{"month":"05","external_id":{"pmid":["38509348 "]},"date_updated":"2025-04-14T07:54:31Z","article_processing_charge":"Yes (via OA deal)","date_published":"2024-05-01T00:00:00Z","citation":{"short":"E.J. Agnes, T.P. Vogels, Nature Neuroscience 27 (2024) 964–974.","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>.","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>.","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>","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.","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.","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>"},"author":[{"first_name":"Everton J.","full_name":"Agnes, Everton J.","last_name":"Agnes"},{"orcid":"0000-0003-3295-6181","id":"CB6FF8D2-008F-11EA-8E08-2637E6697425","last_name":"Vogels","full_name":"Vogels, Tim P","first_name":"Tim P"}],"ec_funded":1,"type":"journal_article","department":[{"_id":"TiVo"}],"publication_status":"published","doi":"10.1038/s41593-024-01597-4","publication":"Nature Neuroscience","_id":"15171","abstract":[{"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.","lang":"eng"}],"publisher":"Springer Nature","pmid":1,"oa_version":"Published Version","intvolume":"        27","status":"public","publication_identifier":{"eissn":["1546-1726"],"issn":["1097-6256"]},"page":"964-974","project":[{"_id":"0aacfa84-070f-11eb-9043-d7eb2c709234","name":"Learning the shape of synaptic plasticity rules for neuronal architectures and function through machine learning.","grant_number":"819603","call_identifier":"H2020"}],"year":"2024","title":"Co-dependent excitatory and inhibitory plasticity accounts for quick, stable and long-lasting memories in biological networks","date_created":"2024-03-24T23:01:00Z","quality_controlled":"1","volume":27,"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.","scopus_import":"1","article_type":"original","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","language":[{"iso":"eng"}],"day":"01"}