Kavli Institute for Theoretical Physics
Data Needed to Drive Conceptual Advances About Learning
Exploring data needs for advancing learning theories, bridging timescales from milliseconds to weeks in neurobiology. Discusses mechanisms of synaptic plasticity and associative learning across molecular, cellular, and circuit levels.