Predicting modular functions and neural coding of behavior from a synaptic wiring diagram.

Autor: Vishwanathan A; Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA. vishwanathan.ashwin@gmail.com., Sood A; Center for Neuroscience, University of California, Davis, Davis, CA, USA., Wu J; Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA.; Center for Computational Neuroscience, Flatiron Institute, New York, NY, USA., Ramirez AD; Institute for Computational Biomedicine and the Department of Physiology and Biophysics, Weill Cornell Medical College, New York, NY, USA.; Department of Physiology and Pharmacology, SUNY Downstate Health Sciences University, New York, NY, USA., Yang R; Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA.; Computer Science Department, Princeton University, Princeton, NJ, USA., Kemnitz N; Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA., Ih D; Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA., Turner N; Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA.; Computer Science Department, Princeton University, Princeton, NJ, USA., Lee K; Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA.; Brain & Cognitive Sciences Department, Massachusetts Institute of Technology, Cambridge, MA, USA., Tartavull I; Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA., Silversmith WM; Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA., Jordan CS; Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA., David C; Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA., Bland D; Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA., Sterling A; Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA., Seung HS; Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA.; Computer Science Department, Princeton University, Princeton, NJ, USA., Goldman MS; Center for Neuroscience, University of California, Davis, Davis, CA, USA. msgoldman@ucdavis.edu.; Department of Neurobiology, Physiology and Behavior, University of California, Davis, Davis, CA, USA. msgoldman@ucdavis.edu.; Department of Ophthalmology and Vision Science, University of California, Davis, Davis, CA, USA. msgoldman@ucdavis.edu., Aksay ERF; Institute for Computational Biomedicine and the Department of Physiology and Biophysics, Weill Cornell Medical College, New York, NY, USA. ema2004@med.cornell.edu.
Jazyk: angličtina
Zdroj: Nature neuroscience [Nat Neurosci] 2024 Dec; Vol. 27 (12), pp. 2443-2454. Date of Electronic Publication: 2024 Nov 22.
DOI: 10.1038/s41593-024-01784-3
Abstrakt: 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 position and neural dynamics. These predictions are verified statistically with calcium imaging-based neural activity recordings. This work demonstrates how connectome-based brain modeling can reveal previously unknown anatomical structure in a neural circuit and provide insights linking network form to function.
Competing Interests: Competing interests: H.S.S., N.K., D.I., N.T. and K.L. have financial interests in Zetta AI, LLC. The remaining authors declare no competing interests.
(© 2024. The Author(s).)
Databáze: MEDLINE
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