8-B48F-1D18A9856A87","last_name":"Csicsvari","full_name":"Csicsvari, Jozsef L"}],"publication_identifier":{"eissn":["2211-1247"]},"oa":1,"pmid":1,"acknowledgement":"We thank A. Cumpelik, H. Chiossi, and L. Bollman for comments on an earlier version of this manuscript. This work was funded by EU-FP7 MC-ITN IN-SENS (grant 607616).","file":[{"file_name":"2023_CellPress_Nardin.pdf","creator":"dernst","file_id":"14337","date_created":"2023-09-15T07:12:46Z","file_size":4879455,"content_type":"application/pdf","checksum":"ca77a304fb813c292550b8604b0fb41d","date_updated":"2023-09-15T07:12:46Z","success":1,"access_level":"open_access","relation":"main_file"}]},{"ddc":["570"],"article_type":"original","doi":"10.1371/journal.pcbi.1010983","_id":"12862","month":"04","title":"Uncovering the organization of neural circuits with Generalized Phase Locking Analysis","article_processing_charge":"No","related_material":{"link":[{"url":"https://github.com/shervinsafavi/gpla.git","relation":"software"}]},"citation":{"ista":"Safavi S, Panagiotaropoulos TI, Kapoor V, Ramirez Villegas JF, Logothetis NK, Besserve M. 2023. Uncovering the organization of neural circuits with Generalized Phase Locking Analysis. PLoS Computational Biology. 19(4), e1010983.","chicago":"Safavi, Shervin, Theofanis I. Panagiotaropoulos, Vishal Kapoor, Juan F Ramirez Villegas, Nikos K. Logothetis, and Michel Besserve. “Uncovering the Organization of Neural Circuits with Generalized Phase Locking Analysis.” <i>PLoS Computational Biology</i>. Public Library of Science, 2023. <a href=\"https://doi.org/10.1371/journal.pcbi.1010983\">https://doi.org/10.1371/journal.pcbi.1010983</a>.","apa":"Safavi, S., Panagiotaropoulos, T. I., Kapoor, V., Ramirez Villegas, J. F., Logothetis, N. K., &#38; Besserve, M. (2023). Uncovering the organization of neural circuits with Generalized Phase Locking Analysis. <i>PLoS Computational Biology</i>. Public Library of Science. <a href=\"https://doi.org/10.1371/journal.pcbi.1010983\">https://doi.org/10.1371/journal.pcbi.1010983</a>","ama":"Safavi S, Panagiotaropoulos TI, Kapoor V, Ramirez Villegas JF, Logothetis NK, Besserve M. Uncovering the organization of neural circuits with Generalized Phase Locking Analysis. <i>PLoS Computational Biology</i>. 2023;19(4). doi:<a href=\"https://doi.org/10.1371/journal.pcbi.1010983\">10.1371/journal.pcbi.1010983</a>","ieee":"S. Safavi, T. I. Panagiotaropoulos, V. Kapoor, J. F. Ramirez Villegas, N. K. Logothetis, and M. Besserve, “Uncovering the organization of neural circuits with Generalized Phase Locking Analysis,” <i>PLoS Computational Biology</i>, vol. 19, no. 4. Public Library of Science, 2023.","short":"S. Safavi, T.I. Panagiotaropoulos, V. Kapoor, J.F. Ramirez Villegas, N.K. Logothetis, M. Besserve, PLoS Computational Biology 19 (2023).","mla":"Safavi, Shervin, et al. “Uncovering the Organization of Neural Circuits with Generalized Phase Locking Analysis.” <i>PLoS Computational Biology</i>, vol. 19, no. 4, e1010983, Public Library of Science, 2023, doi:<a href=\"https://doi.org/10.1371/journal.pcbi.1010983\">10.1371/journal.pcbi.1010983</a>."},"date_published":"2023-04-01T00:00:00Z","has_accepted_license":"1","date_updated":"2025-04-23T08:54:49Z","oa_version":"Published Version","year":"2023","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","status":"public","tmp":{"short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"issue":"4","day":"01","type":"journal_article","publisher":"Public Library of Science","publication_status":"published","date_created":"2023-04-23T22:01:03Z","department":[{"_id":"JoCs"}],"external_id":{"isi":["000962668700002"],"pmid":["37011110"]},"language":[{"iso":"eng"}],"volume":19,"quality_controlled":"1","article_number":"e1010983","abstract":[{"text":"Despite the considerable progress of in vivo neural recording techniques, inferring the biophysical mechanisms underlying large scale coordination of brain activity from neural data remains challenging. One obstacle is the difficulty to link high dimensional functional connectivity measures to mechanistic models of network activity. We address this issue by investigating spike-field coupling (SFC) measurements, which quantify the synchronization between, on the one hand, the action potentials produced by neurons, and on the other hand mesoscopic “field” signals, reflecting subthreshold activities at possibly multiple recording sites. As the number of recording sites gets large, the amount of pairwise SFC measurements becomes overwhelmingly challenging to interpret. We develop Generalized Phase Locking Analysis (GPLA) as an interpretable dimensionality reduction of this multivariate SFC. GPLA describes the dominant coupling between field activity and neural ensembles across space and frequencies. We show that GPLA features are biophysically interpretable when used in conjunction with appropriate network models, such that we can identify the influence of underlying circuit properties on these features. We demonstrate the statistical benefits and interpretability of this approach in various computational models and Utah array recordings. The results suggest that GPLA, used jointly with biophysical modeling, can help uncover the contribution of recurrent microcircuits to the spatio-temporal dynamics observed in multi-channel experimental recordings.","lang":"eng"}],"author":[{"last_name":"Safavi","full_name":"Safavi, Shervin","first_name":"Shervin"},{"first_name":"Theofanis I.","last_name":"Panagiotaropoulos","full_name":"Panagiotaropoulos, Theofanis I."},{"full_name":"Kapoor, Vishal","last_name":"Kapoor","first_name":"Vishal"},{"full_name":"Ramirez Villegas, Juan F","last_name":"Ramirez Villegas","id":"44B06F76-F248-11E8-B48F-1D18A9856A87","first_name":"Juan F"},{"full_name":"Logothetis, Nikos K.","last_name":"Logothetis","first_name":"Nikos K."},{"first_name":"Michel","full_name":"Besserve, Michel","last_name":"Besserve"}],"file_date_updated":"2023-04-25T08:59:18Z","scopus_import":"1","publication":"PLoS Computational Biology","isi":1,"intvolume":"        19","pmid":1,"acknowledgement":"We thank Britni Crocker for help with preprocessing of the data and spike sorting; Joachim Werner and Michael Schnabel for their excellent IT support; Andreas Tolias for help with the initial implantation’s of the Utah arrays.\r\nAll authors were supported by the Max Planck Society. M.B. was supported by the German\r\nFederal Ministry of Education and Research (BMBF) through the funding scheme received by\r\nthe Tübingen AI Center, FKZ: 01IS18039B. N.K.L. and V.K. acknowledge the support from the\r\nShanghai Municipal Science and Technology Major Project (Grant No. 2019SHZDZX02). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. ","file":[{"file_size":4737671,"file_name":"2023_PLoSCompBio_Safavi.pdf","creator":"dernst","file_id":"12867","date_created":"2023-04-25T08:59:18Z","date_updated":"2023-04-25T08:59:18Z","content_type":"application/pdf","checksum":"edeb9d09f3e41ba7c0251308b9e372e7","success":1,"access_level":"open_access","relation":"main_file"}],"publication_identifier":{"eissn":["1553-7358"]},"oa":1},{"article_processing_charge":"Yes (in subscription journal)","related_material":{"record":[{"id":"10077","relation":"earlier_version","status":"public"}]},"citation":{"ista":"Nardin M, Csicsvari JL, Tkačik G, Savin C. 2023. The structure of hippocampal CA1 interactions optimizes spatial coding across experience. The Journal of Neuroscience. 43(48), 8140–8156.","chicago":"Nardin, Michele, Jozsef L Csicsvari, Gašper Tkačik, and Cristina Savin. “The Structure of Hippocampal CA1 Interactions Optimizes Spatial Coding across Experience.” <i>The Journal of Neuroscience</i>. Society for Neuroscience, 2023. <a href=\"https://doi.org/10.1523/JNEUROSCI.0194-23.2023\">https://doi.org/10.1523/JNEUROSCI.0194-23.2023</a>.","apa":"Nardin, M., Csicsvari, J. L., Tkačik, G., &#38; Savin, C. (2023). The structure of hippocampal CA1 interactions optimizes spatial coding across experience. <i>The Journal of Neuroscience</i>. Society for Neuroscience. <a href=\"https://doi.org/10.1523/JNEUROSCI.0194-23.2023\">https://doi.org/10.1523/JNEUROSCI.0194-23.2023</a>","ama":"Nardin M, Csicsvari JL, Tkačik G, Savin C. The structure of hippocampal CA1 interactions optimizes spatial coding across experience. <i>The Journal of Neuroscience</i>. 2023;43(48):8140-8156. doi:<a href=\"https://doi.org/10.1523/JNEUROSCI.0194-23.2023\">10.1523/JNEUROSCI.0194-23.2023</a>","ieee":"M. Nardin, J. L. Csicsvari, G. Tkačik, and C. Savin, “The structure of hippocampal CA1 interactions optimizes spatial coding across experience,” <i>The Journal of Neuroscience</i>, vol. 43, no. 48. Society for Neuroscience, pp. 8140–8156, 2023.","short":"M. Nardin, J.L. Csicsvari, G. Tkačik, C. Savin, The Journal of Neuroscience 43 (2023) 8140–8156.","mla":"Nardin, Michele, et al. “The Structure of Hippocampal CA1 Interactions Optimizes Spatial Coding across Experience.” <i>The Journal of Neuroscience</i>, vol. 43, no. 48, Society for Neuroscience, 2023, pp. 8140–56, doi:<a href=\"https://doi.org/10.1523/JNEUROSCI.0194-23.2023\">10.1523/JNEUROSCI.0194-23.2023</a>."},"_id":"14656","month":"11","title":"The structure of hippocampal CA1 interactions optimizes spatial coding across experience","article_type":"original","doi":"10.1523/JNEUROSCI.0194-23.2023","ddc":["570"],"issue":"48","publisher":"Society for Neuroscience","type":"journal_article","day":"29","status":"public","tmp":{"short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","page":"8140-8156","date_published":"2023-11-29T00:00:00Z","has_accepted_license":"1","project":[{"call_identifier":"FP7","name":"Memory-related information processing in neuronal circuits of the hippocampus and entorhinal cortex","grant_number":"281511","_id":"257A4776-B435-11E9-9278-68D0E5697425"},{"grant_number":"P34015","_id":"626c45b5-2b32-11ec-9570-e509828c1ba6","name":"Efficient coding with biophysical realism"},{"_id":"2564DBCA-B435-11E9-9278-68D0E5697425","grant_number":"665385","call_identifier":"H2020","name":"International IST Doctoral Program"}],"date_updated":"2025-09-09T13:37:51Z","oa_version":"Published Version","year":"2023","abstract":[{"text":"Although much is known about how single neurons in the hippocampus represent an animal's position, how circuit interactions contribute to spatial coding is less well understood. Using a novel statistical estimator and theoretical modeling, both developed in the framework of maximum entropy models, we reveal highly structured CA1 cell-cell interactions in male rats during open field exploration. The statistics of these interactions depend on whether the animal is in a familiar or novel environment. In both conditions the circuit interactions optimize the encoding of spatial information, but for regimes that differ in the informativeness of their spatial inputs. This structure facilitates linear decodability, making the information easy to read out by downstream circuits. Overall, our findings suggest that the efficient coding hypothesis is not only applicable to individual neuron properties in the sensory periphery, but also to neural interactions in the central brain.","lang":"eng"}],"volume":43,"quality_controlled":"1","date_created":"2023-12-10T23:00:58Z","department":[{"_id":"JoCs"},{"_id":"GaTk"}],"external_id":{"isi":["001148071000005"],"pmid":["37758476"]},"language":[{"iso":"eng"}],"publication_status":"published","pmid":1,"acknowledgement":"M.N. was supported by the European Union Horizon 2020 Grant 665385. J.C. was supported by the European Research Council Consolidator Grant 281511. G.T. was supported by the Austrian Science Fund (FWF) Grant P34015. C.S. was supported by an Institute of Science and Technology fellow award and by the National Science Foundation (NSF) Award No. 1922658. We thank Peter Baracskay, Karola Kaefer, and Hugo Malagon-Vina for the acquisition of the data. We also thank Federico Stella, Wiktor Młynarski, Dori Derdikman, Colin Bredenberg, Roman Huszar, Heloisa Chiossi, Lorenzo Posani, and Mohamady El-Gaby for comments on an earlier version of the manuscript.","file":[{"embargo":"2024-06-01","relation":"main_file","access_level":"open_access","file_size":2280632,"file_id":"14674","date_created":"2023-12-11T11:30:37Z","creator":"dernst","file_name":"2023_JourNeuroscience_Nardin.pdf","date_updated":"2024-06-02T22:30:03Z","checksum":"e2503c8f84be1050e28f64320f1d5bd2","content_type":"application/pdf"}],"oa":1,"publication_identifier":{"eissn":["1529-2401"]},"file_date_updated":"2024-06-02T22:30:03Z","author":[{"orcid":"0000-0001-8849-6570","id":"30BD0376-F248-11E8-B48F-1D18A9856A87","first_name":"Michele","full_name":"Nardin, Michele","last_name":"Nardin"},{"full_name":"Csicsvari, Jozsef L","last_name":"Csicsvari","first_name":"Jozsef L","id":"3FA14672-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-5193-4036"},{"orcid":"0000-0002-6699-1455","first_name":"Gašper","id":"3D494DCA-F248-11E8-B48F-1D18A9856A87","last_name":"Tkačik","full_name":"Tkačik, Gašper"},{"first_name":"Cristina","id":"3933349E-F248-11E8-B48F-1D18A9856A87","full_name":"Savin, Cristina","last_name":"Savin"}],"publication":"The Journal of Neuroscience","scopus_import":"1","intvolume":"        43","isi":1,"ec_funded":1},{"tmp":{"short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"status":"public","day":"16","type":"journal_article","publisher":"Springer Nature","year":"2022","oa_version":"Published Version","date_updated":"2025-06-12T06:10:44Z","project":[{"_id":"25B7EB9E-B435-11E9-9278-68D0E5697425","grant_number":"692692","call_identifier":"H2020","name":"Biophysics and circuit function of a giant cortical glutamatergic synapse"},{"grant_number":"I03600","_id":"265CB4D0-B435-11E9-9278-68D0E5697425","name":"Optical control of synaptic function via adhesion molecules","call_identifier":"FWF"},{"_id":"25C5A090-B435-11E9-9278-68D0E5697425","grant_number":"Z00312","name":"Synaptic communication in neuronal microcircuits","call_identifier":"FWF"}],"has_accepted_license":"1","date_published":"2022-08-16T00:00:00Z","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","title":"A direct excitatory projection from entorhinal layer 6b neurons to the hippocampus contributes to spatial coding and memory","month":"08","_id":"11951","citation":{"ieee":"Y. Ben Simon, K. Käfer, P. Velicky, J. L. Csicsvari, J. G. Danzl, and P. M. Jonas, “A direct excitatory projection from entorhinal layer 6b neurons to the hippocampus contributes to spatial coding and memory,” <i>Nature Communications</i>, vol. 13. Springer Nature, 2022.","mla":"Ben Simon, Yoav, et al. “A Direct Excitatory Projection from Entorhinal Layer 6b Neurons to the Hippocampus Contributes to Spatial Coding and Memory.” <i>Nature Communications</i>, vol. 13, 4826, Springer Nature, 2022, doi:<a href=\"https://doi.org/10.1038/s41467-022-32559-8\">10.1038/s41467-022-32559-8</a>.","short":"Y. Ben Simon, K. Käfer, P. Velicky, J.L. Csicsvari, J.G. Danzl, P.M. Jonas, Nature Communications 13 (2022).","ista":"Ben Simon Y, Käfer K, Velicky P, Csicsvari JL, Danzl JG, Jonas PM. 2022. A direct excitatory projection from entorhinal layer 6b neurons to the hippocampus contributes to spatial coding and memory. Nature Communications. 13, 4826.","chicago":"Ben Simon, Yoav, Karola Käfer, Philipp Velicky, Jozsef L Csicsvari, Johann G Danzl, and Peter M Jonas. “A Direct Excitatory Projection from Entorhinal Layer 6b Neurons to the Hippocampus Contributes to Spatial Coding and Memory.” <i>Nature Communications</i>. Springer Nature, 2022. <a href=\"https://doi.org/10.1038/s41467-022-32559-8\">https://doi.org/10.1038/s41467-022-32559-8</a>.","apa":"Ben Simon, Y., Käfer, K., Velicky, P., Csicsvari, J. L., Danzl, J. G., &#38; Jonas, P. M. (2022). A direct excitatory projection from entorhinal layer 6b neurons to the hippocampus contributes to spatial coding and memory. <i>Nature Communications</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s41467-022-32559-8\">https://doi.org/10.1038/s41467-022-32559-8</a>","ama":"Ben Simon Y, Käfer K, Velicky P, Csicsvari JL, Danzl JG, Jonas PM. A direct excitatory projection from entorhinal layer 6b neurons to the hippocampus contributes to spatial coding and memory. <i>Nature Communications</i>. 2022;13. doi:<a href=\"https://doi.org/10.1038/s41467-022-32559-8\">10.1038/s41467-022-32559-8</a>"},"article_processing_charge":"No","ddc":["570"],"doi":"10.1038/s41467-022-32559-8","article_type":"original","oa":1,"publication_identifier":{"issn":["2041-1723"]},"acknowledgement":"We thank F. Marr and A. Schlögl for technical assistance, E. Kralli-Beller for manuscript editing, as well as C. Sommer and the Imaging and Optics Facility of the Institute of Science and Technology Austria (ISTA) for image analysis scripts and microscopy support. We extend our gratitude to J. Wallenschus and D. Rangel Guerrero for technical assistance acquiring single-unit data and I. Gridchyn for help with single-unit clustering. Finally, we also thank B. Suter for discussions, A. Saunders, M. Jösch, and H. Monyer for critically reading earlier versions of the manuscript, C. Petersen for sharing clearing protocols, and the Scientific Service Units of ISTA for efficient support. This project was funded by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (ERC advanced grant No 692692 to P.J.) and the Fond zur Förderung der Wissenschaftlichen Forschung (Z 312-B27, Wittgenstein award for P.J. and I3600-B27 for J.G.D. and P.V.).","file":[{"date_updated":"2022-08-26T11:51:40Z","checksum":"405936d9e4d33625d80c093c9713a91f","content_type":"application/pdf","file_size":5910357,"creator":"dernst","file_name":"2022_NatureCommunications_BenSimon.pdf","file_id":"11990","date_created":"2022-08-26T11:51:40Z","access_level":"open_access","relation":"main_file","success":1}],"pmid":1,"ec_funded":1,"isi":1,"intvolume":"        13","author":[{"full_name":"Ben Simon, Yoav","last_name":"Ben Simon","first_name":"Yoav","id":"43DF3136-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Karola","id":"2DAA49AA-F248-11E8-B48F-1D18A9856A87","full_name":"Käfer, Karola","last_name":"Käfer"},{"last_name":"Velicky","full_name":"Velicky, Philipp","first_name":"Philipp","id":"39BDC62C-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-2340-7431"},{"first_name":"Jozsef L","id":"3FA14672-F248-11E8-B48F-1D18A9856A87","full_name":"Csicsvari, Jozsef L","last_name":"Csicsvari","orcid":"0000-0002-5193-4036"},{"orcid":"0000-0001-8559-3973","full_name":"Danzl, Johann G","last_name":"Danzl","id":"42EFD3B6-F248-11E8-B48F-1D18A9856A87","first_name":"Johann G"},{"full_name":"Jonas, Peter M","last_name":"Jonas","id":"353C1B58-F248-11E8-B48F-1D18A9856A87","first_name":"Peter M","orcid":"0000-0001-5001-4804"}],"keyword":["General Physics and Astronomy","General Biochemistry","Genetics and Molecular Biology","General Chemistry","Multidisciplinary"],"file_date_updated":"2022-08-26T11:51:40Z","scopus_import":"1","publication":"Nature Communications","quality_controlled":"1","volume":13,"acknowledged_ssus":[{"_id":"Bio"},{"_id":"SSU"}],"abstract":[{"text":"The mammalian hippocampal formation (HF) plays a key role in several higher brain functions, such as spatial coding, learning and memory. Its simple circuit architecture is often viewed as a trisynaptic loop, processing input originating from the superficial layers of the entorhinal cortex (EC) and sending it back to its deeper layers. Here, we show that excitatory neurons in layer 6b of the mouse EC project to all sub-regions comprising the HF and receive input from the CA1, thalamus and claustrum. Furthermore, their output is characterized by unique slow-decaying excitatory postsynaptic currents capable of driving plateau-like potentials in their postsynaptic targets. Optogenetic inhibition of the EC-6b pathway affects spatial coding in CA1 pyramidal neurons, while cell ablation impairs not only acquisition of new spatial memories, but also degradation of previously acquired ones. Our results provide evidence of a functional role for cortical layer 6b neurons in the adult brain.","lang":"eng"}],"article_number":"4826","publication_status":"published","corr_author":"1","language":[{"iso":"eng"}],"external_id":{"pmid":["35974109"],"isi":["000841396400008"]},"department":[{"_id":"JoCs"},{"_id":"PeJo"},{"_id":"JoDa"}],"date_created":"2022-08-24T08:25:50Z"},{"pmid":1,"file":[{"access_level":"open_access","relation":"main_file","success":1,"checksum":"457aa00e1800847abb340853058531de","content_type":"application/pdf","date_updated":"2023-01-24T10:10:43Z","file_name":"2022_FrontiersNeuralCircuits_Gambino.pdf","creator":"dernst","file_id":"12357","date_created":"2023-01-24T10:10:43Z","file_size":110031}],"acknowledgement":"This work was supported by a DFG grant ZA990/1 to DZ. This work was supported by the MSCA EU proposal 841301 - DREAM, European Commission; Horizon 2020 - Research and Innovation Framework Programme to JFRV.","oa":1,"publication_identifier":{"issn":["1662-5110"]},"scopus_import":"1","keyword":["Cellular and Molecular Neuroscience","Cognitive Neuroscience","Sensory Systems","Neuroscience (miscellaneous)"],"file_date_updated":"2023-01-24T10:10:43Z","author":[{"first_name":"Giuditta","last_name":"Gambino","full_name":"Gambino, Giuditta"},{"first_name":"Rebecca","last_name":"Bhik-Ghanie","full_name":"Bhik-Ghanie, Rebecca"},{"last_name":"Giglia","full_name":"Giglia, Giuseppe","first_name":"Giuseppe"},{"last_name":"Puig","full_name":"Puig, M. Victoria","first_name":"M. Victoria"},{"last_name":"Ramirez Villegas","full_name":"Ramirez Villegas, Juan F","id":"44B06F76-F248-11E8-B48F-1D18A9856A87","first_name":"Juan F"},{"last_name":"Zaldivar","full_name":"Zaldivar, Daniel","first_name":"Daniel"}],"publication":"Frontiers in Neural Circuits","isi":1,"intvolume":"        16","ec_funded":1,"article_number":"1028154","abstract":[{"text":"Editorial on the Research Topic","lang":"eng"}],"volume":16,"quality_controlled":"1","date_created":"2023-01-12T12:07:39Z","department":[{"_id":"JoCs"}],"external_id":{"pmid":["36405671"],"isi":["000886671400001"]},"language":[{"iso":"eng"}],"publication_status":"published","day":"26","type":"journal_article","publisher":"Frontiers Media","status":"public","tmp":{"short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","has_accepted_license":"1","project":[{"grant_number":"841301","_id":"26BAE2E4-B435-11E9-9278-68D0E5697425","name":"The Brainstem-Hippocampus Network Uncovered: Dynamics, Reactivation and Memory Consolidation","call_identifier":"H2020"}],"date_published":"2022-10-26T00:00:00Z","date_updated":"2025-06-12T06:19:09Z","oa_version":"Published Version","year":"2022","article_processing_charge":"No","citation":{"short":"G. Gambino, R. Bhik-Ghanie, G. Giglia, M.V. Puig, J.F. Ramirez Villegas, D. Zaldivar, Frontiers in Neural Circuits 16 (2022).","mla":"Gambino, Giuditta, et al. “Editorial: Neuromodulatory Ascending Systems: Their Influence at the Microscopic and Macroscopic Levels.” <i>Frontiers in Neural Circuits</i>, vol. 16, 1028154, Frontiers Media, 2022, doi:<a href=\"https://doi.org/10.3389/fncir.2022.1028154\">10.3389/fncir.2022.1028154</a>.","ieee":"G. Gambino, R. Bhik-Ghanie, G. Giglia, M. V. Puig, J. F. Ramirez Villegas, and D. Zaldivar, “Editorial: Neuromodulatory ascending systems: Their influence at the microscopic and macroscopic levels,” <i>Frontiers in Neural Circuits</i>, vol. 16. Frontiers Media, 2022.","apa":"Gambino, G., Bhik-Ghanie, R., Giglia, G., Puig, M. V., Ramirez Villegas, J. F., &#38; Zaldivar, D. (2022). Editorial: Neuromodulatory ascending systems: Their influence at the microscopic and macroscopic levels. <i>Frontiers in Neural Circuits</i>. Frontiers Media. <a href=\"https://doi.org/10.3389/fncir.2022.1028154\">https://doi.org/10.3389/fncir.2022.1028154</a>","ama":"Gambino G, Bhik-Ghanie R, Giglia G, Puig MV, Ramirez Villegas JF, Zaldivar D. Editorial: Neuromodulatory ascending systems: Their influence at the microscopic and macroscopic levels. <i>Frontiers in Neural Circuits</i>. 2022;16. doi:<a href=\"https://doi.org/10.3389/fncir.2022.1028154\">10.3389/fncir.2022.1028154</a>","ista":"Gambino G, Bhik-Ghanie R, Giglia G, Puig MV, Ramirez Villegas JF, Zaldivar D. 2022. Editorial: Neuromodulatory ascending systems: Their influence at the microscopic and macroscopic levels. Frontiers in Neural Circuits. 16, 1028154.","chicago":"Gambino, Giuditta, Rebecca Bhik-Ghanie, Giuseppe Giglia, M. Victoria Puig, Juan F Ramirez Villegas, and Daniel Zaldivar. “Editorial: Neuromodulatory Ascending Systems: Their Influence at the Microscopic and Macroscopic Levels.” <i>Frontiers in Neural Circuits</i>. Frontiers Media, 2022. <a href=\"https://doi.org/10.3389/fncir.2022.1028154\">https://doi.org/10.3389/fncir.2022.1028154</a>."},"_id":"12149","month":"10","title":"Editorial: Neuromodulatory ascending systems: Their influence at the microscopic and macroscopic levels","article_type":"letter_note","doi":"10.3389/fncir.2022.1028154","ddc":["570"]},{"publication":"PLoS Biology","scopus_import":"1","author":[{"id":"47F080FE-F248-11E8-B48F-1D18A9856A87","first_name":"Vera","last_name":"Belyaeva","full_name":"Belyaeva, Vera"},{"full_name":"Wachner, Stephanie","last_name":"Wachner","id":"2A95E7B0-F248-11E8-B48F-1D18A9856A87","first_name":"Stephanie"},{"full_name":"György, Attila","last_name":"György","first_name":"Attila","id":"3BCEDBE0-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-1819-198X"},{"orcid":"0000-0001-6981-6938","full_name":"Emtenani, Shamsi","last_name":"Emtenani","first_name":"Shamsi","id":"49D32318-F248-11E8-B48F-1D18A9856A87"},{"id":"4B60654C-F248-11E8-B48F-1D18A9856A87","first_name":"Igor","last_name":"Gridchyn","full_name":"Gridchyn, Igor","orcid":"0000-0002-1807-1929"},{"orcid":"0000-0003-1522-3162","first_name":"Maria","id":"3425EC26-F248-11E8-B48F-1D18A9856A87","last_name":"Akhmanova","full_name":"Akhmanova, Maria"},{"first_name":"M","full_name":"Linder, M","last_name":"Linder"},{"full_name":"Roblek, Marko","last_name":"Roblek","id":"3047D808-F248-11E8-B48F-1D18A9856A87","first_name":"Marko","orcid":"0000-0001-9588-1389"},{"first_name":"M","last_name":"Sibilia","full_name":"Sibilia, M"},{"orcid":"0000-0001-8323-8353","full_name":"Siekhaus, Daria E","last_name":"Siekhaus","id":"3D224B9E-F248-11E8-B48F-1D18A9856A87","first_name":"Daria E"}],"file_date_updated":"2022-01-12T13:50:04Z","isi":1,"intvolume":"        20","ec_funded":1,"pmid":1,"acknowledgement":"We thank the following for their contributions: Plasmids were supplied by the Drosophila Genomics Resource Center (NIH 2P40OD010949-10A1); fly stocks were provided by K. Brueckner, B. Stramer, M. Uhlirova, O. Schuldiner, the Bloomington Drosophila Stock Center (NIH P40OD018537) and the Vienna Drosophila Resource Center, FlyBase for essential genomic information, and the BDGP in situ database for data. For antibodies, we thank the Developmental Studies Hybridoma Bank, which was created by the Eunice Kennedy Shriver National Institute of Child Health and Human Development of the NIH and is maintained at the University of Iowa, as well as J. Zeitlinger for her generous gift of Dfos antibody. We thank the Vienna BioCenter Core Facilities for RNA sequencing and analysis and the Life Scientific Service Units at IST Austria for technical support and assistance with microscopy and FACS analysis. We thank C. P. Heisenberg, P. Martin, M. Sixt, and Siekhaus group members for discussions and T. Hurd, A. Ratheesh, and P. Rangan for comments on the manuscript.","file":[{"file_size":5426932,"file_id":"10615","date_created":"2022-01-12T13:50:04Z","creator":"cchlebak","file_name":"2022_PLOSBio_Belyaeva.pdf","date_updated":"2022-01-12T13:50:04Z","checksum":"f454212a5522a7818ba4b2892315c478","content_type":"application/pdf","success":1,"relation":"main_file","access_level":"open_access"}],"oa":1,"publication_identifier":{"issn":["1544-9173"],"eissn":["1545-7885"]},"publication_status":"published","date_created":"2022-01-12T10:18:17Z","external_id":{"isi":["000971223700001"],"pmid":["34990456"]},"department":[{"_id":"DaSi"},{"_id":"JoCs"}],"corr_author":"1","language":[{"iso":"eng"}],"volume":20,"quality_controlled":"1","abstract":[{"text":"The infiltration of immune cells into tissues underlies the establishment of tissue-resident macrophages and responses to infections and tumors. Yet the mechanisms immune cells utilize to negotiate tissue barriers in living organisms are not well understood, and a role for cortical actin has not been examined. Here, we find that the tissue invasion of Drosophila macrophages, also known as plasmatocytes or hemocytes, utilizes enhanced cortical F-actin levels stimulated by the Drosophila member of the fos proto oncogene transcription factor family (Dfos, Kayak). RNA sequencing analysis and live imaging show that Dfos enhances F-actin levels around the entire macrophage surface by increasing mRNA levels of the membrane spanning molecular scaffold tetraspanin TM4SF, and the actin cross-linking filamin Cheerio, which are themselves required for invasion. Both the filamin and the tetraspanin enhance the cortical activity of Rho1 and the formin Diaphanous and thus the assembly of cortical actin, which is a critical function since expressing a dominant active form of Diaphanous can rescue the Dfos macrophage invasion defect. In vivo imaging shows that Dfos enhances the efficiency of the initial phases of macrophage tissue entry. Genetic evidence argues that this Dfos-induced program in macrophages counteracts the constraint produced by the tension of surrounding tissues and buffers the properties of the macrophage nucleus from affecting tissue entry. We thus identify strengthening the cortical actin cytoskeleton through Dfos as a key process allowing efficient forward movement of an immune cell into surrounding tissues. ","lang":"eng"}],"acknowledged_ssus":[{"_id":"LifeSc"}],"date_published":"2022-01-06T00:00:00Z","project":[{"_id":"253B6E48-B435-11E9-9278-68D0E5697425","grant_number":"P29638","name":"The role of Drosophila TNF alpha in immune cell invasion","call_identifier":"FWF"},{"name":"Implications of a TGFβ/Dpp-activated subpopulation for Drosophila macrophage migration","_id":"26199CA4-B435-11E9-9278-68D0E5697425","grant_number":"24800"},{"grant_number":"334077","_id":"2536F660-B435-11E9-9278-68D0E5697425","call_identifier":"FP7","name":"Investigating the role of transporters in invasive migration through junctions"}],"has_accepted_license":"1","date_updated":"2026-04-28T22:30:33Z","year":"2022","oa_version":"Published Version","user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","page":"e3001494","status":"public","tmp":{"short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"issue":"1","day":"06","publisher":"Public Library of Science","type":"journal_article","ddc":["570"],"article_type":"original","doi":"10.1371/journal.pbio.3001494","_id":"10614","month":"01","title":"Fos regulates macrophage infiltration against surrounding tissue resistance by a cortical actin-based mechanism in Drosophila","article_processing_charge":"No","related_material":{"link":[{"relation":"earlier_version","url":"https://www.biorxiv.org/content/10.1101/2020.09.18.301481"},{"relation":"press_release","url":"https://ista.ac.at/en/news/resisting-the-pressure/","description":"News on the ISTA Website"}],"record":[{"id":"8557","status":"public","relation":"earlier_version"},{"relation":"dissertation_contains","status":"public","id":"11193"}]},"citation":{"ieee":"V. Belyaeva <i>et al.</i>, “Fos regulates macrophage infiltration against surrounding tissue resistance by a cortical actin-based mechanism in Drosophila,” <i>PLoS Biology</i>, vol. 20, no. 1. Public Library of Science, p. e3001494, 2022.","short":"V. Belyaeva, S. Wachner, A. György, S. Emtenani, I. Gridchyn, M. Akhmanova, M. Linder, M. Roblek, M. Sibilia, D.E. Siekhaus, PLoS Biology 20 (2022) e3001494.","mla":"Belyaeva, Vera, et al. “Fos Regulates Macrophage Infiltration against Surrounding Tissue Resistance by a Cortical Actin-Based Mechanism in Drosophila.” <i>PLoS Biology</i>, vol. 20, no. 1, Public Library of Science, 2022, p. e3001494, doi:<a href=\"https://doi.org/10.1371/journal.pbio.3001494\">10.1371/journal.pbio.3001494</a>.","ista":"Belyaeva V, Wachner S, György A, Emtenani S, Gridchyn I, Akhmanova M, Linder M, Roblek M, Sibilia M, Siekhaus DE. 2022. Fos regulates macrophage infiltration against surrounding tissue resistance by a cortical actin-based mechanism in Drosophila. PLoS Biology. 20(1), e3001494.","chicago":"Belyaeva, Vera, Stephanie Wachner, Attila György, Shamsi Emtenani, Igor Gridchyn, Maria Akhmanova, M Linder, Marko Roblek, M Sibilia, and Daria E Siekhaus. “Fos Regulates Macrophage Infiltration against Surrounding Tissue Resistance by a Cortical Actin-Based Mechanism in Drosophila.” <i>PLoS Biology</i>. Public Library of Science, 2022. <a href=\"https://doi.org/10.1371/journal.pbio.3001494\">https://doi.org/10.1371/journal.pbio.3001494</a>.","apa":"Belyaeva, V., Wachner, S., György, A., Emtenani, S., Gridchyn, I., Akhmanova, M., … Siekhaus, D. E. (2022). Fos regulates macrophage infiltration against surrounding tissue resistance by a cortical actin-based mechanism in Drosophila. <i>PLoS Biology</i>. Public Library of Science. <a href=\"https://doi.org/10.1371/journal.pbio.3001494\">https://doi.org/10.1371/journal.pbio.3001494</a>","ama":"Belyaeva V, Wachner S, György A, et al. Fos regulates macrophage infiltration against surrounding tissue resistance by a cortical actin-based mechanism in Drosophila. <i>PLoS Biology</i>. 2022;20(1):e3001494. doi:<a href=\"https://doi.org/10.1371/journal.pbio.3001494\">10.1371/journal.pbio.3001494</a>"}},{"related_material":{"record":[{"id":"6194","status":"public","relation":"part_of_dissertation"},{"status":"public","relation":"part_of_dissertation","id":"10077"}]},"citation":{"ieee":"M. Nardin, “On the encoding, transfer, and consolidation of spatial memories,” Institute of Science and Technology Austria, 2022.","mla":"Nardin, Michele. <i>On the Encoding, Transfer, and Consolidation of Spatial Memories</i>. Institute of Science and Technology Austria, 2022, doi:<a href=\"https://doi.org/10.15479/at:ista:11932\">10.15479/at:ista:11932</a>.","short":"M. Nardin, On the Encoding, Transfer, and Consolidation of Spatial Memories, Institute of Science and Technology Austria, 2022.","ista":"Nardin M. 2022. On the encoding, transfer, and consolidation of spatial memories. Institute of Science and Technology Austria.","chicago":"Nardin, Michele. “On the Encoding, Transfer, and Consolidation of Spatial Memories.” Institute of Science and Technology Austria, 2022. <a href=\"https://doi.org/10.15479/at:ista:11932\">https://doi.org/10.15479/at:ista:11932</a>.","apa":"Nardin, M. (2022). <i>On the encoding, transfer, and consolidation of spatial memories</i>. Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/at:ista:11932\">https://doi.org/10.15479/at:ista:11932</a>","ama":"Nardin M. On the encoding, transfer, and consolidation of spatial memories. 2022. doi:<a href=\"https://doi.org/10.15479/at:ista:11932\">10.15479/at:ista:11932</a>"},"article_processing_charge":"No","month":"08","title":"On the encoding, transfer, and consolidation of spatial memories","_id":"11932","alternative_title":["ISTA Thesis"],"doi":"10.15479/at:ista:11932","OA_place":"publisher","ddc":["573"],"type":"dissertation","day":"19","publisher":"Institute of Science and Technology Austria","status":"public","page":"136","user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","date_updated":"2026-04-07T14:22:58Z","year":"2022","oa_version":"Published Version","project":[{"call_identifier":"H2020","name":"International IST Doctoral Program","grant_number":"665385","_id":"2564DBCA-B435-11E9-9278-68D0E5697425"}],"has_accepted_license":"1","date_published":"2022-08-19T00:00:00Z","supervisor":[{"orcid":"0000-0002-5193-4036","last_name":"Csicsvari","full_name":"Csicsvari, Jozsef L","first_name":"Jozsef L","id":"3FA14672-F248-11E8-B48F-1D18A9856A87"}],"abstract":[{"lang":"eng","text":"The ability to form and retrieve memories is central to survival. In mammals, the hippocampus\r\nis a brain region essential to the acquisition and consolidation of new memories. It is also\r\ninvolved in keeping track of one’s position in space and aids navigation. Although this\r\nspace-memory has been a source of contradiction, evidence supports the view that the role of\r\nthe hippocampus in navigation is memory, thanks to the formation of cognitive maps. First\r\nintroduced by Tolman in 1948, cognitive maps are generally used to organize experiences in\r\nmemory; however, the detailed mechanisms by which these maps are formed and stored are not\r\nyet agreed upon. Some influential theories describe this process as involving three fundamental\r\nsteps: initial encoding by the hippocampus, interactions between the hippocampus and other\r\ncortical areas, and long-term extra-hippocampal consolidation. In this thesis, I will show how\r\nthe investigation of cognitive maps of space helped to shed light on each of these three memory\r\nprocesses.\r\nThe first study included in this thesis deals with the initial encoding of spatial memories in\r\nthe hippocampus. Much is known about encoding at the level of single cells, but less about\r\ntheir co-activity or joint contribution to the encoding of novel spatial information. I will\r\ndescribe the structure of an interaction network that allows for efficient encoding of noisy\r\nspatial information during the first exploration of a novel environment.\r\nThe second study describes the interactions between the hippocampus and the prefrontal\r\ncortex (PFC), two areas directly and indirectly connected. It is known that the PFC, in concert\r\nwith the hippocampus, is involved in various processes, including memory storage and spatial\r\nnavigation. Nonetheless, the detailed mechanisms by which PFC receives information from the\r\nhippocampus are not clear. I will show how a transient improvement in theta phase locking of\r\nPFC cells enables interactions of cell pairs across the two regions.\r\nThe third study describes the learning of behaviorally-relevant spatial locations in the hippocampus and the medial entorhinal cortex. I will show how the accumulation of firing around\r\ngoal locations, a correlate of learning, can shed light on the transition from short- to long-term\r\nspatial memories and the speed of consolidation in different brain areas.\r\nThe studies included in this thesis represent the main scientific contributions of my Ph.D. They\r\ninvolve statistical analyses and models of neural responses of cells in different brain areas of\r\nrats executing spatial tasks. I will conclude the thesis by discussing the impact of the findings\r\non principles of memory formation and retention, including the mechanisms, the speed, and\r\nthe duration of these processes."}],"language":[{"iso":"eng"}],"corr_author":"1","date_created":"2022-08-19T08:52:30Z","department":[{"_id":"GradSch"},{"_id":"JoCs"}],"publication_status":"published","degree_awarded":"PhD","oa":1,"publication_identifier":{"issn":["2663-337X"]},"file":[{"embargo_to":"open_access","access_level":"closed","relation":"source_file","file_size":13515457,"file_name":"Michele Nardin, Ph.D. Thesis - ISTA (1).zip","creator":"mnardin","date_created":"2022-08-19T16:31:34Z","file_id":"11935","date_updated":"2023-06-20T22:30:04Z","checksum":"2dbb70c74aaa3b64c1f463e943baf09c","content_type":"application/zip"},{"file_size":9906458,"creator":"mnardin","file_name":"Michele_Nardin_Phd_Thesis_PDFA.pdf","date_created":"2022-08-22T09:43:50Z","file_id":"11941","date_updated":"2023-06-20T22:30:04Z","content_type":"application/pdf","checksum":"0ec94035ea35a47a9f589ed168e60b48","embargo":"2023-06-19","access_level":"open_access","relation":"main_file"}],"acknowledgement":"I acknowledge the support from the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie Grant Agreement No. 665385.","ec_funded":1,"author":[{"last_name":"Nardin","full_name":"Nardin, Michele","first_name":"Michele","id":"30BD0376-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-8849-6570"}],"file_date_updated":"2023-06-20T22:30:04Z"},{"intvolume":"         1","ec_funded":1,"publication":"Peer Community Journal","file_date_updated":"2022-01-17T11:15:26Z","scopus_import":"1","author":[{"orcid":"0000-0001-8849-6570","last_name":"Nardin","full_name":"Nardin, Michele","first_name":"Michele","id":"30BD0376-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Phillips","full_name":"Phillips, James W.","first_name":"James W."},{"first_name":"William F.","full_name":"Podlaski, William F.","last_name":"Podlaski"},{"full_name":"Keemink, Sander W.","last_name":"Keemink","first_name":"Sander W."}],"publication_identifier":{"eissn":["2804-3871"]},"oa":1,"acknowledgement":"A preprint version of this article has been peer-reviewed and recommended by Peer Community In Neuroscience (DOI link to the recommendation: https://doi.org/10.24072/pci.cneuro.100003).\r\nWe thank Christian Machens and Nuno Calaim for useful discussions on the project. This report\r\ncame out of a collaboration started at the CAJAL Advanced Neuroscience Training Programme in\r\nComputational Neuroscience in Lisbon, Portugal, during the 2019 summer. The authors would\r\nlike to thank the participants, TAs, lecturers, and organizers of the summer school. SWK was\r\nsupported by the Simons Collaboration on the Global Brain (543009). WFP was supported by\r\nFCT (032077). MN was supported by European Union Horizon 2020 (665385).\r\n","file":[{"date_updated":"2022-01-17T11:15:26Z","content_type":"application/pdf","checksum":"cd9af6b331918608f2e3d1c7940cbf4f","file_size":3311494,"file_id":"10636","date_created":"2022-01-17T11:15:26Z","creator":"mnardin","file_name":"10_24072_pcjournal_69.pdf","relation":"main_file","access_level":"open_access","success":1}],"publication_status":"published","language":[{"iso":"eng"}],"corr_author":"1","date_created":"2022-01-17T11:12:40Z","external_id":{"arxiv":["2009.03857"]},"department":[{"_id":"GradSch"},{"_id":"JoCs"}],"quality_controlled":"1","volume":1,"article_number":"e68","abstract":[{"text":"The brain efficiently performs nonlinear computations through its intricate networks of spiking neurons, but how this is done remains elusive. While nonlinear computations can be implemented successfully in spiking neural networks, this requires supervised training and the resulting connectivity can be hard to interpret. In contrast, the required connectivity for any computation in the form of a linear dynamical system can be directly derived and understood with the spike coding network (SCN) framework. These networks also have biologically realistic activity patterns and are highly robust to cell death. Here we extend the SCN framework to directly implement any polynomial dynamical system, without the need for training. This results in networks requiring a mix of synapse types (fast, slow, and multiplicative), which we term multiplicative spike coding networks (mSCNs). Using mSCNs, we demonstrate how to directly derive the required connectivity for several nonlinear dynamical systems. We also show how to carry out higher-order polynomials with coupled networks that use only pair-wise multiplicative synapses, and provide expected numbers of connections for each synapse type. Overall, our work demonstrates a novel method for implementing nonlinear computations in spiking neural networks, while keeping the attractive features of standard SCNs (robustness, realistic activity patterns, and interpretable connectivity). Finally, we discuss the biological plausibility of our approach, and how the high accuracy and robustness of the approach may be of interest for neuromorphic computing.","lang":"eng"}],"date_updated":"2025-05-14T11:23:19Z","year":"2021","oa_version":"Published Version","project":[{"_id":"2564DBCA-B435-11E9-9278-68D0E5697425","grant_number":"665385","name":"International IST Doctoral Program","call_identifier":"H2020"}],"date_published":"2021-12-15T00:00:00Z","has_accepted_license":"1","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","tmp":{"short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"status":"public","day":"15","type":"journal_article","publisher":"Peer Community In","ddc":["519"],"arxiv":1,"article_type":"original","doi":"10.24072/pcjournal.69","month":"12","title":"Nonlinear computations in spiking neural networks through multiplicative synapses","_id":"10635","citation":{"ama":"Nardin M, Phillips JW, Podlaski WF, Keemink SW. Nonlinear computations in spiking neural networks through multiplicative synapses. <i>Peer Community Journal</i>. 2021;1. doi:<a href=\"https://doi.org/10.24072/pcjournal.69\">10.24072/pcjournal.69</a>","apa":"Nardin, M., Phillips, J. W., Podlaski, W. F., &#38; Keemink, S. W. (2021). Nonlinear computations in spiking neural networks through multiplicative synapses. <i>Peer Community Journal</i>. Peer Community In. <a href=\"https://doi.org/10.24072/pcjournal.69\">https://doi.org/10.24072/pcjournal.69</a>","chicago":"Nardin, Michele, James W. Phillips, William F. Podlaski, and Sander W. Keemink. “Nonlinear Computations in Spiking Neural Networks through Multiplicative Synapses.” <i>Peer Community Journal</i>. Peer Community In, 2021. <a href=\"https://doi.org/10.24072/pcjournal.69\">https://doi.org/10.24072/pcjournal.69</a>.","ista":"Nardin M, Phillips JW, Podlaski WF, Keemink SW. 2021. Nonlinear computations in spiking neural networks through multiplicative synapses. Peer Community Journal. 1, e68.","short":"M. Nardin, J.W. Phillips, W.F. Podlaski, S.W. Keemink, Peer Community Journal 1 (2021).","mla":"Nardin, Michele, et al. “Nonlinear Computations in Spiking Neural Networks through Multiplicative Synapses.” <i>Peer Community Journal</i>, vol. 1, e68, Peer Community In, 2021, doi:<a href=\"https://doi.org/10.24072/pcjournal.69\">10.24072/pcjournal.69</a>.","ieee":"M. Nardin, J. W. Phillips, W. F. Podlaski, and S. W. Keemink, “Nonlinear computations in spiking neural networks through multiplicative synapses,” <i>Peer Community Journal</i>, vol. 1. Peer Community In, 2021."},"article_processing_charge":"No"},{"day":"02","publisher":"Cold Spring Harbor Laboratory","main_file_link":[{"url":"https://www.biorxiv.org/content/10.1101/2021.09.30.462269","open_access":"1"}],"type":"preprint","status":"public","acknowledgement":"We thank Federico Stella for invaluable suggestions and discussions. We thank Yosman BapatDhar and Andrea Cumpelik for comments, help and suggestions on the exposure of the text. We thank Predrag Živadinović and Juliana Couras for comments on the text and the figures. This work was supported by the EU-FP7 MC-ITN IN-SENS (grant 607616).","oa":1,"publication":"bioRxiv","author":[{"last_name":"Nardin","full_name":"Nardin, Michele","id":"30BD0376-F248-11E8-B48F-1D18A9856A87","first_name":"Michele","orcid":"0000-0001-8849-6570"},{"first_name":"Karola","id":"2DAA49AA-F248-11E8-B48F-1D18A9856A87","full_name":"Käfer, Karola","last_name":"Käfer"},{"orcid":"0000-0002-5193-4036","last_name":"Csicsvari","full_name":"Csicsvari, Jozsef L","id":"3FA14672-F248-11E8-B48F-1D18A9856A87","first_name":"Jozsef L"}],"user_id":"8b945eb4-e2f2-11eb-945a-df72226e66a9","ec_funded":1,"date_published":"2021-10-02T00:00:00Z","project":[{"call_identifier":"FP7","name":"inter-and intracellular signalling in schizophrenia","grant_number":"607616","_id":"257BBB4C-B435-11E9-9278-68D0E5697425"}],"year":"2021","oa_version":"Preprint","date_updated":"2025-04-15T06:48:21Z","abstract":[{"text":"Hippocampal and neocortical neural activity is modulated by the position of the individual in space. While hippocampal neurons provide the basis for a spatial map, prefrontal cortical neurons generalize over environmental features. Whether these generalized representations result from a bidirectional interaction with, or are mainly derived from hippocampal spatial representations is not known. By examining simultaneously recorded hippocampal and medial prefrontal neurons, we observed that prefrontal spatial representations show a delayed coherence with hippocampal ones. We also identified subpopulations of cells in the hippocampus and medial prefrontal cortex that formed functional cross-area couplings; these resembled the optimal connections predicted by a probabilistic model of spatial information transfer and generalization. Moreover, cross-area couplings were strongest and had the shortest delay preceding spatial decision-making. Our results suggest that generalized spatial coding in the medial prefrontal cortex is inherited from spatial representations in the hippocampus, and that the routing of information can change dynamically with behavioral demands.","lang":"eng"}],"article_processing_charge":"No","citation":{"ista":"Nardin M, Käfer K, Csicsvari JL. The generalized spatial representation in the prefrontal cortex is inherited from the hippocampus. bioRxiv, <a href=\"https://doi.org/10.1101/2021.09.30.462269\">10.1101/2021.09.30.462269</a>.","chicago":"Nardin, Michele, Karola Käfer, and Jozsef L Csicsvari. “The Generalized Spatial Representation in the Prefrontal Cortex Is Inherited from the Hippocampus.” <i>BioRxiv</i>. Cold Spring Harbor Laboratory, n.d. <a href=\"https://doi.org/10.1101/2021.09.30.462269\">https://doi.org/10.1101/2021.09.30.462269</a>.","apa":"Nardin, M., Käfer, K., &#38; Csicsvari, J. L. (n.d.). The generalized spatial representation in the prefrontal cortex is inherited from the hippocampus. <i>bioRxiv</i>. Cold Spring Harbor Laboratory. <a href=\"https://doi.org/10.1101/2021.09.30.462269\">https://doi.org/10.1101/2021.09.30.462269</a>","ama":"Nardin M, Käfer K, Csicsvari JL. The generalized spatial representation in the prefrontal cortex is inherited from the hippocampus. <i>bioRxiv</i>. doi:<a href=\"https://doi.org/10.1101/2021.09.30.462269\">10.1101/2021.09.30.462269</a>","ieee":"M. Nardin, K. Käfer, and J. L. Csicsvari, “The generalized spatial representation in the prefrontal cortex is inherited from the hippocampus,” <i>bioRxiv</i>. Cold Spring Harbor Laboratory.","short":"M. Nardin, K. Käfer, J.L. Csicsvari, BioRxiv (n.d.).","mla":"Nardin, Michele, et al. “The Generalized Spatial Representation in the Prefrontal Cortex Is Inherited from the Hippocampus.” <i>BioRxiv</i>, Cold Spring Harbor Laboratory, doi:<a href=\"https://doi.org/10.1101/2021.09.30.462269\">10.1101/2021.09.30.462269</a>."},"_id":"10080","title":"The generalized spatial representation in the prefrontal cortex is inherited from the hippocampus","month":"10","department":[{"_id":"GradSch"},{"_id":"JoCs"}],"date_created":"2021-10-04T06:28:32Z","doi":"10.1101/2021.09.30.462269","language":[{"iso":"eng"}],"publication_status":"submitted"}]