Reverse-Engineering Neural and Cognitive Representations with Multilevel Computational Theories

Explore a conference talk on reverse-engineering neural and cognitive representations using multilevel computational theories. Delve into the complex journey from raw retinal inputs to our perception of objects, scenes, and predictions. Discover novel computational frameworks that bridge cognitive and neural levels, providing insights into neural population dynamics in humans and macaques. Examine evidence suggesting that neural activity involves building and manipulating generative models of scene formation, dynamic unfolding, and sensory signal projection. Gain a deeper understanding of spontaneous visual processing and goal-directed action through this integrative approach presented by Ilker Yildirim from Yale University at IPAM's Analyzing High-dimensional Traces of Intelligent Behavior Workshop.