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

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.

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Publication Details

Journal
Nature Neuroscience
Published
2024-11-22
DOI
https://doi.org/10.1038/s41593-024-01784-3
Citations
25
Primary Topic
Neural dynamics and brain function
Type
article
Field-Weighted Citation Impact
7.88

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article

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

Devon L. Jones, Dodam Ih, Mark S. Goldman, Ben Silverman et al.
25 citations
Nature Neuroscience
Neural dynamics and brain function
7.88
article

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

Devon L. Jones, Dodam Ih, Mark S. Goldman, Ben Silverman, Celia David, Kai Wille, Marissa Sorek, S. Sethu K. Reddy, Ryan Willie, Sarah Morejohn, Selden Koolman, Anthony J. Pelegrino, Runzhe Yang, Ignacio Tartavull, Nicholas L. Turner, H. Sebastian Seung, William Silversmith, Nico Kemnitz, Alexandro D. Ramirez, Jingpeng Wu, Emre Aksay, Doug Bland, Amy Sterling, Alex Sood, Kisuk Lee, Sarah Williams, Ashwin Vishwanathan, Chris S. Jordan
article en
25 citations

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 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.

Nature NeuroscienceVol. 27(12)
Massachusetts Eye and Ear Infirmary (US), SUNY Downstate Health Sciences University (US), Princeton University (US), Cornell University (US), Flatiron Health (United States) (US), Flatiron Institute (US), Massachusetts Institute of Technology (US), University of California, Davis (US)
National Eye Institute, National Institute of Neurological Disorders and Stroke, Division of Cancer Epidemiology and Genetics, National Cancer Institute
Openalex Percentile: Top 2%
Neural dynamics and brain function
7.88
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