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Explore a comprehensive 40-minute webinar examining how computational neuroscience approaches can reveal the complex relationships between neural activity and behavior across the entire brain. Learn about innovative data-constrained modeling techniques that bridge neurobiology and artificial intelligence to understand cognitive functions like learning, memory, and decision-making. Discover the concept of "compositional modes" - a novel framework that identifies how specialized brain submodules work together to create flexible behavioral repertoires, even when neural and behavioral modularity don't directly correspond. Examine cutting-edge research using whole-brain recordings from larval zebrafish that demonstrates how unsupervised neural network models can reveal conserved compositional patterns across individuals despite spontaneous behavior variations. Understand how behavioral and pharmacological manipulations can consistently affect these compositional modes, providing insights into the neural basis of behavior. Gain knowledge about how evolutionary innovations like brain modularity enable animals to repurpose neural circuits compositionally for diverse behaviors. The presentation covers advanced computational frameworks derived from machine learning and statistical physics, showing how multi-scale neural processes cooperate to produce important cognitive functions, with practical applications for understanding both natural and artificial intelligence systems.
