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Explore theoretical biophysics approaches to understanding animal behavior in this conference lecture delivered at the International Centre for Theoretical Sciences. Delve into how high-dimensional biological systems can be analyzed through low-dimensional theoretical frameworks, examining the mathematical principles that govern behavioral patterns and dynamics. Learn about the intersection of physics and biology in modeling complex behavioral phenomena, including the application of dynamical systems theory to understand how organisms process information and generate responses. Discover how theoretical approaches can extract generalizable principles from high-dimensional behavioral data, addressing fundamental questions about the mathematical structures underlying biological behavior. Examine the role of dimensionality reduction techniques in identifying key behavioral variables and the development of predictive models for animal behavior. Understand how concepts from statistical physics and information theory apply to behavioral analysis, including the emergence of simple patterns from complex biological systems. Investigate the challenges and opportunities in creating unifying theoretical frameworks that can explain behavioral phenomena across different species and scales, from individual neural responses to collective animal behaviors.
