[{"status":"public","tmp":{"short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"type":"journal_article","publisher":"Elsevier","day":"07","issue":"9","date_published":"2025-05-07T00:00:00Z","has_accepted_license":"1","project":[{"grant_number":"281511","_id":"257A4776-B435-11E9-9278-68D0E5697425","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","grant_number":"I 3713-B27","_id":"2654F984-B435-11E9-9278-68D0E5697425"}],"oa_version":"Published Version","year":"2025","date_updated":"2026-04-28T13:39:22Z","user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","page":"1446-1459.e6","_id":"19506","title":"Sleep stages antagonistically modulate reactivation drift","month":"05","article_processing_charge":"Yes (via OA deal)","citation":{"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>","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>","ista":"Bollmann L, Baracskay P, Stella F, Csicsvari JL. 2025. Sleep stages antagonistically modulate reactivation drift. Neuron. 113(9), 1446–1459.e6.","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>.","short":"L. Bollmann, P. Baracskay, F. Stella, J.L. Csicsvari, Neuron 113 (2025) 1446–1459.e6.","mla":"Bollmann, Lars, et al. “Sleep Stages Antagonistically Modulate Reactivation Drift.” <i>Neuron</i>, vol. 113, no. 9, Elsevier, 2025, p. 1446–1459.e6, doi:<a href=\"https://doi.org/10.1016/j.neuron.2025.02.025\">10.1016/j.neuron.2025.02.025</a>.","ieee":"L. Bollmann, P. Baracskay, F. Stella, and J. L. Csicsvari, “Sleep stages antagonistically modulate reactivation drift,” <i>Neuron</i>, vol. 113, no. 9. Elsevier, p. 1446–1459.e6, 2025."},"PlanS_conform":"1","related_material":{"link":[{"url":"https://ista.ac.at/en/news/how-sleep-keeps-our-memories-fresh/","relation":"press_release","description":"News on ISTA website"}]},"ddc":["570"],"OA_place":"publisher","doi":"10.1016/j.neuron.2025.02.025","OA_type":"hybrid","article_type":"original","acknowledgement":"We thank Andrea Cumpelik, Lisa Genzel, and Freya Ólafsdóttir for comments on an earlier version of the manuscript. This work was supported by the European Research Council (281511) and Austrian Science Fund (FWF I3713).","file":[{"access_level":"open_access","relation":"main_file","success":1,"content_type":"application/pdf","checksum":"5e57852a45a78a751dd3a5e807bf015f","date_updated":"2025-08-05T12:43:44Z","creator":"dernst","file_name":"2025_Neuron_Bollmann.pdf","date_created":"2025-08-05T12:43:44Z","file_id":"20133","file_size":27047730}],"pmid":1,"oa":1,"publication_identifier":{"issn":["0896-6273"],"eissn":["1097-4199"]},"file_date_updated":"2025-08-05T12:43:44Z","publication":"Neuron","scopus_import":"1","author":[{"first_name":"Lars","id":"47AD3038-F248-11E8-B48F-1D18A9856A87","last_name":"Bollmann","full_name":"Bollmann, Lars"},{"id":"361CC00E-F248-11E8-B48F-1D18A9856A87","first_name":"Peter","full_name":"Baracskay, Peter","last_name":"Baracskay"},{"orcid":"0000-0001-9439-3148","last_name":"Stella","full_name":"Stella, Federico","first_name":"Federico","id":"39AF1E74-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Jozsef L","id":"3FA14672-F248-11E8-B48F-1D18A9856A87","full_name":"Csicsvari, Jozsef L","last_name":"Csicsvari","orcid":"0000-0002-5193-4036"}],"ec_funded":1,"intvolume":"       113","isi":1,"volume":113,"quality_controlled":"1","abstract":[{"text":"Hippocampal reactivation of waking neuronal assemblies in sleep is a key initial step of systems consolidation. Nevertheless, it is unclear whether reactivated assemblies are static or whether they reorganize gradually over prolonged sleep. We tracked reactivated CA1 assembly patterns over ∼20 h of sleep/rest periods and related them to assemblies seen before or after in a spatial learning paradigm using rats. We found that reactivated assembly patterns were gradually transformed and started to resemble those seen in the subsequent recall session. Periods of rapid eye movement (REM) sleep and non-REM (NREM) had antagonistic roles: whereas NREM accelerated the assembly drift, REM countered it. Moreover, only a subset of rate-changing pyramidal cells contributed to the drift, whereas stable-firing-rate cells maintained unaltered reactivation patterns. Our data suggest that prolonged sleep promotes the spontaneous reorganization of spatial assemblies, which can contribute to daily cognitive map changes or encoding new learning situations.","lang":"eng"}],"publication_status":"published","external_id":{"pmid":["40132588"],"isi":["001510440400001"]},"department":[{"_id":"JoCs"}],"date_created":"2025-04-06T22:01:32Z","language":[{"iso":"eng"}],"corr_author":"1"},{"publication":"Neuron","file_date_updated":"2025-01-09T09:15:31Z","author":[{"orcid":"0000-0002-8602-4374","id":"4871BCE6-F248-11E8-B48F-1D18A9856A87","first_name":"Dámaris K","full_name":"Rangel Guerrero, Dámaris K","last_name":"Rangel Guerrero"},{"last_name":"Balueva","full_name":"Balueva, Kira","first_name":"Kira"},{"full_name":"Barayeu, Uladzislau","last_name":"Barayeu","first_name":"Uladzislau","id":"b515be12-ec90-11ea-b966-d0b5e15613d2"},{"last_name":"Baracskay","full_name":"Baracskay, Peter","first_name":"Peter","id":"361CC00E-F248-11E8-B48F-1D18A9856A87"},{"orcid":"0000-0002-1807-1929","id":"4B60654C-F248-11E8-B48F-1D18A9856A87","first_name":"Igor","last_name":"Gridchyn","full_name":"Gridchyn, Igor"},{"orcid":"0000-0001-8849-6570","first_name":"Michele","id":"30BD0376-F248-11E8-B48F-1D18A9856A87","full_name":"Nardin, Michele","last_name":"Nardin"},{"full_name":"Roth, Chiara N","last_name":"Roth","first_name":"Chiara N","id":"37BB4FB6-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Peer","last_name":"Wulff","full_name":"Wulff, Peer"},{"id":"3FA14672-F248-11E8-B48F-1D18A9856A87","first_name":"Jozsef L","last_name":"Csicsvari","full_name":"Csicsvari, Jozsef L","orcid":"0000-0002-5193-4036"}],"scopus_import":"1","intvolume":"       112","isi":1,"acknowledgement":"We thank the kind donations from Andrea Varro, Brian Sauer, Edward Boyden, and Peter Jonas. We thank Jago Wallenschus, Kerstin Kronenbitter, and Didier Gremelle for outstanding technical support; Laura Bollepalli for initial viral targeting experiments; Cihan Önal for initial electrophysiology experiments; Yoav Ben-Simon for histological advice; and Anton Nikitenko for contributing to the analysis. We acknowledge support from the Miba Machine Shop, Bioimaging-, Life Science- and Pre-Clinical Facilities at ISTA. This work was supported by the Austrian Science Fund (FWF I3713 to J.C. as part of the FOR 2143 research consortium), the Deutsche Forschungsgemeinschaft (DFG) (WU 503/2-2 to P.W.), and the Medical Research Council, United Kingdom (grant G1100546/2 to P.W.).","file":[{"date_updated":"2025-01-09T09:15:31Z","checksum":"de5b18ff293d42bd90e83a193e889844","content_type":"application/pdf","file_size":9149079,"file_id":"18798","date_created":"2025-01-09T09:15:31Z","creator":"dernst","file_name":"2024_Neuron_RangelGuerrero.pdf","relation":"main_file","access_level":"open_access","success":1}],"pmid":1,"publication_identifier":{"issn":["0896-6273"],"eissn":["1097-4199"]},"oa":1,"publication_status":"published","department":[{"_id":"JoCs"}],"external_id":{"isi":["001300571400001"],"pmid":["38636524"]},"date_created":"2024-05-12T22:01:03Z","language":[{"iso":"eng"}],"corr_author":"1","volume":112,"quality_controlled":"1","abstract":[{"lang":"eng","text":"Cholecystokinin-expressing interneurons (CCKIs) are hypothesized to shape pyramidal cell-firing patterns and regulate network oscillations and related network state transitions. To directly probe their role in the CA1 region, we silenced their activity using optogenetic and chemogenetic tools in mice. Opto-tagged CCKIs revealed a heterogeneous population, and their optogenetic silencing triggered wide disinhibitory network changes affecting both pyramidal cells and other interneurons. CCKI silencing enhanced pyramidal cell burst firing and altered the temporal coding of place cells: theta phase precession was disrupted, whereas sequence reactivation was enhanced. Chemogenetic CCKI silencing did not alter the acquisition of spatial reference memories on the Morris water maze but enhanced the recall of contextual fear memories and enabled selective recall when similar environments were tested. This work suggests the key involvement of CCKIs in the control of place-cell temporal coding and the formation of contextual memories."}],"acknowledged_ssus":[{"_id":"M-Shop"},{"_id":"Bio"},{"_id":"LifeSc"},{"_id":"PreCl"}],"project":[{"grant_number":"I 3713-B27","_id":"2654F984-B435-11E9-9278-68D0E5697425","name":"Interneuro plasticity during spatial learning","call_identifier":"FWF"}],"has_accepted_license":"1","date_published":"2024-06-19T00:00:00Z","year":"2024","oa_version":"Published Version","date_updated":"2025-09-08T07:26:42Z","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","page":"2045-2061.e10","status":"public","tmp":{"short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"publisher":"Cell Press","day":"19","type":"journal_article","issue":"12","ddc":["570"],"OA_place":"publisher","doi":"10.1016/j.neuron.2024.03.019","OA_type":"hybrid","article_type":"original","_id":"15381","title":"Hippocampal cholecystokinin-expressing interneurons regulate temporal coding and contextual learning","month":"06","article_processing_charge":"Yes (via OA deal)","citation":{"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>.","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.","chicago":"Rangel Guerrero, Dámaris K, Kira Balueva, Uladzislau Barayeu, Peter Baracskay, Igor Gridchyn, Michele Nardin, Chiara N Roth, Peer Wulff, and Jozsef L Csicsvari. “Hippocampal Cholecystokinin-Expressing Interneurons Regulate Temporal Coding and Contextual Learning.” <i>Neuron</i>. Cell Press, 2024. <a href=\"https://doi.org/10.1016/j.neuron.2024.03.019\">https://doi.org/10.1016/j.neuron.2024.03.019</a>.","ista":"Rangel Guerrero DK, Balueva K, Barayeu U, Baracskay P, Gridchyn I, Nardin M, Roth CN, Wulff P, Csicsvari JL. 2024. Hippocampal cholecystokinin-expressing interneurons regulate temporal coding and contextual learning. Neuron. 112(12), 2045–2061.e10.","ama":"Rangel Guerrero DK, Balueva K, Barayeu U, et al. Hippocampal cholecystokinin-expressing interneurons regulate temporal coding and contextual learning. <i>Neuron</i>. 2024;112(12):2045-2061.e10. doi:<a href=\"https://doi.org/10.1016/j.neuron.2024.03.019\">10.1016/j.neuron.2024.03.019</a>","apa":"Rangel Guerrero, D. K., Balueva, K., Barayeu, U., Baracskay, P., Gridchyn, I., Nardin, M., … Csicsvari, J. L. (2024). Hippocampal cholecystokinin-expressing interneurons regulate temporal coding and contextual learning. <i>Neuron</i>. Cell Press. <a href=\"https://doi.org/10.1016/j.neuron.2024.03.019\">https://doi.org/10.1016/j.neuron.2024.03.019</a>"}},{"file":[{"access_level":"open_access","relation":"main_file","success":1,"date_updated":"2025-04-23T14:02:08Z","checksum":"30098b4f0209556ddfb3540a23d07ca5","content_type":"application/pdf","file_size":8192355,"creator":"dernst","file_name":"2024_Neuron_Chen.pdf","date_created":"2025-04-23T14:02:08Z","file_id":"19614"}],"acknowledgement":"We thank Drs. David DiGregorio and Erwin Neher for critically reading an earlier version of the manuscript, Ralf Schneggenburger for helpful discussions, Benjamin Suter and Katharina Lichter for support with image analysis, Chris Wojtan for advice on numerical solution of partial differential equations, Maria Reva for help with Ripley analysis, Alois Schlögl for programming, and Akari Hagiwara and Toshihisa Ohtsuka for anti-ELKS antibody. We are grateful to Florian Marr, Christina Altmutter, and Vanessa Zheden for excellent technical assistance and to Eleftheria Kralli-Beller for manuscript editing. This research was supported by the Scientific Services Units (SSUs) of ISTA (Electron Microscopy Facility, Preclinical Facility, and Machine Shop). The project received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement no. 692692), the Fonds zur Förderung der Wissenschaftlichen Forschung (Z 312-B27, Wittgenstein award; P 36232-B), all to P.J., and a DOC fellowship of the Austrian Academy of Sciences to J.-J.C.","pmid":1,"oa":1,"publication_identifier":{"eissn":["1097-4199"],"issn":["0896-6273"]},"file_date_updated":"2025-04-23T14:02:08Z","scopus_import":"1","author":[{"id":"2C4E65C8-F248-11E8-B48F-1D18A9856A87","first_name":"JingJing","full_name":"Chen, JingJing","last_name":"Chen"},{"full_name":"Kaufmann, Walter","last_name":"Kaufmann","first_name":"Walter","id":"3F99E422-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-9735-5315"},{"full_name":"Chen, Chong","last_name":"Chen","id":"3DFD581A-F248-11E8-B48F-1D18A9856A87","first_name":"Chong"},{"last_name":"Arai","full_name":"Arai, Itaru","id":"32A73F6C-F248-11E8-B48F-1D18A9856A87","first_name":"Itaru"},{"last_name":"Kim","full_name":"Kim, Olena","id":"3F8ABDDA-F248-11E8-B48F-1D18A9856A87","first_name":"Olena","orcid":"0000-0003-2344-1039"},{"orcid":"0000-0001-8761-9444","full_name":"Shigemoto, Ryuichi","last_name":"Shigemoto","first_name":"Ryuichi","id":"499F3ABC-F248-11E8-B48F-1D18A9856A87"},{"id":"353C1B58-F248-11E8-B48F-1D18A9856A87","first_name":"Peter M","full_name":"Jonas, Peter M","last_name":"Jonas","orcid":"0000-0001-5001-4804"}],"publication":"Neuron","ec_funded":1,"intvolume":"       112","isi":1,"volume":112,"quality_controlled":"1","abstract":[{"text":"The coupling between Ca2+ channels and release sensors is a key factor defining the signaling properties of a synapse. However, the coupling nanotopography at many synapses remains unknown, and it is unclear how it changes during development. To address these questions, we examined coupling at the cerebellar inhibitory basket cell (BC)-Purkinje cell (PC) synapse. Biophysical analysis of transmission by paired recording and intracellular pipette perfusion revealed that the effects of exogenous Ca2+ chelators decreased during development, despite constant reliance of release on P/Q-type Ca2+ channels. Structural analysis by freeze-fracture replica labeling (FRL) and transmission electron microscopy (EM) indicated that presynaptic P/Q-type Ca2+ channels formed nanoclusters throughout development, whereas docked vesicles were only clustered at later developmental stages. Modeling suggested a developmental transformation from a more random to a more clustered coupling nanotopography. Thus, presynaptic signaling developmentally approaches a point-to-point configuration, optimizing speed, reliability, and energy efficiency of synaptic transmission.","lang":"eng"}],"acknowledged_ssus":[{"_id":"EM-Fac"},{"_id":"PreCl"},{"_id":"M-Shop"}],"publication_status":"published","external_id":{"isi":["001202925700001"],"pmid":["38215739"]},"department":[{"_id":"PeJo"},{"_id":"EM-Fac"},{"_id":"RySh"}],"date_created":"2024-01-21T23:00:56Z","corr_author":"1","language":[{"iso":"eng"}],"status":"public","tmp":{"short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"type":"journal_article","day":"06","publisher":"Elsevier","issue":"5","project":[{"call_identifier":"H2020","name":"Biophysics and circuit function of a giant cortical glutamatergic synapse","grant_number":"692692","_id":"25B7EB9E-B435-11E9-9278-68D0E5697425"},{"call_identifier":"FWF","name":"Synaptic communication in neuronal microcircuits","_id":"25C5A090-B435-11E9-9278-68D0E5697425","grant_number":"Z00312"},{"name":"Mechanisms of GABA release in hippocampal circuits","grant_number":"P36232","_id":"bd88be38-d553-11ed-ba76-81d5a70a6ef5"},{"name":"Development of nanodomain coupling between Ca2+ channels and release sensors at a central inhibitory synapse","_id":"26B66A3E-B435-11E9-9278-68D0E5697425","grant_number":"25383"}],"has_accepted_license":"1","date_published":"2024-03-06T00:00:00Z","oa_version":"Published Version","year":"2024","date_updated":"2026-04-28T22:30:24Z","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","page":"755-771.e9","_id":"14843","title":"Developmental transformation of Ca2+ channel-vesicle nanotopography at a central GABAergic synapse","month":"03","article_processing_charge":"Yes (via OA deal)","citation":{"apa":"Chen, J., Kaufmann, W., Chen, C., Arai,  itaru, Kim, O., Shigemoto, R., &#38; Jonas, P. M. (2024). Developmental transformation of Ca2+ channel-vesicle nanotopography at a central GABAergic synapse. <i>Neuron</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.neuron.2023.12.002\">https://doi.org/10.1016/j.neuron.2023.12.002</a>","ama":"Chen J, Kaufmann W, Chen C, et al. Developmental transformation of Ca2+ channel-vesicle nanotopography at a central GABAergic synapse. <i>Neuron</i>. 2024;112(5):755-771.e9. doi:<a href=\"https://doi.org/10.1016/j.neuron.2023.12.002\">10.1016/j.neuron.2023.12.002</a>","ista":"Chen J, Kaufmann W, Chen C, Arai  itaru, Kim O, Shigemoto R, Jonas PM. 2024. Developmental transformation of Ca2+ channel-vesicle nanotopography at a central GABAergic synapse. Neuron. 112(5), 755–771.e9.","chicago":"Chen, JingJing, Walter Kaufmann, Chong Chen, itaru Arai, Olena Kim, Ryuichi Shigemoto, and Peter M Jonas. “Developmental Transformation of Ca2+ Channel-Vesicle Nanotopography at a Central GABAergic Synapse.” <i>Neuron</i>. Elsevier, 2024. <a href=\"https://doi.org/10.1016/j.neuron.2023.12.002\">https://doi.org/10.1016/j.neuron.2023.12.002</a>.","short":"J. Chen, W. Kaufmann, C. Chen,  itaru Arai, O. Kim, R. Shigemoto, P.M. Jonas, Neuron 112 (2024) 755–771.e9.","mla":"Chen, JingJing, et al. “Developmental Transformation of Ca2+ Channel-Vesicle Nanotopography at a Central GABAergic Synapse.” <i>Neuron</i>, vol. 112, no. 5, Elsevier, 2024, p. 755–771.e9, doi:<a href=\"https://doi.org/10.1016/j.neuron.2023.12.002\">10.1016/j.neuron.2023.12.002</a>.","ieee":"J. Chen <i>et al.</i>, “Developmental transformation of Ca2+ channel-vesicle nanotopography at a central GABAergic synapse,” <i>Neuron</i>, vol. 112, no. 5. Elsevier, p. 755–771.e9, 2024."},"PlanS_conform":"1","related_material":{"record":[{"status":"public","relation":"dissertation_contains","id":"15101"}],"link":[{"relation":"press_release","url":"https://ista.ac.at/en/news/synapses-brought-to-the-point/","description":"News on ISTA Website"}]},"ddc":["570"],"doi":"10.1016/j.neuron.2023.12.002","OA_place":"publisher","article_type":"original","OA_type":"hybrid"},{"publisher":"Elsevier","type":"journal_article","day":"01","issue":"3","status":"public","page":"291-293","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","year":"2023","oa_version":"Published Version","date_updated":"2025-06-25T06:24:25Z","date_published":"2023-02-01T00:00:00Z","citation":{"ama":"Villalba Requena A, Hippenmeyer S. Going back in time with TEMPO. <i>Neuron</i>. 2023;111(3):291-293. doi:<a href=\"https://doi.org/10.1016/j.neuron.2023.01.006\">10.1016/j.neuron.2023.01.006</a>","apa":"Villalba Requena, A., &#38; Hippenmeyer, S. (2023). Going back in time with TEMPO. <i>Neuron</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.neuron.2023.01.006\">https://doi.org/10.1016/j.neuron.2023.01.006</a>","chicago":"Villalba Requena, Ana, and Simon Hippenmeyer. “Going Back in Time with TEMPO.” <i>Neuron</i>. Elsevier, 2023. <a href=\"https://doi.org/10.1016/j.neuron.2023.01.006\">https://doi.org/10.1016/j.neuron.2023.01.006</a>.","ista":"Villalba Requena A, Hippenmeyer S. 2023. Going back in time with TEMPO. Neuron. 111(3), 291–293.","mla":"Villalba Requena, Ana, and Simon Hippenmeyer. “Going Back in Time with TEMPO.” <i>Neuron</i>, vol. 111, no. 3, Elsevier, 2023, pp. 291–93, doi:<a href=\"https://doi.org/10.1016/j.neuron.2023.01.006\">10.1016/j.neuron.2023.01.006</a>.","short":"A. Villalba Requena, S. Hippenmeyer, Neuron 111 (2023) 291–293.","ieee":"A. Villalba Requena and S. Hippenmeyer, “Going back in time with TEMPO,” <i>Neuron</i>, vol. 111, no. 3. Elsevier, pp. 291–293, 2023."},"article_processing_charge":"No","title":"Going back in time with TEMPO","month":"02","_id":"12542","OA_place":"publisher","doi":"10.1016/j.neuron.2023.01.006","article_type":"letter_note","OA_type":"free access","main_file_link":[{"open_access":"1","url":"https://doi.org/10.1016/j.neuron.2023.01.006"}],"publication_identifier":{"eissn":["1097-4199"]},"oa":1,"pmid":1,"isi":1,"intvolume":"       111","publication":"Neuron","scopus_import":"1","author":[{"id":"68cb85a0-39f7-11eb-9559-9aaab4f6a247","first_name":"Ana","last_name":"Villalba Requena","full_name":"Villalba Requena, Ana","orcid":"0000-0002-5615-5277"},{"id":"37B36620-F248-11E8-B48F-1D18A9856A87","first_name":"Simon","full_name":"Hippenmeyer, Simon","last_name":"Hippenmeyer","orcid":"0000-0003-2279-1061"}],"abstract":[{"text":"In this issue of Neuron, Espinosa-Medina et al.1 present the TEMPO (Temporal Encoding and Manipulation in a Predefined Order) system, which enables the marking and genetic manipulation of sequentially generated cell lineages in vertebrate species in vivo.","lang":"eng"}],"quality_controlled":"1","volume":111,"corr_author":"1","language":[{"iso":"eng"}],"department":[{"_id":"SiHi"}],"external_id":{"pmid":["36731425"],"isi":["000994473300001"]},"date_created":"2023-02-12T23:00:58Z","publication_status":"published"},{"doi":"10.1016/j.neuron.2022.01.014","article_type":"letter_note","article_processing_charge":"No","citation":{"ama":"Confavreux BJ, Vogels TP. A familiar thought: Machines that replace us? <i>Neuron</i>. 2022;110(3):361-362. doi:<a href=\"https://doi.org/10.1016/j.neuron.2022.01.014\">10.1016/j.neuron.2022.01.014</a>","apa":"Confavreux, B. J., &#38; Vogels, T. P. (2022). A familiar thought: Machines that replace us? <i>Neuron</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.neuron.2022.01.014\">https://doi.org/10.1016/j.neuron.2022.01.014</a>","chicago":"Confavreux, Basile J, and Tim P Vogels. “A Familiar Thought: Machines That Replace Us?” <i>Neuron</i>. Elsevier, 2022. <a href=\"https://doi.org/10.1016/j.neuron.2022.01.014\">https://doi.org/10.1016/j.neuron.2022.01.014</a>.","ista":"Confavreux BJ, Vogels TP. 2022. A familiar thought: Machines that replace us? Neuron. 110(3), 361–362.","short":"B.J. Confavreux, T.P. Vogels, Neuron 110 (2022) 361–362.","mla":"Confavreux, Basile J., and Tim P. Vogels. “A Familiar Thought: Machines That Replace Us?” <i>Neuron</i>, vol. 110, no. 3, Elsevier, 2022, pp. 361–62, doi:<a href=\"https://doi.org/10.1016/j.neuron.2022.01.014\">10.1016/j.neuron.2022.01.014</a>.","ieee":"B. J. Confavreux and T. P. Vogels, “A familiar thought: Machines that replace us?,” <i>Neuron</i>, vol. 110, no. 3. Elsevier, pp. 361–362, 2022."},"_id":"10753","title":"A familiar thought: Machines that replace us?","month":"02","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","page":"361-362","date_published":"2022-02-02T00:00:00Z","year":"2022","oa_version":"Published Version","date_updated":"2024-10-09T21:01:34Z","publisher":"Elsevier","type":"journal_article","day":"02","issue":"3","status":"public","external_id":{"isi":["000751819100005"],"pmid":["35114107"]},"department":[{"_id":"TiVo"}],"date_created":"2022-02-13T23:01:34Z","language":[{"iso":"eng"}],"corr_author":"1","publication_status":"published","abstract":[{"text":"This is a comment on \"Meta-learning synaptic plasticity and memory addressing for continual familiarity detection.\" Neuron. 2022 Feb 2;110(3):544-557.e8.","lang":"eng"}],"volume":110,"quality_controlled":"1","author":[{"id":"C7610134-B532-11EA-BD9F-F5753DDC885E","first_name":"Basile J","full_name":"Confavreux, Basile J","last_name":"Confavreux"},{"last_name":"Vogels","full_name":"Vogels, Tim P","first_name":"Tim P","id":"CB6FF8D2-008F-11EA-8E08-2637E6697425","orcid":"0000-0003-3295-6181"}],"scopus_import":"1","publication":"Neuron","isi":1,"intvolume":"       110","main_file_link":[{"open_access":"1","url":"https://doi.org/10.1016/j.neuron.2022.01.014"}],"pmid":1,"publication_identifier":{"eissn":["1097-4199"]},"oa":1},{"issue":"4","day":"17","publisher":"Elsevier","type":"journal_article","status":"public","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","page":"P629-644.E8","project":[{"_id":"260018B0-B435-11E9-9278-68D0E5697425","grant_number":"725780","call_identifier":"H2020","name":"Principles of Neural Stem Cell Lineage Progression in Cerebral Cortex Development"}],"date_published":"2021-02-17T00:00:00Z","date_updated":"2025-09-10T09:58:28Z","year":"2021","oa_version":"Preprint","article_processing_charge":"No","citation":{"ieee":"Y. H. Takeo <i>et al.</i>, “GluD2- and Cbln1-mediated competitive synaptogenesis shapes the dendritic arbors of cerebellar Purkinje cells,” <i>Neuron</i>, vol. 109, no. 4. Elsevier, p. P629–644.E8, 2021.","mla":"Takeo, Yukari H., et al. “GluD2- and Cbln1-Mediated Competitive Synaptogenesis Shapes the Dendritic Arbors of Cerebellar Purkinje Cells.” <i>Neuron</i>, vol. 109, no. 4, Elsevier, 2021, p. P629–644.E8, doi:<a href=\"https://doi.org/10.1016/j.neuron.2020.11.028\">10.1016/j.neuron.2020.11.028</a>.","short":"Y.H. Takeo, S.A. Shuster, L. Jiang, M. Hu, D.J. Luginbuhl, T. Rülicke, X. Contreras, S. Hippenmeyer, M.J. Wagner, S. Ganguli, L. Luo, Neuron 109 (2021) P629–644.E8.","chicago":"Takeo, Yukari H., S. Andrew Shuster, Linnie Jiang, Miley Hu, David J. Luginbuhl, Thomas Rülicke, Ximena Contreras, et al. “GluD2- and Cbln1-Mediated Competitive Synaptogenesis Shapes the Dendritic Arbors of Cerebellar Purkinje Cells.” <i>Neuron</i>. Elsevier, 2021. <a href=\"https://doi.org/10.1016/j.neuron.2020.11.028\">https://doi.org/10.1016/j.neuron.2020.11.028</a>.","ista":"Takeo YH, Shuster SA, Jiang L, Hu M, Luginbuhl DJ, Rülicke T, Contreras X, Hippenmeyer S, Wagner MJ, Ganguli S, Luo L. 2021. GluD2- and Cbln1-mediated competitive synaptogenesis shapes the dendritic arbors of cerebellar Purkinje cells. Neuron. 109(4), P629–644.E8.","ama":"Takeo YH, Shuster SA, Jiang L, et al. GluD2- and Cbln1-mediated competitive synaptogenesis shapes the dendritic arbors of cerebellar Purkinje cells. <i>Neuron</i>. 2021;109(4):P629-644.E8. doi:<a href=\"https://doi.org/10.1016/j.neuron.2020.11.028\">10.1016/j.neuron.2020.11.028</a>","apa":"Takeo, Y. H., Shuster, S. A., Jiang, L., Hu, M., Luginbuhl, D. J., Rülicke, T., … Luo, L. (2021). GluD2- and Cbln1-mediated competitive synaptogenesis shapes the dendritic arbors of cerebellar Purkinje cells. <i>Neuron</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.neuron.2020.11.028\">https://doi.org/10.1016/j.neuron.2020.11.028</a>"},"_id":"8544","month":"02","title":"GluD2- and Cbln1-mediated competitive synaptogenesis shapes the dendritic arbors of cerebellar Purkinje cells","article_type":"original","doi":"10.1016/j.neuron.2020.11.028","main_file_link":[{"url":"https://doi.org/10.1101/2020.06.14.151258","open_access":"1"}],"pmid":1,"acknowledgement":"We thank M. Mishina for GluD2fl frozen embryos, T.C. Südhof and J.I. Morgan for Cbln1fl mice, L. Anderson for help in generating the MADM alleles, W. Joo for a previously unpublished construct, M. Yuzaki, K. Shen, J. Ding, and members of the Luo lab, including J.M. Kebschull, H. Li, J. Li, T. Li, C.M. McLaughlin, D. Pederick, J. Ren, D.C. Wang and C. Xu for discussions and critiques of the manuscript, and M. Yuzaki for supporting Y.H.T. during the final phase of this project. Y.H.T. was supported by a JSPS fellowship; S.A.S. was supported by a Stanford Graduate Fellowship and an NSF Predoctoral Fellowship; L.J. is supported by a Stanford Graduate Fellowship and an NSF Predoctoral Fellowship; M.J.W. is supported by a Burroughs Wellcome Fund CASI Award. This work was supported by an NIH grant (R01-NS050538) to L.L.; the European Research Council (ERC) under the European Union's Horizon 2020 research and innovations programme (No. 725780 LinPro) to S.H.; and Simons and James S. McDonnell Foundations and an NSF CAREER award to S.G.; L.L. is an HHMI investigator.","oa":1,"publication_identifier":{"eissn":["1097-4199"]},"publication":"Neuron","scopus_import":"1","author":[{"full_name":"Takeo, Yukari H.","last_name":"Takeo","first_name":"Yukari H."},{"last_name":"Shuster","full_name":"Shuster, S. Andrew","first_name":"S. Andrew"},{"full_name":"Jiang, Linnie","last_name":"Jiang","first_name":"Linnie"},{"first_name":"Miley","full_name":"Hu, Miley","last_name":"Hu"},{"last_name":"Luginbuhl","full_name":"Luginbuhl, David J.","first_name":"David J."},{"full_name":"Rülicke, Thomas","last_name":"Rülicke","first_name":"Thomas"},{"first_name":"Ximena","id":"475990FE-F248-11E8-B48F-1D18A9856A87","full_name":"Contreras, Ximena","last_name":"Contreras"},{"orcid":"0000-0003-2279-1061","last_name":"Hippenmeyer","full_name":"Hippenmeyer, Simon","id":"37B36620-F248-11E8-B48F-1D18A9856A87","first_name":"Simon"},{"first_name":"Mark J.","full_name":"Wagner, Mark J.","last_name":"Wagner"},{"first_name":"Surya","full_name":"Ganguli, Surya","last_name":"Ganguli"},{"full_name":"Luo, Liqun","last_name":"Luo","first_name":"Liqun"}],"intvolume":"       109","isi":1,"ec_funded":1,"abstract":[{"lang":"eng","text":"The synaptotrophic hypothesis posits that synapse formation stabilizes dendritic branches, yet this hypothesis has not been causally tested in vivo in the mammalian brain. Presynaptic ligand cerebellin-1 (Cbln1) and postsynaptic receptor GluD2 mediate synaptogenesis between granule cells and Purkinje cells in the molecular layer of the cerebellar cortex. Here we show that sparse but not global knockout of GluD2 causes under-elaboration of Purkinje cell dendrites in the deep molecular layer and overelaboration in the superficial molecular layer. Developmental, overexpression, structure-function, and genetic epistasis analyses indicate that dendrite morphogenesis defects result from competitive synaptogenesis in a Cbln1/GluD2-dependent manner. A generative model of dendritic growth based on competitive synaptogenesis largely recapitulates GluD2 sparse and global knockout phenotypes. Our results support the synaptotrophic hypothesis at initial stages of dendrite development, suggest a second mode in which cumulative synapse formation inhibits further dendrite growth, and highlight the importance of competition in dendrite morphogenesis."}],"volume":109,"quality_controlled":"1","date_created":"2020-09-21T11:59:47Z","department":[{"_id":"SiHi"}],"external_id":{"pmid":["33352118"],"isi":["000632657400006"]},"language":[{"iso":"eng"}],"publication_status":"published"},{"ec_funded":1,"intvolume":"       109","isi":1,"publication":"Neuron","author":[{"last_name":"Baldwin","full_name":"Baldwin, Katherine T.","first_name":"Katherine T."},{"first_name":"Christabel X.","full_name":"Tan, Christabel X.","last_name":"Tan"},{"first_name":"Samuel T.","full_name":"Strader, Samuel T.","last_name":"Strader"},{"full_name":"Jiang, Changyu","last_name":"Jiang","first_name":"Changyu"},{"first_name":"Justin T.","full_name":"Savage, Justin T.","last_name":"Savage"},{"last_name":"Elorza-Vidal","full_name":"Elorza-Vidal, Xabier","first_name":"Xabier"},{"id":"475990FE-F248-11E8-B48F-1D18A9856A87","first_name":"Ximena","last_name":"Contreras","full_name":"Contreras, Ximena"},{"first_name":"Thomas","last_name":"Rülicke","full_name":"Rülicke, Thomas"},{"last_name":"Hippenmeyer","full_name":"Hippenmeyer, Simon","first_name":"Simon","id":"37B36620-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-2279-1061"},{"full_name":"Estévez, Raúl","last_name":"Estévez","first_name":"Raúl"},{"first_name":"Ru-Rong","last_name":"Ji","full_name":"Ji, Ru-Rong"},{"first_name":"Cagla","full_name":"Eroglu, Cagla","last_name":"Eroglu"}],"scopus_import":"1","oa":1,"publication_identifier":{"issn":["0896-6273"],"eissn":["1097-4199"]},"acknowledgement":"This work was supported by the National Institutes of Health (R01 DA047258 and R01 NS102237 to C.E., F32 NS100392 to K.T.B.) and the Holland-Trice Brain Research Award (to C.E.). K.T.B. was supported by postdoctoral fellowships from the Foerster-Bernstein Family and The Hartwell Foundation. The Hippenmeyer lab was supported by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovations program (725780 LinPro) to S.H. R.E. was supported by Ministerio de Ciencia y Tecnología (RTI2018-093493-B-I00). We thank the Duke Light Microscopy Core Facility, the Duke Transgenic Mouse Facility, Dr. U. Schulte for assistance with proteomic experiments, and Dr. D. Silver for critical review of the manuscript. Cartoon elements of figure panels were created using BioRender.com.","pmid":1,"main_file_link":[{"open_access":"1","url":"https://doi.org/10.1016/j.neuron.2021.05.025"}],"publication_status":"published","language":[{"iso":"eng"}],"external_id":{"isi":["000692851900010"],"pmid":["34171291"]},"department":[{"_id":"SiHi"}],"date_created":"2021-08-06T09:08:25Z","quality_controlled":"1","volume":109,"abstract":[{"lang":"eng","text":"Astrocytes extensively infiltrate the neuropil to regulate critical aspects of synaptic development and function. This process is regulated by transcellular interactions between astrocytes and neurons via cell adhesion molecules. How astrocytes coordinate developmental processes among one another to parse out the synaptic neuropil and form non-overlapping territories is unknown. Here we identify a molecular mechanism regulating astrocyte-astrocyte interactions during development to coordinate astrocyte morphogenesis and gap junction coupling. We show that hepaCAM, a disease-linked, astrocyte-enriched cell adhesion molecule, regulates astrocyte competition for territory and morphological complexity in the developing mouse cortex. Furthermore, conditional deletion of Hepacam from developing astrocytes significantly impairs gap junction coupling between astrocytes and disrupts the balance between synaptic excitation and inhibition. Mutations in HEPACAM cause megalencephalic leukoencephalopathy with subcortical cysts in humans. Therefore, our findings suggest that disruption of astrocyte self-organization mechanisms could be an underlying cause of neural pathology."}],"oa_version":"Published Version","year":"2021","date_updated":"2025-04-14T07:43:03Z","project":[{"call_identifier":"H2020","name":"Principles of Neural Stem Cell Lineage Progression in Cerebral Cortex Development","grant_number":"725780","_id":"260018B0-B435-11E9-9278-68D0E5697425"}],"date_published":"2021-08-04T00:00:00Z","page":"2427-2442.e10","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","status":"public","type":"journal_article","day":"04","publisher":"Elsevier","issue":"15","doi":"10.1016/j.neuron.2021.05.025","article_type":"original","title":"HepaCAM controls astrocyte self-organization and coupling","month":"08","_id":"9793","citation":{"mla":"Baldwin, Katherine T., et al. “HepaCAM Controls Astrocyte Self-Organization and Coupling.” <i>Neuron</i>, vol. 109, no. 15, Elsevier, 2021, p. 2427–2442.e10, doi:<a href=\"https://doi.org/10.1016/j.neuron.2021.05.025\">10.1016/j.neuron.2021.05.025</a>.","short":"K.T. Baldwin, C.X. Tan, S.T. Strader, C. Jiang, J.T. Savage, X. Elorza-Vidal, X. Contreras, T. Rülicke, S. Hippenmeyer, R. Estévez, R.-R. Ji, C. Eroglu, Neuron 109 (2021) 2427–2442.e10.","ieee":"K. T. Baldwin <i>et al.</i>, “HepaCAM controls astrocyte self-organization and coupling,” <i>Neuron</i>, vol. 109, no. 15. Elsevier, p. 2427–2442.e10, 2021.","apa":"Baldwin, K. T., Tan, C. X., Strader, S. T., Jiang, C., Savage, J. T., Elorza-Vidal, X., … Eroglu, C. (2021). HepaCAM controls astrocyte self-organization and coupling. <i>Neuron</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.neuron.2021.05.025\">https://doi.org/10.1016/j.neuron.2021.05.025</a>","ama":"Baldwin KT, Tan CX, Strader ST, et al. HepaCAM controls astrocyte self-organization and coupling. <i>Neuron</i>. 2021;109(15):2427-2442.e10. doi:<a href=\"https://doi.org/10.1016/j.neuron.2021.05.025\">10.1016/j.neuron.2021.05.025</a>","ista":"Baldwin KT, Tan CX, Strader ST, Jiang C, Savage JT, Elorza-Vidal X, Contreras X, Rülicke T, Hippenmeyer S, Estévez R, Ji R-R, Eroglu C. 2021. HepaCAM controls astrocyte self-organization and coupling. Neuron. 109(15), 2427–2442.e10.","chicago":"Baldwin, Katherine T., Christabel X. Tan, Samuel T. Strader, Changyu Jiang, Justin T. Savage, Xabier Elorza-Vidal, Ximena Contreras, et al. “HepaCAM Controls Astrocyte Self-Organization and Coupling.” <i>Neuron</i>. Elsevier, 2021. <a href=\"https://doi.org/10.1016/j.neuron.2021.05.025\">https://doi.org/10.1016/j.neuron.2021.05.025</a>."},"article_processing_charge":"No"},{"department":[{"_id":"HaJa"}],"external_id":{"pmid":["32976770"],"isi":["000603428000010"]},"date_created":"2020-10-18T22:01:38Z","language":[{"iso":"eng"}],"publication_status":"published","abstract":[{"lang":"eng","text":"Extrasynaptic actions of glutamate are limited by high-affinity transporters expressed by perisynaptic astroglial processes (PAPs): this helps maintain point-to-point transmission in excitatory circuits. Memory formation in the brain is associated with synaptic remodeling, but how this affects PAPs and therefore extrasynaptic glutamate actions is poorly understood. Here, we used advanced imaging methods, in situ and in vivo, to find that a classical synaptic memory mechanism, long-term potentiation (LTP), triggers withdrawal of PAPs from potentiated synapses. Optical glutamate sensors combined with patch-clamp and 3D molecular localization reveal that LTP induction thus prompts spatial retreat of astroglial glutamate transporters, boosting glutamate spillover and NMDA-receptor-mediated inter-synaptic cross-talk. The LTP-triggered PAP withdrawal involves NKCC1 transporters and the actin-controlling protein cofilin but does not depend on major Ca2+-dependent cascades in astrocytes. We have therefore uncovered a mechanism by which a memory trace at one synapse could alter signal handling by multiple neighboring connections."}],"volume":108,"quality_controlled":"1","publication":"Neuron","author":[{"first_name":"Christian","last_name":"Henneberger","full_name":"Henneberger, Christian"},{"full_name":"Bard, Lucie","last_name":"Bard","first_name":"Lucie"},{"first_name":"Aude","last_name":"Panatier","full_name":"Panatier, Aude"},{"first_name":"James P.","full_name":"Reynolds, James P.","last_name":"Reynolds"},{"first_name":"Olga","full_name":"Kopach, Olga","last_name":"Kopach"},{"first_name":"Nikolay I.","full_name":"Medvedev, Nikolay I.","last_name":"Medvedev"},{"last_name":"Minge","full_name":"Minge, Daniel","first_name":"Daniel"},{"first_name":"Michel K.","last_name":"Herde","full_name":"Herde, Michel K."},{"first_name":"Stefanie","full_name":"Anders, Stefanie","last_name":"Anders"},{"last_name":"Kraev","full_name":"Kraev, Igor","first_name":"Igor"},{"first_name":"Janosch P.","full_name":"Heller, Janosch P.","last_name":"Heller"},{"first_name":"Sylvain","last_name":"Rama","full_name":"Rama, Sylvain"},{"full_name":"Zheng, Kaiyu","last_name":"Zheng","first_name":"Kaiyu"},{"first_name":"Thomas P.","last_name":"Jensen","full_name":"Jensen, Thomas P."},{"last_name":"Sanchez-Romero","full_name":"Sanchez-Romero, Inmaculada","id":"3D9C5D30-F248-11E8-B48F-1D18A9856A87","first_name":"Inmaculada"},{"last_name":"Jackson","full_name":"Jackson, Colin J.","first_name":"Colin J."},{"id":"33BA6C30-F248-11E8-B48F-1D18A9856A87","first_name":"Harald L","full_name":"Janovjak, Harald L","last_name":"Janovjak","orcid":"0000-0002-8023-9315"},{"first_name":"Ole Petter","full_name":"Ottersen, Ole Petter","last_name":"Ottersen"},{"full_name":"Nagelhus, Erlend Arnulf","last_name":"Nagelhus","first_name":"Erlend Arnulf"},{"last_name":"Oliet","full_name":"Oliet, Stephane H.R.","first_name":"Stephane H.R."},{"first_name":"Michael G.","last_name":"Stewart","full_name":"Stewart, Michael G."},{"first_name":"U. VAlentin","full_name":"Nägerl, U. VAlentin","last_name":"Nägerl"},{"full_name":"Rusakov, Dmitri A. ","last_name":"Rusakov","first_name":"Dmitri A. "}],"file_date_updated":"2020-12-10T14:42:09Z","scopus_import":"1","isi":1,"intvolume":"       108","file":[{"file_size":7518960,"date_created":"2020-12-10T14:42:09Z","file_id":"8939","creator":"dernst","file_name":"2020_Neuron_Henneberger.pdf","date_updated":"2020-12-10T14:42:09Z","content_type":"application/pdf","checksum":"054562bb50165ef9a1f46631c1c5e36b","success":1,"relation":"main_file","access_level":"open_access"}],"acknowledgement":"We thank J. Angibaud for organotypic cultures and R. Chereau and J. Tonnesen for help with the STED microscope; also D. Gonzales and the Neurocentre Magendie INSERM U1215 Genotyping Platform, for breeding management and genotyping. This work was supported by the Wellcome Trust Principal Fellowships 101896 and 212251, ERC Advanced Grant 323113, ERC Proof-of-Concept Grant 767372, EC FP7 ITN 606950, and EU CSA 811011 (D.A.R.); NRW-Rückkehrerpogramm, UCL Excellence Fellowship, German Research Foundation (DFG) SPP1757 and SFB1089 (C.H.); Human Frontiers Science Program (C.H., C.J.J., and H.J.); EMBO Long-Term Fellowship (L.B.); Marie Curie FP7 PIRG08-GA-2010-276995 (A.P.), ASTROMODULATION (S.R.); Equipe FRM DEQ 201 303 26519, Conseil Régional d’Aquitaine R12056GG, INSERM (S.H.R.O.); ANR SUPERTri, ANR Castro (ANR-17-CE16-0002), R-13-BSV4-0007-01, Université de Bordeaux, labex BRAIN (S.H.R.O. and U.V.N.); CNRS (A.P., S.H.R.O., and U.V.N.); HFSP, ANR CEXC, and France-BioImaging ANR-10-INSB-04 (U.V.N.); and FP7 MemStick Project No. 201600 (M.G.S.).","pmid":1,"oa":1,"publication_identifier":{"issn":["0896-6273"],"eissn":["1097-4199"]},"doi":"10.1016/j.neuron.2020.08.030","article_type":"original","ddc":["570"],"article_processing_charge":"No","citation":{"mla":"Henneberger, Christian, et al. “LTP Induction Boosts Glutamate Spillover by Driving Withdrawal of Perisynaptic Astroglia.” <i>Neuron</i>, vol. 108, no. 5, Elsevier, 2020, p. P919–936.E11, doi:<a href=\"https://doi.org/10.1016/j.neuron.2020.08.030\">10.1016/j.neuron.2020.08.030</a>.","short":"C. Henneberger, L. Bard, A. Panatier, J.P. Reynolds, O. Kopach, N.I. Medvedev, D. Minge, M.K. Herde, S. Anders, I. Kraev, J.P. Heller, S. Rama, K. Zheng, T.P. Jensen, I. Sanchez-Romero, C.J. Jackson, H.L. Janovjak, O.P. Ottersen, E.A. Nagelhus, S.H.R. Oliet, M.G. Stewart, U.Va. Nägerl, D.A. Rusakov, Neuron 108 (2020) P919–936.E11.","ieee":"C. Henneberger <i>et al.</i>, “LTP induction boosts glutamate spillover by driving withdrawal of perisynaptic astroglia,” <i>Neuron</i>, vol. 108, no. 5. Elsevier, p. P919–936.E11, 2020.","ama":"Henneberger C, Bard L, Panatier A, et al. LTP induction boosts glutamate spillover by driving withdrawal of perisynaptic astroglia. <i>Neuron</i>. 2020;108(5):P919-936.E11. doi:<a href=\"https://doi.org/10.1016/j.neuron.2020.08.030\">10.1016/j.neuron.2020.08.030</a>","apa":"Henneberger, C., Bard, L., Panatier, A., Reynolds, J. P., Kopach, O., Medvedev, N. I., … Rusakov, D. A. (2020). LTP induction boosts glutamate spillover by driving withdrawal of perisynaptic astroglia. <i>Neuron</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.neuron.2020.08.030\">https://doi.org/10.1016/j.neuron.2020.08.030</a>","chicago":"Henneberger, Christian, Lucie Bard, Aude Panatier, James P. Reynolds, Olga Kopach, Nikolay I. Medvedev, Daniel Minge, et al. “LTP Induction Boosts Glutamate Spillover by Driving Withdrawal of Perisynaptic Astroglia.” <i>Neuron</i>. Elsevier, 2020. <a href=\"https://doi.org/10.1016/j.neuron.2020.08.030\">https://doi.org/10.1016/j.neuron.2020.08.030</a>.","ista":"Henneberger C, Bard L, Panatier A, Reynolds JP, Kopach O, Medvedev NI, Minge D, Herde MK, Anders S, Kraev I, Heller JP, Rama S, Zheng K, Jensen TP, Sanchez-Romero I, Jackson CJ, Janovjak HL, Ottersen OP, Nagelhus EA, Oliet SHR, Stewart MG, Nägerl UVa, Rusakov DA. 2020. LTP induction boosts glutamate spillover by driving withdrawal of perisynaptic astroglia. Neuron. 108(5), P919–936.E11."},"_id":"8674","title":"LTP induction boosts glutamate spillover by driving withdrawal of perisynaptic astroglia","month":"12","user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","page":"P919-936.E11","has_accepted_license":"1","date_published":"2020-12-09T00:00:00Z","oa_version":"Published Version","year":"2020","date_updated":"2026-04-16T09:33:03Z","type":"journal_article","publisher":"Elsevier","day":"09","issue":"5","status":"public","tmp":{"short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"}},{"article_type":"original","doi":"10.1016/j.neuron.2020.01.021","_id":"7684","month":"04","title":"Assembly-specific disruption of hippocampal replay leads to selective memory deficit","article_processing_charge":"No","related_material":{"link":[{"relation":"press_release","url":"https://ist.ac.at/en/news/librarian-of-memory/","description":"News on IST Homepage"}]},"citation":{"chicago":"Gridchyn, Igor, Philipp Schönenberger, Joseph O’Neill, and Jozsef L Csicsvari. “Assembly-Specific Disruption of Hippocampal Replay Leads to Selective Memory Deficit.” <i>Neuron</i>. Elsevier, 2020. <a href=\"https://doi.org/10.1016/j.neuron.2020.01.021\">https://doi.org/10.1016/j.neuron.2020.01.021</a>.","ista":"Gridchyn I, Schönenberger P, O’Neill J, Csicsvari JL. 2020. Assembly-specific disruption of hippocampal replay leads to selective memory deficit. Neuron. 106(2), 291–300.e6.","ama":"Gridchyn I, Schönenberger P, O’Neill J, Csicsvari JL. Assembly-specific disruption of hippocampal replay leads to selective memory deficit. <i>Neuron</i>. 2020;106(2):291-300.e6. doi:<a href=\"https://doi.org/10.1016/j.neuron.2020.01.021\">10.1016/j.neuron.2020.01.021</a>","apa":"Gridchyn, I., Schönenberger, P., O’Neill, J., &#38; Csicsvari, J. L. (2020). Assembly-specific disruption of hippocampal replay leads to selective memory deficit. <i>Neuron</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.neuron.2020.01.021\">https://doi.org/10.1016/j.neuron.2020.01.021</a>","ieee":"I. Gridchyn, P. Schönenberger, J. O’Neill, and J. L. Csicsvari, “Assembly-specific disruption of hippocampal replay leads to selective memory deficit,” <i>Neuron</i>, vol. 106, no. 2. Elsevier, p. 291–300.e6, 2020.","short":"I. Gridchyn, P. Schönenberger, J. O’Neill, J.L. Csicsvari, Neuron 106 (2020) 291–300.e6.","mla":"Gridchyn, Igor, et al. “Assembly-Specific Disruption of Hippocampal Replay Leads to Selective Memory Deficit.” <i>Neuron</i>, vol. 106, no. 2, Elsevier, 2020, p. 291–300.e6, doi:<a href=\"https://doi.org/10.1016/j.neuron.2020.01.021\">10.1016/j.neuron.2020.01.021</a>."},"date_published":"2020-04-22T00:00:00Z","project":[{"_id":"257A4776-B435-11E9-9278-68D0E5697425","grant_number":"281511","call_identifier":"FP7","name":"Memory-related information processing in neuronal circuits of the hippocampus and entorhinal cortex"}],"date_updated":"2026-04-16T09:29:06Z","year":"2020","oa_version":"Published Version","user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","page":"291-300.e6","status":"public","issue":"2","publisher":"Elsevier","day":"22","type":"journal_article","publication_status":"published","date_created":"2020-04-26T22:00:45Z","department":[{"_id":"JoCs"}],"external_id":{"isi":["000528268200013"],"pmid":["32070475"]},"language":[{"iso":"eng"}],"volume":106,"quality_controlled":"1","publication":"Neuron","author":[{"orcid":"0000-0002-1807-1929","id":"4B60654C-F248-11E8-B48F-1D18A9856A87","first_name":"Igor","last_name":"Gridchyn","full_name":"Gridchyn, Igor"},{"first_name":"Philipp","id":"3B9D816C-F248-11E8-B48F-1D18A9856A87","last_name":"Schönenberger","full_name":"Schönenberger, Philipp"},{"full_name":"O'Neill, Joseph","last_name":"O'Neill","first_name":"Joseph","id":"426376DC-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Jozsef L","id":"3FA14672-F248-11E8-B48F-1D18A9856A87","last_name":"Csicsvari","full_name":"Csicsvari, Jozsef L","orcid":"0000-0002-5193-4036"}],"scopus_import":"1","intvolume":"       106","isi":1,"ec_funded":1,"pmid":1,"oa":1,"publication_identifier":{"eissn":["1097-4199"],"issn":["0896-6273"]},"main_file_link":[{"url":"https://doi.org/10.1016/j.neuron.2020.01.021","open_access":"1"}]},{"ddc":["570"],"doi":"10.1016/j.neuron.2019.01.051","title":"Adult neural stem cells and multiciliated ependymal cells share a common lineage regulated by the Geminin family members","month":"04","_id":"6454","citation":{"apa":"Ortiz-Álvarez, G., Daclin, M., Shihavuddin, A., Lansade, P., Fortoul, A., Faucourt, M., … Spassky, N. (2019). Adult neural stem cells and multiciliated ependymal cells share a common lineage regulated by the Geminin family members. <i>Neuron</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.neuron.2019.01.051\">https://doi.org/10.1016/j.neuron.2019.01.051</a>","ama":"Ortiz-Álvarez G, Daclin M, Shihavuddin A, et al. Adult neural stem cells and multiciliated ependymal cells share a common lineage regulated by the Geminin family members. <i>Neuron</i>. 2019;102(1):159-172.e7. doi:<a href=\"https://doi.org/10.1016/j.neuron.2019.01.051\">10.1016/j.neuron.2019.01.051</a>","ista":"Ortiz-Álvarez G, Daclin M, Shihavuddin A, Lansade P, Fortoul A, Faucourt M, Clavreul S, Lalioti M, Taraviras S, Hippenmeyer S, Livet J, Meunier A, Genovesio A, Spassky N. 2019. Adult neural stem cells and multiciliated ependymal cells share a common lineage regulated by the Geminin family members. Neuron. 102(1), 159–172.e7.","chicago":"Ortiz-Álvarez, G, M Daclin, A Shihavuddin, P Lansade, A Fortoul, M Faucourt, S Clavreul, et al. “Adult Neural Stem Cells and Multiciliated Ependymal Cells Share a Common Lineage Regulated by the Geminin Family Members.” <i>Neuron</i>. Elsevier, 2019. <a href=\"https://doi.org/10.1016/j.neuron.2019.01.051\">https://doi.org/10.1016/j.neuron.2019.01.051</a>.","short":"G. Ortiz-Álvarez, M. Daclin, A. Shihavuddin, P. Lansade, A. Fortoul, M. Faucourt, S. Clavreul, M. Lalioti, S. Taraviras, S. Hippenmeyer, J. Livet, A. Meunier, A. Genovesio, N. Spassky, Neuron 102 (2019) 159–172.e7.","mla":"Ortiz-Álvarez, G., et al. “Adult Neural Stem Cells and Multiciliated Ependymal Cells Share a Common Lineage Regulated by the Geminin Family Members.” <i>Neuron</i>, vol. 102, no. 1, Elsevier, 2019, p. 159–172.e7, doi:<a href=\"https://doi.org/10.1016/j.neuron.2019.01.051\">10.1016/j.neuron.2019.01.051</a>.","ieee":"G. Ortiz-Álvarez <i>et al.</i>, “Adult neural stem cells and multiciliated ependymal cells share a common lineage regulated by the Geminin family members,” <i>Neuron</i>, vol. 102, no. 1. Elsevier, p. 159–172.e7, 2019."},"article_processing_charge":"No","year":"2019","oa_version":"Published Version","date_updated":"2025-04-14T07:43:05Z","date_published":"2019-04-03T00:00:00Z","project":[{"_id":"260018B0-B435-11E9-9278-68D0E5697425","grant_number":"725780","call_identifier":"H2020","name":"Principles of Neural Stem Cell Lineage Progression in Cerebral Cortex Development"}],"has_accepted_license":"1","page":"159-172.e7","user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","tmp":{"name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","image":"/images/cc_by_nc_nd.png","short":"CC BY-NC-ND (4.0)","legal_code_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode"},"status":"public","publisher":"Elsevier","day":"03","type":"journal_article","issue":"1","publication_status":"published","language":[{"iso":"eng"}],"department":[{"_id":"SiHi"}],"external_id":{"isi":["000463337900018"],"pmid":["30824354"]},"date_created":"2019-05-14T13:06:30Z","quality_controlled":"1","volume":102,"abstract":[{"lang":"eng","text":"Adult neural stem cells and multiciliated ependymalcells are glial cells essential for neurological func-tions. Together, they make up the adult neurogenicniche. Using both high-throughput clonal analysisand single-cell resolution of progenitor division pat-terns and fate, we show that these two componentsof the neurogenic niche are lineally related: adult neu-ral stem cells are sister cells to ependymal cells,whereas most ependymal cells arise from the termi-nal symmetric divisions of the lineage. Unexpectedly,we found that the antagonist regulators of DNA repli-cation, GemC1 and Geminin, can tune the proportionof neural stem cells and ependymal cells. Our find-ings reveal the controlled dynamic of the neurogenicniche ontogeny and identify the Geminin familymembers as key regulators of the initial pool of adultneural stem cells."}],"ec_funded":1,"isi":1,"intvolume":"       102","scopus_import":"1","file_date_updated":"2020-07-14T12:47:30Z","publication":"Neuron","author":[{"full_name":"Ortiz-Álvarez, G","last_name":"Ortiz-Álvarez","first_name":"G"},{"full_name":"Daclin, M","last_name":"Daclin","first_name":"M"},{"first_name":"A","full_name":"Shihavuddin, A","last_name":"Shihavuddin"},{"first_name":"P","last_name":"Lansade","full_name":"Lansade, P"},{"full_name":"Fortoul, A","last_name":"Fortoul","first_name":"A"},{"last_name":"Faucourt","full_name":"Faucourt, M","first_name":"M"},{"full_name":"Clavreul, S","last_name":"Clavreul","first_name":"S"},{"full_name":"Lalioti, ME","last_name":"Lalioti","first_name":"ME"},{"first_name":"S","last_name":"Taraviras","full_name":"Taraviras, S"},{"orcid":"0000-0003-2279-1061","full_name":"Hippenmeyer, Simon","last_name":"Hippenmeyer","id":"37B36620-F248-11E8-B48F-1D18A9856A87","first_name":"Simon"},{"first_name":"J","last_name":"Livet","full_name":"Livet, J"},{"first_name":"A","last_name":"Meunier","full_name":"Meunier, A"},{"full_name":"Genovesio, A","last_name":"Genovesio","first_name":"A"},{"first_name":"N","last_name":"Spassky","full_name":"Spassky, N"}],"oa":1,"publication_identifier":{"issn":["0896-6273"],"eissn":["1097-4199"]},"file":[{"access_level":"open_access","relation":"main_file","creator":"dernst","file_name":"2019_Neuron_Ortiz.pdf","file_id":"6457","date_created":"2019-05-15T09:28:41Z","file_size":7288572,"checksum":"1fb6e195c583eb0c5cabf26f69ff6675","content_type":"application/pdf","date_updated":"2020-07-14T12:47:30Z"}],"pmid":1},{"scopus_import":"1","author":[{"id":"475990FE-F248-11E8-B48F-1D18A9856A87","first_name":"Ximena","full_name":"Contreras, Ximena","last_name":"Contreras"},{"last_name":"Hippenmeyer","full_name":"Hippenmeyer, Simon","id":"37B36620-F248-11E8-B48F-1D18A9856A87","first_name":"Simon","orcid":"0000-0003-2279-1061"}],"publication":"Neuron","intvolume":"       103","isi":1,"pmid":1,"oa":1,"publication_identifier":{"issn":["0896-6273"],"eissn":["1097-4199"]},"main_file_link":[{"open_access":"1","url":"https://doi.org/10.1016/j.neuron.2019.08.021"}],"publication_status":"published","department":[{"_id":"SiHi"}],"external_id":{"pmid":["31487522"],"isi":["000484400200002"]},"date_created":"2019-08-25T22:00:50Z","language":[{"iso":"eng"}],"volume":103,"quality_controlled":"1","date_published":"2019-09-04T00:00:00Z","year":"2019","oa_version":"Published Version","date_updated":"2026-04-28T22:31:00Z","user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","page":"750-752","status":"public","type":"journal_article","publisher":"Elsevier","day":"04","issue":"5","doi":"10.1016/j.neuron.2019.08.021","article_type":"letter_note","_id":"6830","title":"Memo1 tiles the radial glial cell grid","month":"09","article_processing_charge":"No","citation":{"ieee":"X. Contreras and S. Hippenmeyer, “Memo1 tiles the radial glial cell grid,” <i>Neuron</i>, vol. 103, no. 5. Elsevier, pp. 750–752, 2019.","short":"X. Contreras, S. Hippenmeyer, Neuron 103 (2019) 750–752.","mla":"Contreras, Ximena, and Simon Hippenmeyer. “Memo1 Tiles the Radial Glial Cell Grid.” <i>Neuron</i>, vol. 103, no. 5, Elsevier, 2019, pp. 750–52, doi:<a href=\"https://doi.org/10.1016/j.neuron.2019.08.021\">10.1016/j.neuron.2019.08.021</a>.","ista":"Contreras X, Hippenmeyer S. 2019. Memo1 tiles the radial glial cell grid. Neuron. 103(5), 750–752.","chicago":"Contreras, Ximena, and Simon Hippenmeyer. “Memo1 Tiles the Radial Glial Cell Grid.” <i>Neuron</i>. Elsevier, 2019. <a href=\"https://doi.org/10.1016/j.neuron.2019.08.021\">https://doi.org/10.1016/j.neuron.2019.08.021</a>.","apa":"Contreras, X., &#38; Hippenmeyer, S. (2019). Memo1 tiles the radial glial cell grid. <i>Neuron</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.neuron.2019.08.021\">https://doi.org/10.1016/j.neuron.2019.08.021</a>","ama":"Contreras X, Hippenmeyer S. Memo1 tiles the radial glial cell grid. <i>Neuron</i>. 2019;103(5):750-752. doi:<a href=\"https://doi.org/10.1016/j.neuron.2019.08.021\">10.1016/j.neuron.2019.08.021</a>"},"related_material":{"record":[{"relation":"part_of_dissertation","status":"public","id":"7902"}]}},{"publication_identifier":{"issn":["0896-6273"],"eissn":["1097-4199"]},"oa":1,"acknowledgement":"This work was supported by the Core Research for Evolutional Science and Technology (CREST) of Japan Science and Technology Agency to T.T. and R.S.; by the funding provided by Okinawa Institute of Science and Technology (OIST) to T.T. and Y.N.; by JSPS Core-to-Core Program, A. Advanced Networks to T.T.; by the Grant-in-Aid for Young Scientists from the Japanese Ministry of Education, Culture, Sports, Science and Technology (#23700474) to Y.N.; by the Centre National de la Recherche Scientifique through the Actions Thematiques et Initatives sur Programme, Fondation Fyssen, Fondation pour la Recherche Medicale, Federation pour la Recherche sur le Cerveau, Agence Nationale de la Recherche (ANR-2007-Neuro-008-01 and ANR-2010-BLAN-1411-01) to D.D. and Y.N.; and by the European Commission Coordination Action ENINET (LSHM-CT-2005-19063) to D.D. and R.A.S. R.A.S. and J.S.R. were funded by Wellcome Trust Senior (064413) and Principal (095667) Research Fellowship and an ERC advance grant (294667) to RAS.","file":[{"relation":"main_file","access_level":"open_access","date_updated":"2020-07-14T12:45:01Z","checksum":"725f4d5be2dbb44b283ce722645ef37d","content_type":"application/pdf","file_size":3080111,"file_id":"5170","date_created":"2018-12-12T10:15:47Z","file_name":"IST-2016-482-v1+1_1-s2.0-S0896627314010472-main.pdf","creator":"system"}],"pmid":1,"isi":1,"intvolume":"        85","scopus_import":"1","author":[{"last_name":"Nakamura","full_name":"Nakamura, Yukihiro","first_name":"Yukihiro"},{"orcid":"0000-0001-7429-7896","id":"2E55CDF2-F248-11E8-B48F-1D18A9856A87","first_name":"Harumi","full_name":"Harada, Harumi","last_name":"Harada"},{"last_name":"Kamasawa","full_name":"Kamasawa, Naomi","first_name":"Naomi"},{"full_name":"Matsui, Ko","last_name":"Matsui","first_name":"Ko"},{"first_name":"Jason","last_name":"Rothman","full_name":"Rothman, Jason"},{"orcid":"0000-0001-8761-9444","id":"499F3ABC-F248-11E8-B48F-1D18A9856A87","first_name":"Ryuichi","full_name":"Shigemoto, Ryuichi","last_name":"Shigemoto"},{"first_name":"R Angus","full_name":"Silver, R Angus","last_name":"Silver"},{"full_name":"Digregorio, David","last_name":"Digregorio","first_name":"David"},{"last_name":"Takahashi","full_name":"Takahashi, Tomoyuki","first_name":"Tomoyuki"}],"publication":"Neuron","file_date_updated":"2020-07-14T12:45:01Z","quality_controlled":"1","volume":85,"abstract":[{"text":"Synaptic efficacy and precision are influenced by the coupling of voltage-gated Ca2+ channels (VGCCs) to vesicles. But because the topography of VGCCs and their proximity to vesicles is unknown, a quantitative understanding of the determinants of vesicular release at nanometer scale is lacking. To investigate this, we combined freeze-fracture replica immunogold labeling of Cav2.1 channels, local [Ca2+] imaging, and patch pipette perfusion of EGTA at the calyx of Held. Between postnatal day 7 and 21, VGCCs formed variable sized clusters and vesicular release became less sensitive to EGTA, whereas fixed Ca2+ buffer properties remained constant. Experimentally constrained reaction-diffusion simulations suggest that Ca2+ sensors for vesicular release are located at the perimeter of VGCC clusters (&lt;30nm) and predict that VGCC number per cluster determines vesicular release probability without altering release time course. This &quot;perimeter release model&quot; provides a unifying framework accounting for developmental changes in both synaptic efficacy and time course.","lang":"eng"}],"publication_status":"published","language":[{"iso":"eng"}],"external_id":{"isi":["000348295100015"],"pmid":["25533484"]},"department":[{"_id":"RySh"}],"date_created":"2018-12-11T11:52:39Z","tmp":{"image":"/images/cc_by.png","name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","legal_code_url":"https://creativecommons.org/licenses/by/3.0/legalcode","short":"CC BY (3.0)"},"status":"public","type":"journal_article","day":"07","publisher":"Elsevier","issue":"1","year":"2015","oa_version":"Published Version","date_updated":"2025-09-23T09:38:39Z","has_accepted_license":"1","date_published":"2015-01-07T00:00:00Z","page":"145 - 158","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","title":"Nanoscale distribution of presynaptic Ca2+ channels and its impact on vesicular release during development","month":"01","_id":"1546","citation":{"mla":"Nakamura, Yukihiro, et al. “Nanoscale Distribution of Presynaptic Ca2+ Channels and Its Impact on Vesicular Release during Development.” <i>Neuron</i>, vol. 85, no. 1, Elsevier, 2015, pp. 145–58, doi:<a href=\"https://doi.org/10.1016/j.neuron.2014.11.019\">10.1016/j.neuron.2014.11.019</a>.","short":"Y. Nakamura, H. Harada, N. Kamasawa, K. Matsui, J. Rothman, R. Shigemoto, R.A. Silver, D. Digregorio, T. Takahashi, Neuron 85 (2015) 145–158.","ieee":"Y. Nakamura <i>et al.</i>, “Nanoscale distribution of presynaptic Ca2+ channels and its impact on vesicular release during development,” <i>Neuron</i>, vol. 85, no. 1. Elsevier, pp. 145–158, 2015.","apa":"Nakamura, Y., Harada, H., Kamasawa, N., Matsui, K., Rothman, J., Shigemoto, R., … Takahashi, T. (2015). Nanoscale distribution of presynaptic Ca2+ channels and its impact on vesicular release during development. <i>Neuron</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.neuron.2014.11.019\">https://doi.org/10.1016/j.neuron.2014.11.019</a>","ama":"Nakamura Y, Harada H, Kamasawa N, et al. Nanoscale distribution of presynaptic Ca2+ channels and its impact on vesicular release during development. <i>Neuron</i>. 2015;85(1):145-158. doi:<a href=\"https://doi.org/10.1016/j.neuron.2014.11.019\">10.1016/j.neuron.2014.11.019</a>","ista":"Nakamura Y, Harada H, Kamasawa N, Matsui K, Rothman J, Shigemoto R, Silver RA, Digregorio D, Takahashi T. 2015. Nanoscale distribution of presynaptic Ca2+ channels and its impact on vesicular release during development. Neuron. 85(1), 145–158.","chicago":"Nakamura, Yukihiro, Harumi Harada, Naomi Kamasawa, Ko Matsui, Jason Rothman, Ryuichi Shigemoto, R Angus Silver, David Digregorio, and Tomoyuki Takahashi. “Nanoscale Distribution of Presynaptic Ca2+ Channels and Its Impact on Vesicular Release during Development.” <i>Neuron</i>. Elsevier, 2015. <a href=\"https://doi.org/10.1016/j.neuron.2014.11.019\">https://doi.org/10.1016/j.neuron.2014.11.019</a>."},"article_processing_charge":"Yes (in subscription journal)","pubrep_id":"482","ddc":["570"],"OA_place":"publisher","doi":"10.1016/j.neuron.2014.11.019","publist_id":"5625","OA_type":"hybrid","article_type":"original"}]