ePoster · Computational Neuroscience
Deep generative networks as a computational approach for global non-linear control modeling in the nematode C. elegans
Doris Voina, Steven Brunton, Jose Kutz · Bernstein Conference 2024
A long-standing premise in theoretical neuroscience holds that the complex interactions between neurons or, at a different systems level, between networks in the nervous system can be expressed in terms of an underlying system of nonlinear dynamics. A classical approach has been dynamical systems theory, whereby biophysical processes in the brain can be naturally formalized in terms of differential equations (ODEs) that may be capable of offering an explicit and interpretable account of how different biochemical and physiological processes in the brain evolve to produce the complex repertoire