[{"quality_controlled":"1","year":"2025","OA_type":"hybrid","oa_version":"Published Version","article_number":"7278","isi":1,"project":[{"_id":"2634E9D2-B435-11E9-9278-68D0E5697425","name":"Circuits of Visual Attention","grant_number":"756502","call_identifier":"H2020"},{"_id":"bdaf81a8-d553-11ed-ba76-c95961984540","name":"Action Selection in the Midbrain: Neuromodulation of Visuomotor Senses","grant_number":"101086580"},{"_id":"264FEA02-B435-11E9-9278-68D0E5697425","grant_number":"ALTF 1098-2017","name":"Connecting sensory with motor processing in the superior colliculus"},{"name":"Neuronal networks of salience and spatial detection in the murine superior colliculus","grant_number":"LT000256","_id":"266D407A-B435-11E9-9278-68D0E5697425"}],"author":[{"id":"2E7C4E78-F248-11E8-B48F-1D18A9856A87","full_name":"Vega Zuniga, Tomas A","first_name":"Tomas A","last_name":"Vega Zuniga"},{"id":"3320A096-F248-11E8-B48F-1D18A9856A87","full_name":"Sumser, Anton L","first_name":"Anton L","orcid":"0000-0002-4792-1881","last_name":"Sumser"},{"full_name":"Symonova, Olga","id":"3C0C7BC6-F248-11E8-B48F-1D18A9856A87","last_name":"Symonova","orcid":"0000-0003-2012-9947","first_name":"Olga"},{"id":"3B8B25A8-F248-11E8-B48F-1D18A9856A87","full_name":"Koppensteiner, Peter","first_name":"Peter","orcid":"0000-0002-3509-1948","last_name":"Koppensteiner"},{"first_name":"Florian","last_name":"Schmidt","id":"A2EF226A-AF19-11E9-924C-0525E6697425","full_name":"Schmidt, Florian"},{"full_name":"Jösch, Maximilian A","id":"2BD278E6-F248-11E8-B48F-1D18A9856A87","last_name":"Jösch","orcid":"0000-0002-3937-1330","first_name":"Maximilian A"}],"department":[{"_id":"MaJö"},{"_id":"PreCl"}],"month":"03","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","volume":28,"external_id":{"isi":["001416866800001"],"pmid":["39930095"]},"citation":{"short":"T.A. Vega Zuniga, A.L. Sumser, O. Symonova, P. Koppensteiner, F. Schmidt, M.A. Jösch, Nature Neuroscience 28 (2025).","mla":"Vega Zuniga, Tomas A., et al. “A Thalamic Hub-and-Spoke Network Enables Visual Perception during Action by Coordinating Visuomotor Dynamics.” <i>Nature Neuroscience</i>, vol. 28, 7278, Springer Nature, 2025, doi:<a href=\"https://doi.org/10.1038/s41593-025-01874-w\">10.1038/s41593-025-01874-w</a>.","ista":"Vega Zuniga TA, Sumser AL, Symonova O, Koppensteiner P, Schmidt F, Jösch MA. 2025. A thalamic hub-and-spoke network enables visual perception during action by coordinating visuomotor dynamics. Nature Neuroscience. 28, 7278.","apa":"Vega Zuniga, T. A., Sumser, A. L., Symonova, O., Koppensteiner, P., Schmidt, F., &#38; Jösch, M. A. (2025). A thalamic hub-and-spoke network enables visual perception during action by coordinating visuomotor dynamics. <i>Nature Neuroscience</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s41593-025-01874-w\">https://doi.org/10.1038/s41593-025-01874-w</a>","ieee":"T. A. Vega Zuniga, A. L. Sumser, O. Symonova, P. Koppensteiner, F. Schmidt, and M. A. Jösch, “A thalamic hub-and-spoke network enables visual perception during action by coordinating visuomotor dynamics,” <i>Nature Neuroscience</i>, vol. 28. Springer Nature, 2025.","chicago":"Vega Zuniga, Tomas A, Anton L Sumser, Olga Symonova, Peter Koppensteiner, Florian Schmidt, and Maximilian A Jösch. “A Thalamic Hub-and-Spoke Network Enables Visual Perception during Action by Coordinating Visuomotor Dynamics.” <i>Nature Neuroscience</i>. Springer Nature, 2025. <a href=\"https://doi.org/10.1038/s41593-025-01874-w\">https://doi.org/10.1038/s41593-025-01874-w</a>.","ama":"Vega Zuniga TA, Sumser AL, Symonova O, Koppensteiner P, Schmidt F, Jösch MA. A thalamic hub-and-spoke network enables visual perception during action by coordinating visuomotor dynamics. <i>Nature Neuroscience</i>. 2025;28. doi:<a href=\"https://doi.org/10.1038/s41593-025-01874-w\">10.1038/s41593-025-01874-w</a>"},"related_material":{"link":[{"url":"https://ista.ac.at/en/news/high-tech-video-optimization-in-our-brain/","description":"News on ISTA Website","relation":"press_release"}],"record":[{"id":"18579","relation":"research_data","status":"public"}]},"tmp":{"short":"CC BY (4.0)","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png"},"status":"public","publisher":"Springer Nature","scopus_import":"1","ec_funded":1,"acknowledged_ssus":[{"_id":"ScienComp"},{"_id":"PreCl"},{"_id":"LifeSc"},{"_id":"Bio"}],"has_accepted_license":"1","article_type":"original","day":"01","corr_author":"1","intvolume":"        28","date_created":"2025-02-23T23:01:58Z","type":"journal_article","article_processing_charge":"Yes (via OA deal)","_id":"19076","ddc":["570"],"acknowledgement":"We thank Y. Ben-Simon for generously making viral vectors for retrograde tracing available, as well as J. Watson and F. Marr for reagents. We also thank R. Shigemoto, W. Młynarski and members of the Neuroethology group for their comments on the manuscript and L. Burnett for her schematic drawings. This research was supported by the Scientific Service Units of ISTA through resources provided by Scientific Computing, the Preclinical Facility, the Lab Support Facility and the Imaging and Optics Facility, in particular F. Lange, M. Schunn and T. Asenov. This work was supported by European Research Council Starting Grant no. 756502 (M.J.) and European Research Council Consolidator Grant no. 101086580 (M.J.); and EMBO ALTF grant no. 1098-2017 (A.S.) and Human Frontiers Science Program grant no. LT000256/2018-L (A.S.). Open access funding provided by Institute of Science and Technology (IST Austria).","pmid":1,"main_file_link":[{"url":"https://doi.org/10.1038/s41593-025-01874-w","open_access":"1"}],"publication":"Nature Neuroscience","publication_status":"published","oa":1,"language":[{"iso":"eng"}],"OA_place":"publisher","doi":"10.1038/s41593-025-01874-w","publication_identifier":{"eissn":["1546-1726"],"issn":["1097-6256"]},"date_updated":"2026-06-18T18:12:08Z","date_published":"2025-03-01T00:00:00Z","title":"A thalamic hub-and-spoke network enables visual perception during action by coordinating visuomotor dynamics","abstract":[{"lang":"eng","text":"For accurate perception and motor control, an animal must distinguish between sensory experiences elicited by external stimuli and those elicited by its own actions. The diversity of behaviors and their complex influences on the senses make this distinction challenging. Here, we uncover an action–cue hub that coordinates motor commands with visual processing in the brain’s first visual relay. We show that the ventral lateral geniculate nucleus (vLGN) acts as a corollary discharge center, integrating visual translational optic flow signals with motor copies from saccades, locomotion and pupil dynamics. The vLGN relays these signals to correct action-specific visual distortions and to refine perception, as shown for the superior colliculus and in a depth-estimation task. Simultaneously, brain-wide vLGN projections drive corrective actions necessary for accurate visuomotor control. Our results reveal an extended corollary discharge architecture that refines early visual transformations and coordinates actions via a distributed hub-and-spoke network to enable visual perception during action."}]},{"corr_author":"1","intvolume":"        27","article_processing_charge":"Yes (in subscription journal)","_id":"14887","ddc":["570"],"date_created":"2024-01-28T23:01:43Z","page":"561-572","type":"journal_article","publication":"Nature Neuroscience","publication_status":"published","oa":1,"language":[{"iso":"eng"}],"acknowledgement":"We thank S. Erisken from Inscopix for helping us establish in vivo one-photon calcium imaging for this work. We thank K. Su at Tsinghua University for assistance with this work. This work was funded by the President’s PhD Scholarship from Imperial College London (D.F.T.), the Wellcome Trust (225412/Z/22/Z) (S.S.), the Biotechnology and Biological Sciences Research Council (BB/N013956/1 and BB/N019008/1) (C.C.), the Wellcome Trust (200790/Z/16/Z) (C.C.), the Simons Foundation (564408) (C.C.) and the Engineering and Physical Sciences Research Council (EP/R035806/1) (CC). The School of Life Sciences and the IDG/McGovern Institute for Brain Research supported Y.Z. The Warren Alpert Distinguished Scholar Award and National Institutes of Health 1K99NS125131-01 supported D.S.R.","pmid":1,"date_published":"2024-03-01T00:00:00Z","title":"Dynamic and selective engrams emerge with memory consolidation","abstract":[{"lang":"eng","text":"Episodic memories are encoded by experience-activated neuronal ensembles that remain necessary and sufficient for recall. However, the temporal evolution of memory engrams after initial encoding is unclear. In this study, we employed computational and experimental approaches to examine how the neural composition and selectivity of engrams change with memory consolidation. Our spiking neural network model yielded testable predictions: memories transition from unselective to selective as neurons drop out of and drop into engrams; inhibitory activity during recall is essential for memory selectivity; and inhibitory synaptic plasticity during memory consolidation is critical for engrams to become selective. Using activity-dependent labeling, longitudinal calcium imaging and a combination of optogenetic and chemogenetic manipulations in mouse dentate gyrus, we conducted contextual fear conditioning experiments that supported our model’s predictions. Our results reveal that memory engrams are dynamic and that changes in engram composition mediated by inhibitory plasticity are crucial for the emergence of memory selectivity."}],"doi":"10.1038/s41593-023-01551-w","publication_identifier":{"eissn":["1546-1726"],"issn":["1097-6256"]},"date_updated":"2025-04-23T07:40:21Z","year":"2024","file_date_updated":"2024-07-16T12:15:19Z","oa_version":"Published Version","quality_controlled":"1","author":[{"full_name":"Feitosa Tomé, Douglas","id":"0eed2d40-3d48-11ec-8d38-f789cc2e40b2","last_name":"Feitosa Tomé","first_name":"Douglas"},{"first_name":"Ying","last_name":"Zhang","full_name":"Zhang, Ying"},{"full_name":"Aida, Tomomi","last_name":"Aida","first_name":"Tomomi"},{"full_name":"Mosto, Olivia","last_name":"Mosto","first_name":"Olivia"},{"full_name":"Lu, Yifeng","first_name":"Yifeng","last_name":"Lu"},{"first_name":"Mandy","last_name":"Chen","full_name":"Chen, Mandy"},{"last_name":"Sadeh","first_name":"Sadra","full_name":"Sadeh, Sadra"},{"full_name":"Roy, Dheeraj S.","first_name":"Dheeraj S.","last_name":"Roy"},{"last_name":"Clopath","first_name":"Claudia","full_name":"Clopath, Claudia"}],"isi":1,"citation":{"apa":"Feitosa Tomé, D., Zhang, Y., Aida, T., Mosto, O., Lu, Y., Chen, M., … Clopath, C. (2024). Dynamic and selective engrams emerge with memory consolidation. <i>Nature Neuroscience</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s41593-023-01551-w\">https://doi.org/10.1038/s41593-023-01551-w</a>","ama":"Feitosa Tomé D, Zhang Y, Aida T, et al. Dynamic and selective engrams emerge with memory consolidation. <i>Nature Neuroscience</i>. 2024;27:561-572. doi:<a href=\"https://doi.org/10.1038/s41593-023-01551-w\">10.1038/s41593-023-01551-w</a>","chicago":"Feitosa Tomé, Douglas, Ying Zhang, Tomomi Aida, Olivia Mosto, Yifeng Lu, Mandy Chen, Sadra Sadeh, Dheeraj S. Roy, and Claudia Clopath. “Dynamic and Selective Engrams Emerge with Memory Consolidation.” <i>Nature Neuroscience</i>. Springer Nature, 2024. <a href=\"https://doi.org/10.1038/s41593-023-01551-w\">https://doi.org/10.1038/s41593-023-01551-w</a>.","ieee":"D. Feitosa Tomé <i>et al.</i>, “Dynamic and selective engrams emerge with memory consolidation,” <i>Nature Neuroscience</i>, vol. 27. Springer Nature, pp. 561–572, 2024.","ista":"Feitosa Tomé D, Zhang Y, Aida T, Mosto O, Lu Y, Chen M, Sadeh S, Roy DS, Clopath C. 2024. Dynamic and selective engrams emerge with memory consolidation. Nature Neuroscience. 27, 561–572.","mla":"Feitosa Tomé, Douglas, et al. “Dynamic and Selective Engrams Emerge with Memory Consolidation.” <i>Nature Neuroscience</i>, vol. 27, Springer Nature, 2024, pp. 561–72, doi:<a href=\"https://doi.org/10.1038/s41593-023-01551-w\">10.1038/s41593-023-01551-w</a>.","short":"D. Feitosa Tomé, Y. Zhang, T. Aida, O. Mosto, Y. Lu, M. Chen, S. Sadeh, D.S. Roy, C. Clopath, Nature Neuroscience 27 (2024) 561–572."},"department":[{"_id":"TiVo"}],"month":"03","external_id":{"pmid":["38243089"],"isi":["001145442300001"]},"volume":27,"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","article_type":"original","day":"01","related_material":{"record":[{"status":"public","id":"14892","relation":"research_data"}]},"tmp":{"short":"CC BY (4.0)","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png"},"publisher":"Springer Nature","scopus_import":"1","status":"public","file":[{"date_created":"2024-07-16T12:15:19Z","content_type":"application/pdf","date_updated":"2024-07-16T12:15:19Z","creator":"dernst","file_name":"2024_NatureNeuroscience_FeitosaTome.pdf","file_size":15830346,"access_level":"open_access","file_id":"17268","checksum":"c509fcad757e4c1c153e857e55c20083","success":1,"relation":"main_file"}],"has_accepted_license":"1"},{"citation":{"apa":"Agnes, E. J., &#38; Vogels, T. P. (2024). Co-dependent excitatory and inhibitory plasticity accounts for quick, stable and long-lasting memories in biological networks. <i>Nature Neuroscience</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s41593-024-01597-4\">https://doi.org/10.1038/s41593-024-01597-4</a>","chicago":"Agnes, Everton J., and Tim P Vogels. “Co-Dependent Excitatory and Inhibitory Plasticity Accounts for Quick, Stable and Long-Lasting Memories in Biological Networks.” <i>Nature Neuroscience</i>. Springer Nature, 2024. <a href=\"https://doi.org/10.1038/s41593-024-01597-4\">https://doi.org/10.1038/s41593-024-01597-4</a>.","ama":"Agnes EJ, Vogels TP. Co-dependent excitatory and inhibitory plasticity accounts for quick, stable and long-lasting memories in biological networks. <i>Nature Neuroscience</i>. 2024;27:964-974. doi:<a href=\"https://doi.org/10.1038/s41593-024-01597-4\">10.1038/s41593-024-01597-4</a>","ieee":"E. J. Agnes and T. P. Vogels, “Co-dependent excitatory and inhibitory plasticity accounts for quick, stable and long-lasting memories in biological networks,” <i>Nature Neuroscience</i>, vol. 27. Springer Nature, pp. 964–974, 2024.","ista":"Agnes EJ, Vogels TP. 2024. Co-dependent excitatory and inhibitory plasticity accounts for quick, stable and long-lasting memories in biological networks. Nature Neuroscience. 27, 964–974.","mla":"Agnes, Everton J., and Tim P. Vogels. “Co-Dependent Excitatory and Inhibitory Plasticity Accounts for Quick, Stable and Long-Lasting Memories in Biological Networks.” <i>Nature Neuroscience</i>, vol. 27, Springer Nature, 2024, pp. 964–74, doi:<a href=\"https://doi.org/10.1038/s41593-024-01597-4\">10.1038/s41593-024-01597-4</a>.","short":"E.J. Agnes, T.P. Vogels, Nature Neuroscience 27 (2024) 964–974."},"department":[{"_id":"TiVo"}],"month":"05","external_id":{"isi":["001190081400001"],"pmid":["38509348 "]},"user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","volume":27,"article_type":"original","day":"01","tmp":{"short":"CC BY (4.0)","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png"},"file":[{"success":1,"relation":"main_file","date_created":"2025-06-25T08:45:32Z","content_type":"application/pdf","date_updated":"2025-06-25T08:45:32Z","file_name":"2025_NatureNeuroscience_Agnes.pdf","creator":"dernst","file_size":10508018,"access_level":"open_access","file_id":"19902","checksum":"dfca68a24749575b912b3a78a7de4516"}],"publisher":"Springer Nature","status":"public","ec_funded":1,"scopus_import":"1","has_accepted_license":"1","year":"2024","OA_type":"hybrid","file_date_updated":"2025-06-25T08:45:32Z","oa_version":"Published Version","quality_controlled":"1","project":[{"grant_number":"819603","name":"Learning the shape of synaptic plasticity rules for neuronal architectures and function through machine learning.","_id":"0aacfa84-070f-11eb-9043-d7eb2c709234","call_identifier":"H2020"}],"author":[{"full_name":"Agnes, Everton J.","first_name":"Everton J.","last_name":"Agnes"},{"last_name":"Vogels","first_name":"Tim P","orcid":"0000-0003-3295-6181","full_name":"Vogels, Tim P","id":"CB6FF8D2-008F-11EA-8E08-2637E6697425"}],"isi":1,"publication_status":"published","publication":"Nature Neuroscience","oa":1,"language":[{"iso":"eng"}],"OA_place":"publisher","acknowledgement":"We thank C. Currin, B. Podlaski and the members of the Vogels group for fruitful discussions. E.J.A. and T.P.V. were supported by a Research Project Grant from the Leverhulme Trust (RPG-2016-446; TPV), a Sir Henry Dale Fellowship from the Wellcome Trust and the Royal Society (WT100000; T.P.V.), a Wellcome Trust Senior Research Fellowship (214316/Z/18/Z; T.P.V.) and a European Research Council Consolidator Grant (SYNAPSEEK, 819603; T.P.V.). For the purpose of open access, the authors have applied a CC BY public copyright license to any author accepted manuscript version arising from this submission. Open access funding provided by University of Basel.","pmid":1,"date_published":"2024-05-01T00:00:00Z","title":"Co-dependent excitatory and inhibitory plasticity accounts for quick, stable and long-lasting memories in biological networks","abstract":[{"lang":"eng","text":"The brain’s functionality is developed and maintained through synaptic plasticity. As synapses undergo plasticity, they also affect each other. The nature of such ‘co-dependency’ is difficult to disentangle experimentally, because multiple synapses must be monitored simultaneously. To help understand the experimentally observed phenomena, we introduce a framework that formalizes synaptic co-dependency between different connection types. The resulting model explains how inhibition can gate excitatory plasticity while neighboring excitatory–excitatory interactions determine the strength of long-term potentiation. Furthermore, we show how the interplay between excitatory and inhibitory synapses can account for the quick rise and long-term stability of a variety of synaptic weight profiles, such as orientation tuning and dendritic clustering of co-active synapses. In recurrent neuronal networks, co-dependent plasticity produces rich and stable motor cortex-like dynamics with high input sensitivity. Our results suggest an essential role for the neighborly synaptic interaction during learning, connecting micro-level physiology with network-wide phenomena."}],"doi":"10.1038/s41593-024-01597-4","publication_identifier":{"issn":["1097-6256"],"eissn":["1546-1726"]},"date_updated":"2025-09-04T13:06:06Z","intvolume":"        27","article_processing_charge":"Yes (via OA deal)","ddc":["570"],"_id":"15171","date_created":"2024-03-24T23:01:00Z","page":"964-974","type":"journal_article"},{"publication_identifier":{"issn":["1097-6256"],"eissn":["1546-1726"]},"doi":"10.1038/s41593-023-01280-0","date_updated":"2026-08-13T22:30:34Z","title":"Panoramic visual statistics shape retina-wide organization of receptive fields","date_published":"2023-04-01T00:00:00Z","abstract":[{"lang":"eng","text":"Statistics of natural scenes are not uniform - their structure varies dramatically from ground to sky. It remains unknown whether these non-uniformities are reflected in the large-scale organization of the early visual system and what benefits such adaptations would confer. Here, by relying on the efficient coding hypothesis, we predict that changes in the structure of receptive fields across visual space increase the efficiency of sensory coding. We show experimentally that, in agreement with our predictions, receptive fields of retinal ganglion cells change their shape along the dorsoventral retinal axis, with a marked surround asymmetry at the visual horizon. Our work demonstrates that, according to principles of efficient coding, the panoramic structure of natural scenes is exploited by the retina across space and cell-types."}],"acknowledgement":"We thank Hiroki Asari for sharing the dataset of naturalistic images, Anton Sumser for sharing visual stimulus code, Yoav Ben Simon for initial explorative work with the generation of AAVs, and Tomas Vega-Zuñiga for help with immunostainings. We also thank Gasper Tkacik and members of the Neuroethology group for their comments on the manuscript. This research was supported by the Scientific Service Units of IST Austria through resources provided by Scientific Computing, the Preclinical Facility, the Lab Support Facility, and the Imaging and Optics Facility. This work was supported by European Union Horizon 2020 Marie Skłodowska-Curie grant 665385 (DG), Austrian Science Fund (FWF) stand-alone grant P 34015 (WM), Human Frontiers Science Program LT000256/2018-L (AS), EMBO ALTF 1098-2017 (AS) and the European Research Council Starting Grant 756502 (MJ).","pmid":1,"oa":1,"publication":"Nature Neuroscience","publication_status":"published","language":[{"iso":"eng"}],"page":"606-614","date_created":"2023-01-23T14:14:19Z","type":"journal_article","article_processing_charge":"Yes (in subscription journal)","_id":"12349","ddc":["570"],"corr_author":"1","intvolume":"        26","scopus_import":"1","file":[{"date_updated":"2023-10-04T11:40:51Z","content_type":"application/pdf","date_created":"2023-10-04T11:40:51Z","checksum":"a33d91e398e548f34003170e10988368","file_id":"14395","access_level":"open_access","file_size":6144866,"file_name":"2023_NatureNeuroscience_Gupta.pdf","creator":"dernst","relation":"main_file","success":1}],"ec_funded":1,"publisher":"Springer Nature","status":"public","tmp":{"short":"CC BY (4.0)","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png"},"related_material":{"record":[{"status":"public","id":"12370","relation":"research_data"},{"status":"public","id":"18574","relation":"dissertation_contains"}]},"has_accepted_license":"1","acknowledged_ssus":[{"_id":"ScienComp"},{"_id":"PreCl"},{"_id":"LifeSc"},{"_id":"Bio"}],"day":"01","article_type":"original","month":"04","department":[{"_id":"GradSch"},{"_id":"MaJö"}],"external_id":{"isi":["000955258300002"],"pmid":["36959418"]},"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","volume":26,"citation":{"ista":"Gupta D, Mlynarski WF, Sumser AL, Symonova O, Svaton J, Jösch MA. 2023. Panoramic visual statistics shape retina-wide organization of receptive fields. Nature Neuroscience. 26, 606–614.","apa":"Gupta, D., Mlynarski, W. F., Sumser, A. L., Symonova, O., Svaton, J., &#38; Jösch, M. A. (2023). Panoramic visual statistics shape retina-wide organization of receptive fields. <i>Nature Neuroscience</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s41593-023-01280-0\">https://doi.org/10.1038/s41593-023-01280-0</a>","ama":"Gupta D, Mlynarski WF, Sumser AL, Symonova O, Svaton J, Jösch MA. Panoramic visual statistics shape retina-wide organization of receptive fields. <i>Nature Neuroscience</i>. 2023;26:606-614. doi:<a href=\"https://doi.org/10.1038/s41593-023-01280-0\">10.1038/s41593-023-01280-0</a>","ieee":"D. Gupta, W. F. Mlynarski, A. L. Sumser, O. Symonova, J. Svaton, and M. A. Jösch, “Panoramic visual statistics shape retina-wide organization of receptive fields,” <i>Nature Neuroscience</i>, vol. 26. Springer Nature, pp. 606–614, 2023.","chicago":"Gupta, Divyansh, Wiktor F Mlynarski, Anton L Sumser, Olga Symonova, Jan Svaton, and Maximilian A Jösch. “Panoramic Visual Statistics Shape Retina-Wide Organization of Receptive Fields.” <i>Nature Neuroscience</i>. Springer Nature, 2023. <a href=\"https://doi.org/10.1038/s41593-023-01280-0\">https://doi.org/10.1038/s41593-023-01280-0</a>.","short":"D. Gupta, W.F. Mlynarski, A.L. Sumser, O. Symonova, J. Svaton, M.A. Jösch, Nature Neuroscience 26 (2023) 606–614.","mla":"Gupta, Divyansh, et al. “Panoramic Visual Statistics Shape Retina-Wide Organization of Receptive Fields.” <i>Nature Neuroscience</i>, vol. 26, Springer Nature, 2023, pp. 606–14, doi:<a href=\"https://doi.org/10.1038/s41593-023-01280-0\">10.1038/s41593-023-01280-0</a>."},"isi":1,"author":[{"id":"2A485EBE-F248-11E8-B48F-1D18A9856A87","full_name":"Gupta, Divyansh","orcid":"0000-0001-7400-6665","first_name":"Divyansh","last_name":"Gupta"},{"full_name":"Mlynarski, Wiktor F","id":"358A453A-F248-11E8-B48F-1D18A9856A87","last_name":"Mlynarski","first_name":"Wiktor F"},{"full_name":"Sumser, Anton L","id":"3320A096-F248-11E8-B48F-1D18A9856A87","last_name":"Sumser","first_name":"Anton L","orcid":"0000-0002-4792-1881"},{"first_name":"Olga","orcid":"0000-0003-2012-9947","last_name":"Symonova","id":"3C0C7BC6-F248-11E8-B48F-1D18A9856A87","full_name":"Symonova, Olga"},{"id":"f7f724c3-9d6f-11ed-9f44-e5c5f3a5bee2","full_name":"Svaton, Jan","orcid":"0000-0002-6198-2939","first_name":"Jan","last_name":"Svaton"},{"first_name":"Maximilian A","orcid":"0000-0002-3937-1330","last_name":"Jösch","id":"2BD278E6-F248-11E8-B48F-1D18A9856A87","full_name":"Jösch, Maximilian A"}],"project":[{"_id":"2564DBCA-B435-11E9-9278-68D0E5697425","name":"International IST Doctoral Program","grant_number":"665385","call_identifier":"H2020"},{"_id":"626c45b5-2b32-11ec-9570-e509828c1ba6","grant_number":"P34015","name":"Efficient coding with biophysical realism"},{"_id":"2634E9D2-B435-11E9-9278-68D0E5697425","grant_number":"756502","name":"Circuits of Visual Attention","call_identifier":"H2020"},{"_id":"266D407A-B435-11E9-9278-68D0E5697425","grant_number":"LT000256","name":"Neuronal networks of salience and spatial detection in the murine superior colliculus"},{"_id":"264FEA02-B435-11E9-9278-68D0E5697425","name":"Connecting sensory with motor processing in the superior colliculus","grant_number":"ALTF 1098-2017"}],"quality_controlled":"1","year":"2023","oa_version":"Published Version","file_date_updated":"2023-10-04T11:40:51Z"},{"isi":1,"author":[{"last_name":"Colombo","orcid":"0000-0001-9434-8902","first_name":"Gloria","full_name":"Colombo, Gloria","id":"3483CF6C-F248-11E8-B48F-1D18A9856A87"},{"orcid":"0000-0003-0002-1867","first_name":"Ryan J","last_name":"Cubero","id":"850B2E12-9CD4-11E9-837F-E719E6697425","full_name":"Cubero, Ryan J"},{"full_name":"Kanari, Lida","first_name":"Lida","last_name":"Kanari"},{"full_name":"Venturino, Alessandro","id":"41CB84B2-F248-11E8-B48F-1D18A9856A87","last_name":"Venturino","orcid":"0000-0003-2356-9403","first_name":"Alessandro"},{"last_name":"Schulz","first_name":"Rouven","orcid":"0000-0001-5297-733X","full_name":"Schulz, Rouven","id":"4C5E7B96-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Scolamiero, Martina","first_name":"Martina","last_name":"Scolamiero"},{"full_name":"Agerberg, Jens","first_name":"Jens","last_name":"Agerberg"},{"last_name":"Mathys","first_name":"Hansruedi","full_name":"Mathys, Hansruedi"},{"full_name":"Tsai, Li-Huei","last_name":"Tsai","first_name":"Li-Huei"},{"full_name":"Chachólski, Wojciech","last_name":"Chachólski","first_name":"Wojciech"},{"full_name":"Hess, Kathryn","last_name":"Hess","first_name":"Kathryn"},{"first_name":"Sandra","orcid":"0000-0001-8635-0877","last_name":"Siegert","id":"36ACD32E-F248-11E8-B48F-1D18A9856A87","full_name":"Siegert, Sandra"}],"project":[{"name":"ISTplus - Postdoctoral Fellowships","grant_number":"754411","_id":"260C2330-B435-11E9-9278-68D0E5697425","call_identifier":"H2020"},{"_id":"25D4A630-B435-11E9-9278-68D0E5697425","name":"Microglia action towards neuronal circuit formation and function in health and disease","grant_number":"715571","call_identifier":"H2020"}],"quality_controlled":"1","year":"2022","oa_version":"Published Version","file_date_updated":"2023-01-30T08:06:56Z","status":"public","file":[{"date_updated":"2023-01-30T08:06:56Z","date_created":"2023-01-30T08:06:56Z","content_type":"application/pdf","file_size":23789835,"access_level":"open_access","checksum":"28431146873096f52e0107b534f178c9","file_id":"12437","file_name":"2022_NatureNeuroscience_Colombo.pdf","creator":"dernst","success":1,"relation":"main_file"}],"scopus_import":"1","publisher":"Springer Nature","ec_funded":1,"tmp":{"short":"CC BY (4.0)","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png"},"related_material":{"link":[{"relation":"press_release","url":"https://ista.ac.at/en/news/morphomics-revealing-the-hidden-meaning-of-microglia-shape/","description":"News on ISTA website"}],"record":[{"status":"public","relation":"dissertation_contains","id":"12378"}]},"acknowledged_ssus":[{"_id":"PreCl"},{"_id":"Bio"},{"_id":"ScienComp"}],"has_accepted_license":"1","day":"01","article_type":"original","month":"10","department":[{"_id":"SaSi"}],"external_id":{"isi":["000862214700001"],"pmid":["36180790"]},"user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","volume":25,"citation":{"ista":"Colombo G, Cubero RJ, Kanari L, Venturino A, Schulz R, Scolamiero M, Agerberg J, Mathys H, Tsai L-H, Chachólski W, Hess K, Siegert S. 2022. A tool for mapping microglial morphology, morphOMICs, reveals brain-region and sex-dependent phenotypes. Nature Neuroscience. 25(10), 1379–1393.","ieee":"G. Colombo <i>et al.</i>, “A tool for mapping microglial morphology, morphOMICs, reveals brain-region and sex-dependent phenotypes,” <i>Nature Neuroscience</i>, vol. 25, no. 10. Springer Nature, pp. 1379–1393, 2022.","ama":"Colombo G, Cubero RJ, Kanari L, et al. A tool for mapping microglial morphology, morphOMICs, reveals brain-region and sex-dependent phenotypes. <i>Nature Neuroscience</i>. 2022;25(10):1379-1393. doi:<a href=\"https://doi.org/10.1038/s41593-022-01167-6\">10.1038/s41593-022-01167-6</a>","chicago":"Colombo, Gloria, Ryan J Cubero, Lida Kanari, Alessandro Venturino, Rouven Schulz, Martina Scolamiero, Jens Agerberg, et al. “A Tool for Mapping Microglial Morphology, MorphOMICs, Reveals Brain-Region and Sex-Dependent Phenotypes.” <i>Nature Neuroscience</i>. Springer Nature, 2022. <a href=\"https://doi.org/10.1038/s41593-022-01167-6\">https://doi.org/10.1038/s41593-022-01167-6</a>.","apa":"Colombo, G., Cubero, R. J., Kanari, L., Venturino, A., Schulz, R., Scolamiero, M., … Siegert, S. (2022). A tool for mapping microglial morphology, morphOMICs, reveals brain-region and sex-dependent phenotypes. <i>Nature Neuroscience</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s41593-022-01167-6\">https://doi.org/10.1038/s41593-022-01167-6</a>","short":"G. Colombo, R.J. Cubero, L. Kanari, A. Venturino, R. Schulz, M. Scolamiero, J. Agerberg, H. Mathys, L.-H. Tsai, W. Chachólski, K. Hess, S. Siegert, Nature Neuroscience 25 (2022) 1379–1393.","mla":"Colombo, Gloria, et al. “A Tool for Mapping Microglial Morphology, MorphOMICs, Reveals Brain-Region and Sex-Dependent Phenotypes.” <i>Nature Neuroscience</i>, vol. 25, no. 10, Springer Nature, 2022, pp. 1379–93, doi:<a href=\"https://doi.org/10.1038/s41593-022-01167-6\">10.1038/s41593-022-01167-6</a>."},"page":"1379-1393","date_created":"2023-01-16T09:53:07Z","type":"journal_article","article_processing_charge":"No","ddc":["570"],"_id":"12244","corr_author":"1","intvolume":"        25","issue":"10","publication_identifier":{"eissn":["1546-1726"],"issn":["1097-6256"]},"doi":"10.1038/s41593-022-01167-6","date_updated":"2026-08-13T22:30:08Z","title":"A tool for mapping microglial morphology, morphOMICs, reveals brain-region and sex-dependent phenotypes","date_published":"2022-10-01T00:00:00Z","abstract":[{"text":"Environmental cues influence the highly dynamic morphology of microglia. Strategies to characterize these changes usually involve user-selected morphometric features, which preclude the identification of a spectrum of context-dependent morphological phenotypes. Here we develop MorphOMICs, a topological data analysis approach, which enables semiautomatic mapping of microglial morphology into an atlas of cue-dependent phenotypes and overcomes feature-selection biases and biological variability. We extract spatially heterogeneous and sexually dimorphic morphological phenotypes for seven adult mouse brain regions. This sex-specific phenotype declines with maturation but increases over the disease trajectories in two neurodegeneration mouse models, with females showing a faster morphological shift in affected brain regions. Remarkably, microglia morphologies reflect an adaptation upon repeated exposure to ketamine anesthesia and do not recover to control morphologies. Finally, we demonstrate that both long primary processes and short terminal processes provide distinct insights to morphological phenotypes. MorphOMICs opens a new perspective to characterize microglial morphology.","lang":"eng"}],"acknowledgement":"We thank the scientific service units at ISTA, in particular M. Schunn’s team at the preclinical facility, and especially our colony manager S. Haslinger, for excellent support. We are also grateful to the ISTA Imaging & Optics Facility, and in particular C. Sommer for helping with the data file conversions. We thank R. Erhart from the ISTA Scientific Computing Unit for improving the script performance. We thank M. Maes, B. Nagy, S. Oakeley and M. Benevento and all members of the Siegert group for constant feedback on the project and on the manuscript. This research was supported by the European Union Horizon 2020 research and innovation program under the Marie Skłodowska-Curie Actions program (754411 to R.J.A.C.), and by the European Research Council (grant no. 715571 to S.S.). L.K. was supported by funding to the Blue Brain Project, a research center of the École polytechnique fédérale de Lausanne, from the Swiss government’s ETH Board of the Swiss Federal Institutes of Technology. L.-H.T. was supported by NIH (grant no. R37NS051874) and by the JPB Foundation. The funders had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript.","keyword":["General Neuroscience"],"pmid":1,"oa":1,"publication":"Nature Neuroscience","publication_status":"published","language":[{"iso":"eng"}]},{"date_published":"2021-05-20T00:00:00Z","title":"Efficient and adaptive sensory codes","abstract":[{"lang":"eng","text":"The ability to adapt to changes in stimulus statistics is a hallmark of sensory systems. Here, we developed a theoretical framework that can account for the dynamics of adaptation from an information processing perspective. We use this framework to optimize and analyze adaptive sensory codes, and we show that codes optimized for stationary environments can suffer from prolonged periods of poor performance when the environment changes. To mitigate the adversarial effects of these environmental changes, sensory systems must navigate tradeoffs between the ability to accurately encode incoming stimuli and the ability to rapidly detect and adapt to changes in the distribution of these stimuli. We derive families of codes that balance these objectives, and we demonstrate their close match to experimentally observed neural dynamics during mean and variance adaptation. Our results provide a unifying perspective on adaptation across a range of sensory systems, environments, and sensory tasks."}],"doi":"10.1038/s41593-021-00846-0","publication_identifier":{"eissn":["1546-1726"],"issn":["1097-6256"]},"date_updated":"2025-06-12T06:41:38Z","publication":"Nature Neuroscience","publication_status":"published","oa":1,"language":[{"iso":"eng"}],"acknowledgement":"We thank D. Kastner and T. Münch for generously providing figures from their work. We also thank V. Jayaraman, M. Noorman, T. Ma, and K. Krishnamurthy for useful discussions and feedback on the manuscript. W.F.M. was funded by the European Union’s Horizon 2020 Research and Innovation Programme under Marie Skłodowska-Curie Grant Agreement No. 754411. A.M.H. was supported by the Howard Hughes Medical Institute.","main_file_link":[{"url":"https://doi.org/10.1101/669200 ","open_access":"1"}],"pmid":1,"article_processing_charge":"No","_id":"9439","date_created":"2021-05-30T22:01:24Z","page":"998-1009","type":"journal_article","intvolume":"        24","article_type":"original","day":"20","scopus_import":"1","ec_funded":1,"status":"public","publisher":"Springer Nature","citation":{"mla":"Mlynarski, Wiktor F., and Ann M. Hermundstad. “Efficient and Adaptive Sensory Codes.” <i>Nature Neuroscience</i>, vol. 24, Springer Nature, 2021, pp. 998–1009, doi:<a href=\"https://doi.org/10.1038/s41593-021-00846-0\">10.1038/s41593-021-00846-0</a>.","short":"W.F. Mlynarski, A.M. Hermundstad, Nature Neuroscience 24 (2021) 998–1009.","apa":"Mlynarski, W. F., &#38; Hermundstad, A. M. (2021). Efficient and adaptive sensory codes. <i>Nature Neuroscience</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s41593-021-00846-0\">https://doi.org/10.1038/s41593-021-00846-0</a>","ama":"Mlynarski WF, Hermundstad AM. Efficient and adaptive sensory codes. <i>Nature Neuroscience</i>. 2021;24:998-1009. doi:<a href=\"https://doi.org/10.1038/s41593-021-00846-0\">10.1038/s41593-021-00846-0</a>","chicago":"Mlynarski, Wiktor F, and Ann M. Hermundstad. “Efficient and Adaptive Sensory Codes.” <i>Nature Neuroscience</i>. Springer Nature, 2021. <a href=\"https://doi.org/10.1038/s41593-021-00846-0\">https://doi.org/10.1038/s41593-021-00846-0</a>.","ieee":"W. F. Mlynarski and A. M. Hermundstad, “Efficient and adaptive sensory codes,” <i>Nature Neuroscience</i>, vol. 24. Springer Nature, pp. 998–1009, 2021.","ista":"Mlynarski WF, Hermundstad AM. 2021. Efficient and adaptive sensory codes. Nature Neuroscience. 24, 998–1009."},"department":[{"_id":"GaTk"}],"month":"05","volume":24,"external_id":{"isi":["000652577300003"],"pmid":["34017131"]},"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","author":[{"id":"358A453A-F248-11E8-B48F-1D18A9856A87","full_name":"Mlynarski, Wiktor F","first_name":"Wiktor F","last_name":"Mlynarski"},{"last_name":"Hermundstad","first_name":"Ann M.","full_name":"Hermundstad, Ann M."}],"project":[{"call_identifier":"H2020","_id":"260C2330-B435-11E9-9278-68D0E5697425","grant_number":"754411","name":"ISTplus - Postdoctoral Fellowships"}],"isi":1,"year":"2021","oa_version":"Preprint","quality_controlled":"1"},{"publication_identifier":{"issn":["1097-6256"],"eissn":["1546-1726"]},"doi":"10.1038/s41593-021-00906-5","date_updated":"2025-07-09T09:00:12Z","title":"Identification of neural oscillations and epileptiform changes in human brain organoids","date_published":"2021-08-23T00:00:00Z","abstract":[{"text":"Human brain organoids represent a powerful tool for the study of human neurological diseases particularly those that impact brain growth and structure. However, many neurological diseases lack obvious anatomical abnormalities, yet significantly impact neural network functions, raising the question of whether organoids possess sufficient neural network architecture and complexity to model these conditions. Here, we explore the network level functions of brain organoids using calcium sensor imaging and extracellular recording approaches that together reveal the existence of complex oscillatory network behaviors reminiscent of intact brain preparations. We further demonstrate strikingly abnormal epileptiform network activity in organoids derived from a Rett Syndrome patient despite only modest anatomical differences from isogenically matched controls, and rescue with an unconventional neuromodulatory drug Pifithrin-α. Together, these findings provide an essential foundation for the utilization of human brain organoids to study intact and disordered human brain network formation and illustrate their utility in therapeutic discovery.","lang":"eng"}],"acknowledgement":"We thank S. Butler, T. Carmichael and members of the laboratory of B.G.N. for helpful discussions and comments on the manuscript; N. Vishlaghi and F. Turcios-Hernandez for technical assistance, and J. Lee, S.-K. Lee, H. Shinagawa and K. Yoshikawa for valuable reagents. We also thank the UCLA Eli and Edythe Broad Stem Cell Research Center (BSCRC) and Intellectual and Developmental Disabilities Research Center microscopy cores for access to imaging facilities. This work was supported by grants from the California Institute for Regenerative Medicine (CIRM) (DISC1-08819 to B.G.N.), the National Institute of Health (R01NS089817, R01DA051897 and P50HD103557 to B.G.N.; K08NS119747 to R.A.S.; K99HD096105 to M.W.; R01MH123922, R01MH121521 and P50HD103557 to M.J.G.; R01GM099134 to K.P.; R01NS103788 to W.E.L.; R01NS088571 to J.M.P.; R01NS030549 and R01AG050474 to I.M.), and research awards from the UCLA Jonsson Comprehensive Cancer Center and BSCRC Ablon Scholars Program (to B.G.N.), the BSCRC Innovation Program (to B.G.N., K.P. and W.E.L.), the UCLA BSCRC Steffy Brain Aging Research Fund (to B.G.N. and W.E.L.) and the UCLA Clinical and Translational Science Institute (to B.G.N.), Paul Allen Family Foundation Frontiers Group (to K.P. and W.E.L.), the March of Dimes Foundation (to W.E.L.) and the Simons Foundation Autism Research Initiative Bridge to Independence Program (to R.A.S. and M.J.G.). R.A.S. was also supported by the UCLA/NINDS Translational Neuroscience Training Grant (R25NS065723), a Research and Training Fellowship from the American Epilepsy Society, a Taking Flight Award from CURE Epilepsy and a Clinician Scientist training award from the UCLA BSCRC. J.E.B. was supported by the UCLA BSCRC Rose Hills Foundation Graduate Scholarship Training Program. M.W. was supported by postdoctoral training awards provided by the UCLA BSCRC and the Uehara Memorial Foundation. O.A.M. and A.K. were supported in part by the UCLA-California State University Northridge CIRM-Bridges training program (EDUC2-08411). We also acknowledge the support of the IDDRC Cells, Circuits and Systems Analysis, Microscopy and Genetics and Genomics Cores of the Semel Institute of Neuroscience at UCLA, which are supported by the NICHD (U54HD087101 and P50HD10355701). We lastly acknowledge support from a Quantitative and Computational Biosciences Collaboratory Postdoctoral Fellowship to S.M. and the Quantitative and Computational Biosciences Collaboratory community, directed by M. Pellegrini.","main_file_link":[{"url":"https://doi.org/10.1101/820183","open_access":"1"}],"pmid":1,"oa":1,"publication_status":"published","publication":"Nature Neuroscience","OA_place":"publisher","language":[{"iso":"eng"}],"page":"32","date_created":"2019-11-10T11:23:58Z","type":"journal_article","article_processing_charge":"No","_id":"6995","intvolume":"        24","scopus_import":"1","status":"public","publisher":"Springer Nature","day":"23","article_type":"review","month":"08","department":[{"_id":"GradSch"},{"_id":"SiHi"}],"volume":24,"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","external_id":{"isi":["000687516300001"],"pmid":["34426698 "]},"citation":{"ista":"Samarasinghe RA, Miranda O, Buth JE, Mitchell S, Ferando I, Watanabe M, Kurdian A, Golshani P, Plath K, Lowry WE, Parent JM, Mody I, Novitch BG. 2021. Identification of neural oscillations and epileptiform changes in human brain organoids. Nature Neuroscience. 24, 32.","ama":"Samarasinghe RA, Miranda O, Buth JE, et al. Identification of neural oscillations and epileptiform changes in human brain organoids. <i>Nature Neuroscience</i>. 2021;24:32. doi:<a href=\"https://doi.org/10.1038/s41593-021-00906-5\">10.1038/s41593-021-00906-5</a>","chicago":"Samarasinghe, Ranmal A., Osvaldo Miranda, Jessie E. Buth, Simon Mitchell, Isabella Ferando, Momoko Watanabe, Arinnae Kurdian, et al. “Identification of Neural Oscillations and Epileptiform Changes in Human Brain Organoids.” <i>Nature Neuroscience</i>. Springer Nature, 2021. <a href=\"https://doi.org/10.1038/s41593-021-00906-5\">https://doi.org/10.1038/s41593-021-00906-5</a>.","ieee":"R. A. Samarasinghe <i>et al.</i>, “Identification of neural oscillations and epileptiform changes in human brain organoids,” <i>Nature Neuroscience</i>, vol. 24. Springer Nature, p. 32, 2021.","apa":"Samarasinghe, R. A., Miranda, O., Buth, J. E., Mitchell, S., Ferando, I., Watanabe, M., … Novitch, B. G. (2021). Identification of neural oscillations and epileptiform changes in human brain organoids. <i>Nature Neuroscience</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s41593-021-00906-5\">https://doi.org/10.1038/s41593-021-00906-5</a>","short":"R.A. Samarasinghe, O. Miranda, J.E. Buth, S. Mitchell, I. Ferando, M. Watanabe, A. Kurdian, P. Golshani, K. Plath, W.E. Lowry, J.M. Parent, I. Mody, B.G. Novitch, Nature Neuroscience 24 (2021) 32.","mla":"Samarasinghe, Ranmal A., et al. “Identification of Neural Oscillations and Epileptiform Changes in Human Brain Organoids.” <i>Nature Neuroscience</i>, vol. 24, Springer Nature, 2021, p. 32, doi:<a href=\"https://doi.org/10.1038/s41593-021-00906-5\">10.1038/s41593-021-00906-5</a>."},"isi":1,"author":[{"first_name":"Ranmal A.","last_name":"Samarasinghe","full_name":"Samarasinghe, Ranmal A."},{"id":"862A3C56-A8BF-11E9-B4FA-D9E3E5697425","full_name":"Miranda, Osvaldo","orcid":"0000-0001-6618-6889","first_name":"Osvaldo","last_name":"Miranda"},{"last_name":"Buth","first_name":"Jessie E.","full_name":"Buth, Jessie E."},{"first_name":"Simon","last_name":"Mitchell","full_name":"Mitchell, Simon"},{"last_name":"Ferando","first_name":"Isabella","full_name":"Ferando, Isabella"},{"full_name":"Watanabe, Momoko","last_name":"Watanabe","first_name":"Momoko"},{"full_name":"Kurdian, Arinnae","first_name":"Arinnae","last_name":"Kurdian"},{"last_name":"Golshani","first_name":"Peyman","full_name":"Golshani, Peyman"},{"last_name":"Plath","first_name":"Kathrin","full_name":"Plath, Kathrin"},{"full_name":"Lowry, William E.","last_name":"Lowry","first_name":"William E."},{"full_name":"Parent, Jack M.","last_name":"Parent","first_name":"Jack M."},{"full_name":"Mody, Istvan","last_name":"Mody","first_name":"Istvan"},{"full_name":"Novitch, Bennett G.","first_name":"Bennett G.","last_name":"Novitch"}],"quality_controlled":"1","OA_type":"green","year":"2021","oa_version":"Preprint"},{"author":[{"full_name":"Stroud, Jake P.","last_name":"Stroud","first_name":"Jake P."},{"last_name":"Porter","first_name":"Mason A.","full_name":"Porter, Mason A."},{"full_name":"Hennequin, Guillaume","first_name":"Guillaume","last_name":"Hennequin"},{"first_name":"Tim P","orcid":"0000-0003-3295-6181","last_name":"Vogels","id":"CB6FF8D2-008F-11EA-8E08-2637E6697425","full_name":"Vogels, Tim P"}],"year":"2018","oa_version":"Submitted Version","quality_controlled":"1","article_type":"original","day":"01","related_material":{"link":[{"relation":"erratum","url":"https://doi.org/10.1038/s41593-018-0307-x"}]},"status":"public","publisher":"Springer Nature","citation":{"ieee":"J. P. Stroud, M. A. Porter, G. Hennequin, and T. P. Vogels, “Motor primitives in space and time via targeted gain modulation in cortical networks,” <i>Nature Neuroscience</i>, vol. 21, no. 12. Springer Nature, pp. 1774–1783, 2018.","chicago":"Stroud, Jake P., Mason A. Porter, Guillaume Hennequin, and Tim P Vogels. “Motor Primitives in Space and Time via Targeted Gain Modulation in Cortical Networks.” <i>Nature Neuroscience</i>. Springer Nature, 2018. <a href=\"https://doi.org/10.1038/s41593-018-0276-0\">https://doi.org/10.1038/s41593-018-0276-0</a>.","ama":"Stroud JP, Porter MA, Hennequin G, Vogels TP. Motor primitives in space and time via targeted gain modulation in cortical networks. <i>Nature Neuroscience</i>. 2018;21(12):1774-1783. doi:<a href=\"https://doi.org/10.1038/s41593-018-0276-0\">10.1038/s41593-018-0276-0</a>","apa":"Stroud, J. P., Porter, M. A., Hennequin, G., &#38; Vogels, T. P. (2018). Motor primitives in space and time via targeted gain modulation in cortical networks. <i>Nature Neuroscience</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s41593-018-0276-0\">https://doi.org/10.1038/s41593-018-0276-0</a>","ista":"Stroud JP, Porter MA, Hennequin G, Vogels TP. 2018. Motor primitives in space and time via targeted gain modulation in cortical networks. Nature Neuroscience. 21(12), 1774–1783.","mla":"Stroud, Jake P., et al. “Motor Primitives in Space and Time via Targeted Gain Modulation in Cortical Networks.” <i>Nature Neuroscience</i>, vol. 21, no. 12, Springer Nature, 2018, pp. 1774–83, doi:<a href=\"https://doi.org/10.1038/s41593-018-0276-0\">10.1038/s41593-018-0276-0</a>.","short":"J.P. Stroud, M.A. Porter, G. Hennequin, T.P. Vogels, Nature Neuroscience 21 (2018) 1774–1783."},"month":"12","user_id":"D865714E-FA4E-11E9-B85B-F5C5E5697425","volume":21,"external_id":{"pmid":["30482949"]},"article_processing_charge":"No","_id":"8073","date_created":"2020-06-30T13:18:02Z","page":"1774-1783","type":"journal_article","issue":"12","intvolume":"        21","date_published":"2018-12-01T00:00:00Z","title":"Motor primitives in space and time via targeted gain modulation in cortical networks","abstract":[{"lang":"eng","text":"Motor cortex (M1) exhibits a rich repertoire of neuronal activities to support the generation of complex movements. Although recent neuronal-network models capture many qualitative aspects of M1 dynamics, they can generate only a few distinct movements. Additionally, it is unclear how M1 efficiently controls movements over a wide range of shapes and speeds. We demonstrate that modulation of neuronal input–output gains in recurrent neuronal-network models with a fixed architecture can dramatically reorganize neuronal activity and thus downstream muscle outputs. Consistent with the observation of diffuse neuromodulatory projections to M1, a relatively small number of modulatory control units provide sufficient flexibility to adjust high-dimensional network activity using a simple reward-based learning rule. Furthermore, it is possible to assemble novel movements from previously learned primitives, and one can separately change movement speed while preserving movement shape. Our results provide a new perspective on the role of modulatory systems in controlling recurrent cortical activity."}],"doi":"10.1038/s41593-018-0276-0","publication_identifier":{"issn":["1097-6256","1546-1726"]},"date_updated":"2021-01-12T08:16:46Z","publication_status":"published","publication":"Nature Neuroscience","extern":"1","oa":1,"language":[{"iso":"eng"}],"pmid":1,"main_file_link":[{"open_access":"1","url":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6276991/"}]},{"date_updated":"2025-07-10T11:51:42Z","publication_identifier":{"eissn":["1546-1726"],"issn":["1097-6256"]},"doi":"10.1038/nn.4623","abstract":[{"text":"The complex behaviors underlying reward seeking and consumption are integral to organism survival. The hypothalamus and mesolimbic dopamine system are key mediators of these behaviors, yet regulation of appetitive and consummatory behaviors outside of these regions is poorly understood. The central nucleus of the amygdala (CeA) has been implicated in feeding and reward, but the neurons and circuit mechanisms that positively regulate these behaviors remain unclear. Here, we defined the neuronal mechanisms by which CeA neurons promote food consumption. Using in vivo activity manipulations and Ca2+ imaging in mice, we found that GABAergic serotonin receptor 2a (Htr2a)-expressing CeA neurons modulate food consumption, promote positive reinforcement and are active in vivo during eating. We demonstrated electrophysiologically, anatomically and behaviorally that intra-CeA and long-range circuit mechanisms underlie these behaviors. Finally, we showed that CeAHtr2a neurons receive inputs from feeding-relevant brain regions. Our results illustrate how defined CeA neural circuits positively regulate food consumption.","lang":"eng"}],"title":"Central amygdala circuits modulate food consumption through a positive-valence mechanism","date_published":"2017-10-01T00:00:00Z","main_file_link":[{"url":"https://doi.org/10.1101/145375","open_access":"1"}],"pmid":1,"OA_place":"repository","language":[{"iso":"eng"}],"oa":1,"extern":"1","publication_status":"published","publication":"Nature Neuroscience","type":"journal_article","page":"1384-1394","date_created":"2025-04-03T12:30:57Z","_id":"19474","article_processing_charge":"No","intvolume":"        20","issue":"10","publisher":"Springer Nature","scopus_import":"1","status":"public","article_type":"original","day":"01","volume":20,"external_id":{"pmid":["28825719 "]},"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","month":"10","citation":{"mla":"Douglass, Amelia M., et al. “Central Amygdala Circuits Modulate Food Consumption through a Positive-Valence Mechanism.” <i>Nature Neuroscience</i>, vol. 20, no. 10, Springer Nature, 2017, pp. 1384–94, doi:<a href=\"https://doi.org/10.1038/nn.4623\">10.1038/nn.4623</a>.","short":"A.M. Douglass, H. Kucukdereli, M. Ponserre, M. Markovic, J. Gründemann, C. Strobel, P.L. Alcala Morales, K.-K. Conzelmann, A. Lüthi, R. Klein, Nature Neuroscience 20 (2017) 1384–1394.","apa":"Douglass, A. M., Kucukdereli, H., Ponserre, M., Markovic, M., Gründemann, J., Strobel, C., … Klein, R. (2017). Central amygdala circuits modulate food consumption through a positive-valence mechanism. <i>Nature Neuroscience</i>. Springer Nature. <a href=\"https://doi.org/10.1038/nn.4623\">https://doi.org/10.1038/nn.4623</a>","chicago":"Douglass, Amelia M., Hakan Kucukdereli, Marion Ponserre, Milica Markovic, Jan Gründemann, Cornelia Strobel, Pilar L Alcala Morales, Karl-Klaus Conzelmann, Andreas Lüthi, and Rüdiger Klein. “Central Amygdala Circuits Modulate Food Consumption through a Positive-Valence Mechanism.” <i>Nature Neuroscience</i>. Springer Nature, 2017. <a href=\"https://doi.org/10.1038/nn.4623\">https://doi.org/10.1038/nn.4623</a>.","ieee":"A. M. Douglass <i>et al.</i>, “Central amygdala circuits modulate food consumption through a positive-valence mechanism,” <i>Nature Neuroscience</i>, vol. 20, no. 10. Springer Nature, pp. 1384–1394, 2017.","ama":"Douglass AM, Kucukdereli H, Ponserre M, et al. Central amygdala circuits modulate food consumption through a positive-valence mechanism. <i>Nature Neuroscience</i>. 2017;20(10):1384-1394. doi:<a href=\"https://doi.org/10.1038/nn.4623\">10.1038/nn.4623</a>","ista":"Douglass AM, Kucukdereli H, Ponserre M, Markovic M, Gründemann J, Strobel C, Alcala Morales PL, Conzelmann K-K, Lüthi A, Klein R. 2017. Central amygdala circuits modulate food consumption through a positive-valence mechanism. Nature Neuroscience. 20(10), 1384–1394."},"author":[{"id":"de5f6fda-80fb-11ef-996f-a8c4ecd8e289","full_name":"Douglass, Amelia May Barnett","orcid":"0000-0001-5398-6473","first_name":"Amelia May Barnett","last_name":"Douglass"},{"last_name":"Kucukdereli","first_name":"Hakan","full_name":"Kucukdereli, Hakan"},{"last_name":"Ponserre","first_name":"Marion","full_name":"Ponserre, Marion"},{"first_name":"Milica","last_name":"Markovic","full_name":"Markovic, Milica"},{"last_name":"Gründemann","first_name":"Jan","full_name":"Gründemann, Jan"},{"full_name":"Strobel, Cornelia","first_name":"Cornelia","last_name":"Strobel"},{"full_name":"Alcala Morales, Pilar L","last_name":"Alcala Morales","first_name":"Pilar L"},{"full_name":"Conzelmann, Karl-Klaus","last_name":"Conzelmann","first_name":"Karl-Klaus"},{"full_name":"Lüthi, Andreas","last_name":"Lüthi","first_name":"Andreas"},{"full_name":"Klein, Rüdiger","first_name":"Rüdiger","last_name":"Klein"}],"quality_controlled":"1","oa_version":"Preprint","OA_type":"green","year":"2017"},{"article_type":"original","day":"01","scopus_import":"1","status":"public","publisher":"Springer Nature","related_material":{"link":[{"url":"https://doi.org/10.1038/nn0816-1115c","relation":"erratum"}]},"publist_id":"5308","citation":{"ista":"Siegert S, Seo J, Kwon E, Rudenko A, Cho S, Wang W, Flood Z, Martorell A, Ericsson M, Mungenast A, Tsai L. 2015. The schizophrenia risk gene product miR-137 alters presynaptic plasticity. Nature Neuroscience. 18, 1008–1016.","apa":"Siegert, S., Seo, J., Kwon, E., Rudenko, A., Cho, S., Wang, W., … Tsai, L. (2015). The schizophrenia risk gene product miR-137 alters presynaptic plasticity. <i>Nature Neuroscience</i>. Springer Nature. <a href=\"https://doi.org/10.1038/nn.4023\">https://doi.org/10.1038/nn.4023</a>","chicago":"Siegert, Sandra, Jinsoo Seo, Ester Kwon, Andrii Rudenko, Sukhee Cho, Wenyuan Wang, Zachary Flood, et al. “The Schizophrenia Risk Gene Product MiR-137 Alters Presynaptic Plasticity.” <i>Nature Neuroscience</i>. Springer Nature, 2015. <a href=\"https://doi.org/10.1038/nn.4023\">https://doi.org/10.1038/nn.4023</a>.","ama":"Siegert S, Seo J, Kwon E, et al. The schizophrenia risk gene product miR-137 alters presynaptic plasticity. <i>Nature Neuroscience</i>. 2015;18:1008-1016. doi:<a href=\"https://doi.org/10.1038/nn.4023\">10.1038/nn.4023</a>","ieee":"S. Siegert <i>et al.</i>, “The schizophrenia risk gene product miR-137 alters presynaptic plasticity,” <i>Nature Neuroscience</i>, vol. 18. Springer Nature, pp. 1008–1016, 2015.","short":"S. Siegert, J. Seo, E. Kwon, A. Rudenko, S. Cho, W. Wang, Z. Flood, A. Martorell, M. Ericsson, A. Mungenast, L. Tsai, Nature Neuroscience 18 (2015) 1008–1016.","mla":"Siegert, Sandra, et al. “The Schizophrenia Risk Gene Product MiR-137 Alters Presynaptic Plasticity.” <i>Nature Neuroscience</i>, vol. 18, Springer Nature, 2015, pp. 1008–16, doi:<a href=\"https://doi.org/10.1038/nn.4023\">10.1038/nn.4023</a>."},"volume":18,"external_id":{"pmid":[" 26005852"]},"user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","month":"07","author":[{"id":"36ACD32E-F248-11E8-B48F-1D18A9856A87","full_name":"Siegert, Sandra","first_name":"Sandra","orcid":"0000-0001-8635-0877","last_name":"Siegert"},{"last_name":"Seo","first_name":"Jinsoo","full_name":"Seo, Jinsoo"},{"full_name":"Kwon, Ester","last_name":"Kwon","first_name":"Ester"},{"full_name":"Rudenko, Andrii","first_name":"Andrii","last_name":"Rudenko"},{"first_name":"Sukhee","last_name":"Cho","full_name":"Cho, Sukhee"},{"full_name":"Wang, Wenyuan","first_name":"Wenyuan","last_name":"Wang"},{"last_name":"Flood","first_name":"Zachary","full_name":"Flood, Zachary"},{"full_name":"Martorell, Anthony","last_name":"Martorell","first_name":"Anthony"},{"full_name":"Ericsson, Maria","first_name":"Maria","last_name":"Ericsson"},{"last_name":"Mungenast","first_name":"Alison","full_name":"Mungenast, Alison"},{"first_name":"Lihuei","last_name":"Tsai","full_name":"Tsai, Lihuei"}],"oa_version":"Accepted Version","OA_type":"green","year":"2015","quality_controlled":"1","abstract":[{"lang":"eng","text":"Noncoding variants in the human MIR137 gene locus increase schizophrenia risk with genome-wide significance. However, the functional consequence of these risk alleles is unknown. Here we examined induced human neurons harboring the minor alleles of four disease-associated single nucleotide polymorphisms in MIR137. We observed increased MIR137 levels compared to those in major allele–carrying cells. microRNA-137 gain of function caused downregulation of the presynaptic target genes complexin-1 (Cplx1), Nsf and synaptotagmin-1 (Syt1), leading to impaired vesicle release. In vivo, miR-137 gain of function resulted in changes in synaptic vesicle pool distribution, impaired induction of mossy fiber long-term potentiation and deficits in hippocampus-dependent learning and memory. By sequestering endogenous miR-137, we were able to ameliorate the synaptic phenotypes. Moreover, reinstatement of Syt1 expression partially restored synaptic plasticity, demonstrating the importance of Syt1 as a miR-137 target. Our data provide new insight into the mechanism by which miR-137 dysregulation can impair synaptic plasticity in the hippocampus."}],"title":"The schizophrenia risk gene product miR-137 alters presynaptic plasticity","date_published":"2015-07-01T00:00:00Z","date_updated":"2026-05-18T12:29:48Z","publication_identifier":{"issn":["1097-6256"],"eissn":["1546-1726"]},"doi":"10.1038/nn.4023","OA_place":"repository","language":[{"iso":"eng"}],"oa":1,"extern":"1","publication_status":"published","publication":"Nature Neuroscience","pmid":1,"main_file_link":[{"open_access":"1","url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC4506960/"}],"acknowledgement":"S.S. was supported by a Human Frontier Science Program (HFSP) long-term postdoctoral fellowship and a Swiss National Science Foundation fellowship for prospective researchers. E.J.K. was supported by a Simons Foundation Postdoctoral Fellowship. A.R. was supported by a NARSAD Young Investigator Award. This work was supported by a Seed Grant from the Simons Center for the Social Brain and US National Institutes of Health grant RO1 MH 091115 to L.-H.T.","_id":"1802","article_processing_charge":"No","type":"journal_article","page":"1008 - 1016","date_created":"2018-12-11T11:54:05Z","intvolume":"        18"},{"date_published":"2014-03-23T00:00:00Z","title":"A supercritical density of Na^+ channels ensures fast signaling in GABAergic interneuron axons","abstract":[{"lang":"eng","text":"Fast-spiking, parvalbumin-expressing GABAergic interneurons, a large proportion of which are basket cells (BCs), have a key role in feedforward and feedback inhibition, gamma oscillations and complex information processing. For these functions, fast propagation of action potentials (APs) from the soma to the presynaptic terminals is important. However, the functional properties of interneuron axons remain elusive. We examined interneuron axons by confocally targeted subcellular patch-clamp recording in rat hippocampal slices. APs were initiated in the proximal axon ∼20 μm from the soma and propagated to the distal axon with high reliability and speed. Subcellular mapping revealed a stepwise increase of Na^+ conductance density from the soma to the proximal axon, followed by a further gradual increase in the distal axon. Active cable modeling and experiments with partial channel block revealed that low axonal Na^+ conductance density was sufficient for reliability, but high Na^+ density was necessary for both speed of propagation and fast-spiking AP phenotype. Our results suggest that a supercritical density of Na^+ channels compensates for the morphological properties of interneuron axons (small segmental diameter, extensive branching and high bouton density), ensuring fast AP propagation and high-frequency repetitive firing."}],"doi":"10.1038/nn.3678","publication_identifier":{"issn":["1097-6256"]},"date_updated":"2025-09-29T11:25:07Z","publication_status":"published","publication":"Nature Neuroscience","oa":1,"language":[{"iso":"eng"}],"main_file_link":[{"open_access":"1","url":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4286295/"}],"article_processing_charge":"No","_id":"2228","date_created":"2018-12-11T11:56:26Z","page":"686-693","type":"journal_article","issue":"5","corr_author":"1","intvolume":"        17","day":"23","ec_funded":1,"scopus_import":"1","publisher":"Nature Publishing Group","status":"public","citation":{"ista":"Hu H, Jonas PM. 2014. A supercritical density of Na^+ channels ensures fast signaling in GABAergic interneuron axons. Nature Neuroscience. 17(5), 686–693.","apa":"Hu, H., &#38; Jonas, P. M. (2014). A supercritical density of Na^+ channels ensures fast signaling in GABAergic interneuron axons. <i>Nature Neuroscience</i>. Nature Publishing Group. <a href=\"https://doi.org/10.1038/nn.3678\">https://doi.org/10.1038/nn.3678</a>","chicago":"Hu, Hua, and Peter M Jonas. “A Supercritical Density of Na^+ Channels Ensures Fast Signaling in GABAergic Interneuron Axons.” <i>Nature Neuroscience</i>. Nature Publishing Group, 2014. <a href=\"https://doi.org/10.1038/nn.3678\">https://doi.org/10.1038/nn.3678</a>.","ama":"Hu H, Jonas PM. A supercritical density of Na^+ channels ensures fast signaling in GABAergic interneuron axons. <i>Nature Neuroscience</i>. 2014;17(5):686-693. doi:<a href=\"https://doi.org/10.1038/nn.3678\">10.1038/nn.3678</a>","ieee":"H. Hu and P. M. Jonas, “A supercritical density of Na^+ channels ensures fast signaling in GABAergic interneuron axons,” <i>Nature Neuroscience</i>, vol. 17, no. 5. Nature Publishing Group, pp. 686–693, 2014.","short":"H. Hu, P.M. Jonas, Nature Neuroscience 17 (2014) 686–693.","mla":"Hu, Hua, and Peter M. Jonas. “A Supercritical Density of Na^+ Channels Ensures Fast Signaling in GABAergic Interneuron Axons.” <i>Nature Neuroscience</i>, vol. 17, no. 5, Nature Publishing Group, 2014, pp. 686–93, doi:<a href=\"https://doi.org/10.1038/nn.3678\">10.1038/nn.3678</a>."},"publist_id":"4733","department":[{"_id":"PeJo"}],"month":"03","volume":17,"user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","external_id":{"isi":["000335016200012"]},"project":[{"call_identifier":"FP7","_id":"25C0F108-B435-11E9-9278-68D0E5697425","grant_number":"268548","name":"Nanophysiology of fast-spiking, parvalbumin-expressing GABAergic interneurons"},{"_id":"25C26B1E-B435-11E9-9278-68D0E5697425","name":"Mechanisms of transmitter release at GABAergic synapses","grant_number":"P24909-B24","call_identifier":"FWF"}],"author":[{"full_name":"Hu, Hua","id":"4AC0145C-F248-11E8-B48F-1D18A9856A87","last_name":"Hu","first_name":"Hua"},{"last_name":"Jonas","orcid":"0000-0001-5001-4804","first_name":"Peter M","full_name":"Jonas, Peter M","id":"353C1B58-F248-11E8-B48F-1D18A9856A87"}],"isi":1,"year":"2014","oa_version":"Submitted Version","quality_controlled":"1"},{"abstract":[{"text":"Tonic receptors convey stimulus duration and intensity and are implicated in homeostatic control. However, how tonic homeostatic signals are generated and how they reconfigure neural circuits and modify animal behavior is poorly understood. Here we show that Caenorhabditis elegans O2-sensing neurons are tonic receptors that continuously signal ambient [O2] to set the animal's behavioral state. Sustained signaling relied on a Ca2+ relay involving L-type voltage-gated Ca2+ channels, the ryanodine and the inositol-1,4,5-trisphosphate receptors. Tonic activity evoked continuous neuropeptide release, which helps elicit the enduring behavioral state associated with high [O2]. Sustained O2 receptor signaling was propagated to downstream neural circuits, including the hub interneuron RMG. O2 receptors evoked similar locomotory states at particular O2 concentrations, regardless of previous d[O2]/dt. However, a phasic component of the URX receptors' response to high d[O2]/dt, as well as tonic-to-phasic transformations in downstream interneurons, enabled transient reorientation movements shaped by d[O2]/dt. Our results highlight how tonic homeostatic signals can generate both transient and enduring behavioral change.","lang":"eng"}],"date_published":"2012-03-04T00:00:00Z","title":"Tonic signaling from O2 sensors sets neural circuit activity and behavioral state","date_updated":"2021-01-12T08:06:17Z","doi":"10.1038/nn.3061","publication_identifier":{"issn":["1097-6256","1546-1726"]},"language":[{"iso":"eng"}],"publication_status":"published","publication":"Nature Neuroscience","oa":1,"extern":"1","pmid":1,"main_file_link":[{"open_access":"1","url":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3564487/"}],"_id":"6136","type":"journal_article","date_created":"2019-03-20T14:23:30Z","page":"581-591","issue":"4","intvolume":"        15","day":"04","status":"public","publisher":"Springer Nature","citation":{"mla":"Busch, Karl Emanuel, et al. “Tonic Signaling from O2 Sensors Sets Neural Circuit Activity and Behavioral State.” <i>Nature Neuroscience</i>, vol. 15, no. 4, Springer Nature, 2012, pp. 581–91, doi:<a href=\"https://doi.org/10.1038/nn.3061\">10.1038/nn.3061</a>.","short":"K.E. Busch, P. Laurent, Z. Soltesz, R.J. Murphy, O. Faivre, B. Hedwig, M. Thomas, H.L. Smith, M. de Bono, Nature Neuroscience 15 (2012) 581–591.","apa":"Busch, K. E., Laurent, P., Soltesz, Z., Murphy, R. J., Faivre, O., Hedwig, B., … de Bono, M. (2012). Tonic signaling from O2 sensors sets neural circuit activity and behavioral state. <i>Nature Neuroscience</i>. Springer Nature. <a href=\"https://doi.org/10.1038/nn.3061\">https://doi.org/10.1038/nn.3061</a>","chicago":"Busch, Karl Emanuel, Patrick Laurent, Zoltan Soltesz, Robin Joseph Murphy, Olivier Faivre, Berthold Hedwig, Martin Thomas, Heather L Smith, and Mario de Bono. “Tonic Signaling from O2 Sensors Sets Neural Circuit Activity and Behavioral State.” <i>Nature Neuroscience</i>. Springer Nature, 2012. <a href=\"https://doi.org/10.1038/nn.3061\">https://doi.org/10.1038/nn.3061</a>.","ama":"Busch KE, Laurent P, Soltesz Z, et al. Tonic signaling from O2 sensors sets neural circuit activity and behavioral state. <i>Nature Neuroscience</i>. 2012;15(4):581-591. doi:<a href=\"https://doi.org/10.1038/nn.3061\">10.1038/nn.3061</a>","ieee":"K. E. Busch <i>et al.</i>, “Tonic signaling from O2 sensors sets neural circuit activity and behavioral state,” <i>Nature Neuroscience</i>, vol. 15, no. 4. Springer Nature, pp. 581–591, 2012.","ista":"Busch KE, Laurent P, Soltesz Z, Murphy RJ, Faivre O, Hedwig B, Thomas M, Smith HL, de Bono M. 2012. Tonic signaling from O2 sensors sets neural circuit activity and behavioral state. Nature Neuroscience. 15(4), 581–591."},"user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","external_id":{"pmid":["22388961"]},"volume":15,"month":"03","author":[{"full_name":"Busch, Karl Emanuel","last_name":"Busch","first_name":"Karl Emanuel"},{"last_name":"Laurent","first_name":"Patrick","full_name":"Laurent, Patrick"},{"first_name":"Zoltan","last_name":"Soltesz","full_name":"Soltesz, Zoltan"},{"first_name":"Robin Joseph","last_name":"Murphy","full_name":"Murphy, Robin Joseph"},{"first_name":"Olivier","last_name":"Faivre","full_name":"Faivre, Olivier"},{"first_name":"Berthold","last_name":"Hedwig","full_name":"Hedwig, Berthold"},{"first_name":"Martin","last_name":"Thomas","full_name":"Thomas, Martin"},{"last_name":"Smith","first_name":"Heather L","full_name":"Smith, Heather L"},{"first_name":"Mario","orcid":"0000-0001-8347-0443","last_name":"de Bono","id":"4E3FF80E-F248-11E8-B48F-1D18A9856A87","full_name":"de Bono, Mario"}],"oa_version":"Submitted Version","year":"2012","quality_controlled":"1"},{"main_file_link":[{"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2693069/","open_access":"1"}],"pmid":1,"publication_status":"published","publication":"Nature Neuroscience","extern":"1","oa":1,"language":[{"iso":"eng"}],"doi":"10.1038/nn.2276","publication_identifier":{"issn":["1097-6256","1546-1726"]},"date_updated":"2021-01-12T08:16:36Z","date_published":"2009-04-01T00:00:00Z","title":"Gating multiple signals through detailed balance of excitation and inhibition in spiking networks","abstract":[{"lang":"eng","text":"Recent theoretical work has provided a basic understanding of signal propagation in networks of spiking neurons, but mechanisms for gating and controlling these signals have not been investigated previously. Here we introduce an idea for the gating of multiple signals in cortical networks that combines principles of signal propagation with aspects of balanced networks. Specifically, we studied networks in which incoming excitatory signals are normally cancelled by locally evoked inhibition, leaving the targeted layer unresponsive. Transmission can be gated 'on' by modulating excitatory and inhibitory gains to upset this detailed balance. We illustrate gating through detailed balance in large networks of integrate-and-fire neurons. We show successful gating of multiple signals and study failure modes that produce effects reminiscent of clinically observed pathologies. Provided that the individual signals are detectable, detailed balance has a large capacity for gating multiple signals."}],"intvolume":"        12","issue":"4","date_created":"2020-06-25T13:10:55Z","page":"483-491","type":"journal_article","article_processing_charge":"No","_id":"8026","month":"04","user_id":"D865714E-FA4E-11E9-B85B-F5C5E5697425","external_id":{"pmid":["19305402"]},"volume":12,"citation":{"ista":"Vogels TP, Abbott LF. 2009. Gating multiple signals through detailed balance of excitation and inhibition in spiking networks. Nature Neuroscience. 12(4), 483–491.","ama":"Vogels TP, Abbott LF. Gating multiple signals through detailed balance of excitation and inhibition in spiking networks. <i>Nature Neuroscience</i>. 2009;12(4):483-491. doi:<a href=\"https://doi.org/10.1038/nn.2276\">10.1038/nn.2276</a>","chicago":"Vogels, Tim P, and L F Abbott. “Gating Multiple Signals through Detailed Balance of Excitation and Inhibition in Spiking Networks.” <i>Nature Neuroscience</i>. Springer Nature, 2009. <a href=\"https://doi.org/10.1038/nn.2276\">https://doi.org/10.1038/nn.2276</a>.","ieee":"T. P. Vogels and L. F. Abbott, “Gating multiple signals through detailed balance of excitation and inhibition in spiking networks,” <i>Nature Neuroscience</i>, vol. 12, no. 4. Springer Nature, pp. 483–491, 2009.","apa":"Vogels, T. P., &#38; Abbott, L. F. (2009). Gating multiple signals through detailed balance of excitation and inhibition in spiking networks. <i>Nature Neuroscience</i>. Springer Nature. <a href=\"https://doi.org/10.1038/nn.2276\">https://doi.org/10.1038/nn.2276</a>","short":"T.P. Vogels, L.F. Abbott, Nature Neuroscience 12 (2009) 483–491.","mla":"Vogels, Tim P., and L. F. Abbott. “Gating Multiple Signals through Detailed Balance of Excitation and Inhibition in Spiking Networks.” <i>Nature Neuroscience</i>, vol. 12, no. 4, Springer Nature, 2009, pp. 483–91, doi:<a href=\"https://doi.org/10.1038/nn.2276\">10.1038/nn.2276</a>."},"status":"public","publisher":"Springer Nature","article_type":"original","day":"01","quality_controlled":"1","year":"2009","oa_version":"Submitted Version","author":[{"id":"CB6FF8D2-008F-11EA-8E08-2637E6697425","full_name":"Vogels, Tim P","first_name":"Tim P","orcid":"0000-0003-3295-6181","last_name":"Vogels"},{"last_name":"Abbott","first_name":"L F","full_name":"Abbott, L F"}]},{"quality_controlled":"1","intvolume":"         6","year":"2003","oa_version":"None","issue":"11","page":"1178-1185","date_created":"2019-03-21T09:47:53Z","type":"journal_article","author":[{"last_name":"Rogers","first_name":"Candida","full_name":"Rogers, Candida"},{"last_name":"Reale","first_name":"Vincenzina","full_name":"Reale, Vincenzina"},{"first_name":"Kyuhyung","last_name":"Kim","full_name":"Kim, Kyuhyung"},{"full_name":"Chatwin, Heather","first_name":"Heather","last_name":"Chatwin"},{"full_name":"Li, Chris","last_name":"Li","first_name":"Chris"},{"full_name":"Evans, Peter","last_name":"Evans","first_name":"Peter"},{"last_name":"de Bono","first_name":"Mario","orcid":"0000-0001-8347-0443","full_name":"de Bono, Mario","id":"4E3FF80E-F248-11E8-B48F-1D18A9856A87"}],"_id":"6156","month":"10","volume":6,"user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","pmid":1,"external_id":{"pmid":["14555955"]},"extern":"1","publication":"Nature Neuroscience","publication_status":"published","citation":{"mla":"Rogers, Candida, et al. “Inhibition of Caenorhabditis Elegans Social Feeding by FMRFamide-Related Peptide Activation of NPR-1.” <i>Nature Neuroscience</i>, vol. 6, no. 11, Springer Nature, 2003, pp. 1178–85, doi:<a href=\"https://doi.org/10.1038/nn1140\">10.1038/nn1140</a>.","short":"C. Rogers, V. Reale, K. Kim, H. Chatwin, C. Li, P. Evans, M. de Bono, Nature Neuroscience 6 (2003) 1178–1185.","apa":"Rogers, C., Reale, V., Kim, K., Chatwin, H., Li, C., Evans, P., &#38; de Bono, M. (2003). Inhibition of Caenorhabditis elegans social feeding by FMRFamide-related peptide activation of NPR-1. <i>Nature Neuroscience</i>. Springer Nature. <a href=\"https://doi.org/10.1038/nn1140\">https://doi.org/10.1038/nn1140</a>","ieee":"C. Rogers <i>et al.</i>, “Inhibition of Caenorhabditis elegans social feeding by FMRFamide-related peptide activation of NPR-1,” <i>Nature Neuroscience</i>, vol. 6, no. 11. Springer Nature, pp. 1178–1185, 2003.","ama":"Rogers C, Reale V, Kim K, et al. Inhibition of Caenorhabditis elegans social feeding by FMRFamide-related peptide activation of NPR-1. <i>Nature Neuroscience</i>. 2003;6(11):1178-1185. doi:<a href=\"https://doi.org/10.1038/nn1140\">10.1038/nn1140</a>","chicago":"Rogers, Candida, Vincenzina Reale, Kyuhyung Kim, Heather Chatwin, Chris Li, Peter Evans, and Mario de Bono. “Inhibition of Caenorhabditis Elegans Social Feeding by FMRFamide-Related Peptide Activation of NPR-1.” <i>Nature Neuroscience</i>. Springer Nature, 2003. <a href=\"https://doi.org/10.1038/nn1140\">https://doi.org/10.1038/nn1140</a>.","ista":"Rogers C, Reale V, Kim K, Chatwin H, Li C, Evans P, de Bono M. 2003. Inhibition of Caenorhabditis elegans social feeding by FMRFamide-related peptide activation of NPR-1. Nature Neuroscience. 6(11), 1178–1185."},"language":[{"iso":"eng"}],"status":"public","publisher":"Springer Nature","publication_identifier":{"issn":["1097-6256","1546-1726"]},"doi":"10.1038/nn1140","date_updated":"2021-01-12T08:06:25Z","title":"Inhibition of Caenorhabditis elegans social feeding by FMRFamide-related peptide activation of NPR-1","day":"12","date_published":"2003-10-12T00:00:00Z","abstract":[{"text":"Social and solitary feeding in natural Caenorhabditis elegans isolates are associated with two alleles of the orphan G-protein-coupled receptor (GPCR) NPR-1: social feeders contain NPR-1 215F, whereas solitary feeders contain NPR-1 215V. Here we identify FMRFamide-related neuropeptides (FaRPs) encoded by the flp-18 and flp-21 genes as NPR-1 ligands and show that these peptides can differentially activate the NPR-1 215F and NPR-1 215V receptors. Multicopy overexpression of flp-21 transformed wild social animals into solitary feeders. Conversely, a flp-21 deletion partially phenocopied the npr-1(null) phenotype, which is consistent with NPR-1 activation by FLP-21 in vivo but also implicates other ligands for NPR-1. Phylogenetic studies indicate that the dominant npr-1 215V allele likely arose from an ancestral npr-1 215F gene in C. elegans. Our data suggest a model in which solitary feeding evolved in an ancestral social strain of C. elegans by a gain-of-function mutation that modified the response of NPR-1 to FLP-18 and FLP-21 ligands.","lang":"eng"}]},{"publist_id":"4278","citation":{"chicago":"Lörincz, Andrea, Takuya Notomi, Gábor Tamás, Ryuichi Shigemoto, and Zoltán Nusser. “Polarized and Compartment-Dependent Distribution of HCN1 in Pyramidal Cell Dendrites.” <i>Nature Neuroscience</i>. Nature Publishing Group, 2002. <a href=\"https://doi.org/10.1038/nn962\">https://doi.org/10.1038/nn962</a>.","ama":"Lörincz A, Notomi T, Tamás G, Shigemoto R, Nusser Z. Polarized and compartment-dependent distribution of HCN1 in pyramidal cell dendrites. <i>Nature Neuroscience</i>. 2002;5(11):1185-1193. doi:<a href=\"https://doi.org/10.1038/nn962\">10.1038/nn962</a>","ieee":"A. Lörincz, T. Notomi, G. Tamás, R. Shigemoto, and Z. Nusser, “Polarized and compartment-dependent distribution of HCN1 in pyramidal cell dendrites,” <i>Nature Neuroscience</i>, vol. 5, no. 11. Nature Publishing Group, pp. 1185–1193, 2002.","apa":"Lörincz, A., Notomi, T., Tamás, G., Shigemoto, R., &#38; Nusser, Z. (2002). Polarized and compartment-dependent distribution of HCN1 in pyramidal cell dendrites. <i>Nature Neuroscience</i>. Nature Publishing Group. <a href=\"https://doi.org/10.1038/nn962\">https://doi.org/10.1038/nn962</a>","ista":"Lörincz A, Notomi T, Tamás G, Shigemoto R, Nusser Z. 2002. Polarized and compartment-dependent distribution of HCN1 in pyramidal cell dendrites. Nature Neuroscience. 5(11), 1185–1193.","mla":"Lörincz, Andrea, et al. “Polarized and Compartment-Dependent Distribution of HCN1 in Pyramidal Cell Dendrites.” <i>Nature Neuroscience</i>, vol. 5, no. 11, Nature Publishing Group, 2002, pp. 1185–93, doi:<a href=\"https://doi.org/10.1038/nn962\">10.1038/nn962</a>.","short":"A. Lörincz, T. Notomi, G. Tamás, R. Shigemoto, Z. Nusser, Nature Neuroscience 5 (2002) 1185–1193."},"volume":5,"user_id":"ea97e931-d5af-11eb-85d4-e6957dddbf17","external_id":{"pmid":["12389030"]},"month":"11","article_type":"original","day":"01","publisher":"Nature Publishing Group","status":"public","scopus_import":"1","oa_version":"None","year":"2002","quality_controlled":"1","author":[{"full_name":"Lörincz, Andrea","last_name":"Lörincz","first_name":"Andrea"},{"first_name":"Takuya","last_name":"Notomi","full_name":"Notomi, Takuya"},{"full_name":"Tamás, Gábor","first_name":"Gábor","last_name":"Tamás"},{"id":"499F3ABC-F248-11E8-B48F-1D18A9856A87","full_name":"Shigemoto, Ryuichi","first_name":"Ryuichi","orcid":"0000-0001-8761-9444","last_name":"Shigemoto"},{"first_name":"Zoltán","last_name":"Nusser","full_name":"Nusser, Zoltán"}],"language":[{"iso":"eng"}],"publication_status":"published","publication":"Nature Neuroscience","extern":"1","pmid":1,"acknowledgement":"Z.N. received grants from the Hungarian Science Foundation (T032309), the Howard Hughes Medical Institute, the James S. McDonnell Foundation, the Wellcome Trust and the Boehringer Ingelheim Fund. Z.N. and R.S. received grants from CREST—Japan Science and Technology Corporation. G.T. is funded by the Wellcome Trust.","abstract":[{"text":"An ion channel's function depends largely on its location and density on neurons. Here we used high-resolution immunolocalization to determine the subcellular distribution of the hyperpolarization-activated and cyclic-nucleotide-gated channel subunit 1 (HCN1) in rat brain. Light microscopy revealed graded HCN1 immunoreactivity in apical dendrites of hippocampal, subicular and neocortical layer-5 pyramidal cells. Quantitative comparison of immunogold densities showed a 60-fold increase from somatic to distal apical dendritic membranes. Distal dendritic shafts had 16 times more HCN1 labeling than proximal dendrites of similar diameters. At the same distance from the soma, the density of HCN1 was significantly higher in dendritic shafts than in spines. Our results reveal the complex cell surface distribution of voltage-gated ion-channels, and predict its role in increasing the computational power of single neurons via subcellular domain and input-specific mechanisms.","lang":"eng"}],"date_published":"2002-11-01T00:00:00Z","title":"Polarized and compartment-dependent distribution of HCN1 in pyramidal cell dendrites","date_updated":"2023-07-25T09:02:48Z","doi":"10.1038/nn962","publication_identifier":{"issn":["1097-6256"]},"issue":"11","intvolume":"         5","_id":"2620","article_processing_charge":"No","type":"journal_article","date_created":"2018-12-11T11:58:43Z","page":"1185 - 1193"}]