{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Vishwanathan A"],"funding":["U.S. Department of Health & Human Services | NIH | National Eye Institute","U.S. Department of Health & Human Services | NIH | NCI | Division of Cancer Epidemiology and Genetics, National Cancer Institute (National Cancer Institute Division of Cancer Epidemiology and Genetics)","NEI NIH HHS","U.S. Department of Health & Human Services | NIH | National Institute of Neurological Disorders and Stroke","U.S. Department of Health & Human Services | NIH | National Institute of Neurological Disorders and Stroke (NINDS)","U.S. Department of Health & Human Services | NIH | National Eye Institute (NEI)","NINDS NIH HHS","NCI NIH HHS","U.S. Department of Health & Human Services | NIH | NCI | Division of Cancer Epidemiology and Genetics, National Cancer Institute"],"pagination":["2443-2454"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11614741"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["27(12)"],"pubmed_abstract":["A long-standing goal in neuroscience is to understand how a circuit's form influences its function. Here, we reconstruct and analyze a synaptic wiring diagram of the larval zebrafish brainstem to predict key functional properties and validate them through comparison with physiological data. We identify modules of strongly connected neurons that turn out to be specialized for different behavioral functions, the control of eye and body movements. The eye movement module is further organized into two three-block cycles that support the positive feedback long hypothesized to underlie low-dimensional attractor dynamics in oculomotor control. We construct a neural network model based directly on the reconstructed wiring diagram that makes predictions for the cellular-resolution coding of eye pos"],"journal":["Nature neuroscience"],"pubmed_title":["Predicting modular functions and neural coding of behavior from a synaptic wiring diagram."],"pmcid":["PMC11614741"],"funding_grant_id":["R01 EY021581","UH2 CA203710","K99 EY027017","EY021581","U19 NS104648","R00 EY027017","R01 NS104926","NS104682","EY027017","EY027036","R01 EY027036","CA203710"],"pubmed_authors":["Sood A","Wu J","Ih D","Tartavull I","Lee K","Sorek M","Jones D","Wille K","Jordan CS","Aksay ERF","Seung HS","Eyewirers","Silverman B","Turner N","Bland D","Silversmith WM","Willie R","David C","Goldman MS","Sterling A","Reddy S","Ramirez AD","Koolman S","Vishwanathan A","Yang R","Morejohn S","Pelegrino A","Williams S","Kemnitz N"],"additional_accession":[]},"is_claimable":false,"name":"Predicting modular functions and neural coding of behavior from a synaptic wiring diagram.","description":"A long-standing goal in neuroscience is to understand how a circuit's form influences its function. Here, we reconstruct and analyze a synaptic wiring diagram of the larval zebrafish brainstem to predict key functional properties and validate them through comparison with physiological data. We identify modules of strongly connected neurons that turn out to be specialized for different behavioral functions, the control of eye and body movements. The eye movement module is further organized into two three-block cycles that support the positive feedback long hypothesized to underlie low-dimensional attractor dynamics in oculomotor control. We construct a neural network model based directly on the reconstructed wiring diagram that makes predictions for the cellular-resolution coding of eye pos","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Dec","modification":"2025-04-04T00:47:01.039Z","creation":"2025-04-04T00:47:01.039Z"},"accession":"S-EPMC11614741","cross_references":{"pubmed":["39578573"],"doi":["10.1038/s41593-024-01784-3"]}}