[{"project":[{"_id":"257A4776-B435-11E9-9278-68D0E5697425","grant_number":"281511","name":"Memory-related information processing in neuronal circuits of the hippocampus and entorhinal cortex","call_identifier":"FP7"},{"call_identifier":"FWF","name":"Interneuro plasticity during spatial learning","_id":"2654F984-B435-11E9-9278-68D0E5697425","grant_number":"I 3713-B27"}],"external_id":{"pmid":["40132588"],"isi":["001510440400001"]},"article_processing_charge":"Yes (via OA deal)","page":"1446-1459.e6","file_date_updated":"2025-08-05T12:43:44Z","ec_funded":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":"Neuron","title":"Sleep stages antagonistically modulate reactivation drift","quality_controlled":"1","language":[{"iso":"eng"}],"issue":"9","OA_place":"publisher","department":[{"_id":"JoCs"}],"oa":1,"oa_version":"Published Version","_id":"19506","related_material":{"link":[{"url":"https://ista.ac.at/en/news/how-sleep-keeps-our-memories-fresh/","relation":"press_release","description":"News on ISTA website"}]},"publication_identifier":{"issn":["0896-6273"],"eissn":["1097-4199"]},"date_created":"2025-04-06T22:01:32Z","doi":"10.1016/j.neuron.2025.02.025","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).","citation":{"ista":"Bollmann L, Baracskay P, Stella F, Csicsvari JL. 2025. Sleep stages antagonistically modulate reactivation drift. Neuron. 113(9), 1446–1459.e6.","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>","short":"L. Bollmann, P. Baracskay, F. Stella, J.L. Csicsvari, Neuron 113 (2025) 1446–1459.e6.","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.","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>.","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>","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>."},"scopus_import":"1","type":"journal_article","user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","month":"05","isi":1,"tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png"},"intvolume":"       113","has_accepted_license":"1","date_published":"2025-05-07T00:00:00Z","ddc":["570"],"OA_type":"hybrid","corr_author":"1","author":[{"full_name":"Bollmann, Lars","id":"47AD3038-F248-11E8-B48F-1D18A9856A87","first_name":"Lars","last_name":"Bollmann"},{"full_name":"Baracskay, Peter","id":"361CC00E-F248-11E8-B48F-1D18A9856A87","first_name":"Peter","last_name":"Baracskay"},{"last_name":"Stella","first_name":"Federico","orcid":"0000-0001-9439-3148","id":"39AF1E74-F248-11E8-B48F-1D18A9856A87","full_name":"Stella, Federico"},{"last_name":"Csicsvari","first_name":"Jozsef L","id":"3FA14672-F248-11E8-B48F-1D18A9856A87","full_name":"Csicsvari, Jozsef L","orcid":"0000-0002-5193-4036"}],"PlanS_conform":"1","day":"07","year":"2025","file":[{"creator":"dernst","file_size":27047730,"content_type":"application/pdf","date_updated":"2025-08-05T12:43:44Z","checksum":"5e57852a45a78a751dd3a5e807bf015f","relation":"main_file","date_created":"2025-08-05T12:43:44Z","access_level":"open_access","success":1,"file_name":"2025_Neuron_Bollmann.pdf","file_id":"20133"}],"publication_status":"published","pmid":1,"status":"public","publisher":"Elsevier","article_type":"original","date_updated":"2026-04-28T13:39:22Z"},{"year":"2024","day":"19","file":[{"access_level":"open_access","relation":"main_file","date_created":"2025-01-09T09:15:31Z","checksum":"de5b18ff293d42bd90e83a193e889844","file_size":9149079,"date_updated":"2025-01-09T09:15:31Z","content_type":"application/pdf","creator":"dernst","file_id":"18798","file_name":"2024_Neuron_RangelGuerrero.pdf","success":1}],"status":"public","publication_status":"published","pmid":1,"date_updated":"2025-09-08T07:26:42Z","publisher":"Cell Press","article_type":"original","intvolume":"       112","tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png"},"isi":1,"has_accepted_license":"1","OA_type":"hybrid","corr_author":"1","ddc":["570"],"date_published":"2024-06-19T00:00:00Z","author":[{"last_name":"Rangel Guerrero","first_name":"Dámaris K","id":"4871BCE6-F248-11E8-B48F-1D18A9856A87","full_name":"Rangel Guerrero, Dámaris K","orcid":"0000-0002-8602-4374"},{"full_name":"Balueva, Kira","last_name":"Balueva","first_name":"Kira"},{"id":"b515be12-ec90-11ea-b966-d0b5e15613d2","full_name":"Barayeu, Uladzislau","last_name":"Barayeu","first_name":"Uladzislau"},{"id":"361CC00E-F248-11E8-B48F-1D18A9856A87","full_name":"Baracskay, Peter","last_name":"Baracskay","first_name":"Peter"},{"orcid":"0000-0002-1807-1929","full_name":"Gridchyn, Igor","id":"4B60654C-F248-11E8-B48F-1D18A9856A87","first_name":"Igor","last_name":"Gridchyn"},{"first_name":"Michele","last_name":"Nardin","orcid":"0000-0001-8849-6570","full_name":"Nardin, Michele","id":"30BD0376-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Roth","first_name":"Chiara N","id":"37BB4FB6-F248-11E8-B48F-1D18A9856A87","full_name":"Roth, Chiara N"},{"last_name":"Wulff","first_name":"Peer","full_name":"Wulff, Peer"},{"first_name":"Jozsef L","last_name":"Csicsvari","full_name":"Csicsvari, Jozsef L","id":"3FA14672-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-5193-4036"}],"OA_place":"publisher","issue":"12","quality_controlled":"1","language":[{"iso":"eng"}],"oa":1,"oa_version":"Published Version","department":[{"_id":"JoCs"}],"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.).","doi":"10.1016/j.neuron.2024.03.019","date_created":"2024-05-12T22:01:03Z","publication_identifier":{"issn":["0896-6273"],"eissn":["1097-4199"]},"_id":"15381","month":"06","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","type":"journal_article","scopus_import":"1","citation":{"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>","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>","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>.","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.","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.","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>."},"acknowledged_ssus":[{"_id":"M-Shop"},{"_id":"Bio"},{"_id":"LifeSc"},{"_id":"PreCl"}],"external_id":{"pmid":["38636524"],"isi":["001300571400001"]},"page":"2045-2061.e10","article_processing_charge":"Yes (via OA deal)","project":[{"_id":"2654F984-B435-11E9-9278-68D0E5697425","grant_number":"I 3713-B27","call_identifier":"FWF","name":"Interneuro plasticity during spatial learning"}],"publication":"Neuron","abstract":[{"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.","lang":"eng"}],"volume":112,"file_date_updated":"2025-01-09T09:15:31Z","title":"Hippocampal cholecystokinin-expressing interneurons regulate temporal coding and contextual learning"},{"project":[{"_id":"257A4776-B435-11E9-9278-68D0E5697425","grant_number":"281511","name":"Memory-related information processing in neuronal circuits of the hippocampus and entorhinal cortex","call_identifier":"FP7"}],"page":"119-132.e4","external_id":{"isi":["000454791500014"]},"article_processing_charge":"No","title":"Assembly responses of hippocampal CA1 place cells predict learned behavior in goal-directed spatial tasks on the radial eight-arm maze","volume":101,"ec_funded":1,"abstract":[{"text":"Hippocampus is needed for both spatial working and reference memories. Here, using a radial eight-arm maze, we examined how the combined demand on these memories influenced CA1 place cell assemblies while reference memories were partially updated. This was contrasted with control tasks requiring only working memory or the update of reference memory. Reference memory update led to the reward-directed place field shifts at newly rewarded arms and to the gradual strengthening of firing in passes between newly rewarded arms but not between those passes that included a familiar-rewarded arm. At the maze center, transient network synchronization periods preferentially replayed trajectories of the next chosen arm in reference memory tasks but the previously visited arm in the working memory task. Hence, reference memory demand was uniquely associated with a gradual, goal novelty-related reorganization of place cell assemblies and with trajectory replay that reflected the animal's decision of which arm to visit next.","lang":"eng"}],"publication":"Neuron","department":[{"_id":"JoCs"}],"oa":1,"oa_version":"Published Version","quality_controlled":"1","language":[{"iso":"eng"}],"issue":"1","citation":{"ista":"Xu H, Baracskay P, O’Neill J, Csicsvari JL. 2019. Assembly responses of hippocampal CA1 place cells predict learned behavior in goal-directed spatial tasks on the radial eight-arm maze. Neuron. 101(1), 119–132.e4.","apa":"Xu, H., Baracskay, P., O’Neill, J., &#38; Csicsvari, J. L. (2019). Assembly responses of hippocampal CA1 place cells predict learned behavior in goal-directed spatial tasks on the radial eight-arm maze. <i>Neuron</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.neuron.2018.11.015\">https://doi.org/10.1016/j.neuron.2018.11.015</a>","short":"H. Xu, P. Baracskay, J. O’Neill, J.L. Csicsvari, Neuron 101 (2019) 119–132.e4.","mla":"Xu, Haibing, et al. “Assembly Responses of Hippocampal CA1 Place Cells Predict Learned Behavior in Goal-Directed Spatial Tasks on the Radial Eight-Arm Maze.” <i>Neuron</i>, vol. 101, no. 1, Elsevier, 2019, p. 119–132.e4, doi:<a href=\"https://doi.org/10.1016/j.neuron.2018.11.015\">10.1016/j.neuron.2018.11.015</a>.","ieee":"H. Xu, P. Baracskay, J. O’Neill, and J. L. Csicsvari, “Assembly responses of hippocampal CA1 place cells predict learned behavior in goal-directed spatial tasks on the radial eight-arm maze,” <i>Neuron</i>, vol. 101, no. 1. Elsevier, p. 119–132.e4, 2019.","ama":"Xu H, Baracskay P, O’Neill J, Csicsvari JL. Assembly responses of hippocampal CA1 place cells predict learned behavior in goal-directed spatial tasks on the radial eight-arm maze. <i>Neuron</i>. 2019;101(1):119-132.e4. doi:<a href=\"https://doi.org/10.1016/j.neuron.2018.11.015\">10.1016/j.neuron.2018.11.015</a>","chicago":"Xu, Haibing, Peter Baracskay, Joseph O’Neill, and Jozsef L Csicsvari. “Assembly Responses of Hippocampal CA1 Place Cells Predict Learned Behavior in Goal-Directed Spatial Tasks on the Radial Eight-Arm Maze.” <i>Neuron</i>. Elsevier, 2019. <a href=\"https://doi.org/10.1016/j.neuron.2018.11.015\">https://doi.org/10.1016/j.neuron.2018.11.015</a>."},"scopus_import":"1","type":"journal_article","month":"01","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","_id":"5828","publication_identifier":{"issn":["1097-4199"]},"related_material":{"record":[{"status":"public","relation":"dissertation_contains","id":"837"}],"link":[{"relation":"press_release","url":"https://ist.ac.at/en/news/reading-rats-minds/","description":"News on IST Homepage"}]},"doi":"10.1016/j.neuron.2018.11.015","date_created":"2019-01-13T22:59:10Z","main_file_link":[{"url":"https://www.doi.org/10.1016/j.neuron.2018.11.015","open_access":"1"}],"isi":1,"intvolume":"       101","author":[{"last_name":"Xu","first_name":"Haibing","id":"310349D0-F248-11E8-B48F-1D18A9856A87","full_name":"Xu, Haibing"},{"id":"361CC00E-F248-11E8-B48F-1D18A9856A87","full_name":"Baracskay, Peter","last_name":"Baracskay","first_name":"Peter"},{"id":"426376DC-F248-11E8-B48F-1D18A9856A87","full_name":"O'Neill, Joseph","last_name":"O'Neill","first_name":"Joseph"},{"last_name":"Csicsvari","first_name":"Jozsef L","id":"3FA14672-F248-11E8-B48F-1D18A9856A87","full_name":"Csicsvari, Jozsef L","orcid":"0000-0002-5193-4036"}],"date_published":"2019-01-02T00:00:00Z","ddc":["570"],"day":"02","year":"2019","publisher":"Elsevier","article_type":"original","date_updated":"2026-06-18T18:56:25Z","publication_status":"published","status":"public"},{"ddc":["570"],"date_published":"2019-04-17T00:00:00Z","author":[{"last_name":"Stella","first_name":"Federico","orcid":"0000-0001-9439-3148","id":"39AF1E74-F248-11E8-B48F-1D18A9856A87","full_name":"Stella, Federico"},{"id":"361CC00E-F248-11E8-B48F-1D18A9856A87","full_name":"Baracskay, Peter","last_name":"Baracskay","first_name":"Peter"},{"id":"426376DC-F248-11E8-B48F-1D18A9856A87","full_name":"O'Neill, Joseph","last_name":"O'Neill","first_name":"Joseph"},{"last_name":"Csicsvari","first_name":"Jozsef L","orcid":"0000-0002-5193-4036","id":"3FA14672-F248-11E8-B48F-1D18A9856A87","full_name":"Csicsvari, Jozsef L"}],"intvolume":"       102","isi":1,"status":"public","publication_status":"published","pmid":1,"date_updated":"2026-06-18T19:03:23Z","article_type":"original","publisher":"Elsevier","year":"2019","day":"17","publication":"Neuron","abstract":[{"text":"Hippocampal activity patterns representing movement trajectories are reactivated in immobility and sleep periods, a process associated with memory recall, consolidation, and decision making. It is thought that only fixed, behaviorally relevant patterns can be reactivated, which are stored across hippocampal synaptic connections. To test whether some generalized rules govern reactivation, we examined trajectory reactivation following non-stereotypical exploration of familiar open-field environments. We found that random trajectories of varying lengths and timescales were reactivated, resembling that of Brownian motion of particles. The animals’ behavioral trajectory did not follow Brownian diffusion demonstrating that the exact behavioral experience is not reactivated. Therefore, hippocampal circuits are able to generate random trajectories of any recently active map by following diffusion dynamics. This ability of hippocampal circuits to generate representations of all behavioral outcome combinations, experienced or not, may underlie a wide variety of hippocampal-dependent cognitive functions such as learning, generalization, and planning.","lang":"eng"}],"ec_funded":1,"volume":102,"title":"Hippocampal reactivation of random trajectories resembling Brownian diffusion","external_id":{"isi":["000465169700017"],"pmid":["30819547"]},"page":"450-461","article_processing_charge":"No","project":[{"_id":"257A4776-B435-11E9-9278-68D0E5697425","grant_number":"281511","name":"Memory-related information processing in neuronal circuits of the hippocampus and entorhinal cortex","call_identifier":"FP7"},{"name":"Interneuro plasticity during spatial learning","call_identifier":"FWF","grant_number":"I 3713-B27","_id":"2654F984-B435-11E9-9278-68D0E5697425"}],"main_file_link":[{"url":"https://doi.org/10.1016/j.neuron.2019.01.052","open_access":"1"}],"doi":"10.1016/j.neuron.2019.01.052","date_created":"2019-04-17T08:28:59Z","related_material":{"link":[{"description":"News on IST Homepage","url":"https://ist.ac.at/en/news/memories-of-movement-are-replayed-randomly-during-sleep/","relation":"press_release"}]},"_id":"6338","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","month":"04","type":"journal_article","scopus_import":"1","citation":{"ama":"Stella F, Baracskay P, O’Neill J, Csicsvari JL. Hippocampal reactivation of random trajectories resembling Brownian diffusion. <i>Neuron</i>. 2019;102:450-461. doi:<a href=\"https://doi.org/10.1016/j.neuron.2019.01.052\">10.1016/j.neuron.2019.01.052</a>","chicago":"Stella, Federico, Peter Baracskay, Joseph O’Neill, and Jozsef L Csicsvari. “Hippocampal Reactivation of Random Trajectories Resembling Brownian Diffusion.” <i>Neuron</i>. Elsevier, 2019. <a href=\"https://doi.org/10.1016/j.neuron.2019.01.052\">https://doi.org/10.1016/j.neuron.2019.01.052</a>.","short":"F. Stella, P. Baracskay, J. O’Neill, J.L. Csicsvari, Neuron 102 (2019) 450–461.","ieee":"F. Stella, P. Baracskay, J. O’Neill, and J. L. Csicsvari, “Hippocampal reactivation of random trajectories resembling Brownian diffusion,” <i>Neuron</i>, vol. 102. Elsevier, pp. 450–461, 2019.","mla":"Stella, Federico, et al. “Hippocampal Reactivation of Random Trajectories Resembling Brownian Diffusion.” <i>Neuron</i>, vol. 102, Elsevier, 2019, pp. 450–61, doi:<a href=\"https://doi.org/10.1016/j.neuron.2019.01.052\">10.1016/j.neuron.2019.01.052</a>.","apa":"Stella, F., Baracskay, P., O’Neill, J., &#38; Csicsvari, J. L. (2019). Hippocampal reactivation of random trajectories resembling Brownian diffusion. <i>Neuron</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.neuron.2019.01.052\">https://doi.org/10.1016/j.neuron.2019.01.052</a>","ista":"Stella F, Baracskay P, O’Neill J, Csicsvari JL. 2019. Hippocampal reactivation of random trajectories resembling Brownian diffusion. Neuron. 102, 450–461."},"quality_controlled":"1","language":[{"iso":"eng"}],"oa_version":"Published Version","oa":1,"department":[{"_id":"JoCs"}]}]