Data Needed to Drive Conceptual Advances About Learning

Explore a thought-provoking discussion on the data required to drive conceptual advances in learning research. Recorded as part of the Timescales of Plasticity and Underlying Mechanisms conference at the Kavli Institute for Theoretical Physics, this 41-minute talk delves into the long-standing question of timescales in the neurobiology of learning. Examine how the brain associates events separated by varying time intervals, from seconds to weeks, despite known biological mechanisms for synaptic changes occurring within milliseconds. Gain insights into the molecular, cellular, and circuit-level mechanisms used by the brain to bridge multiple timescales of experience. Discover how this conference aims to assemble an up-to-date understanding of biological mechanisms supporting associative learning across different timescales, complementing the main program's computational focus with an integrated analysis of statistical learning spanning molecular, cellular, circuit, and behavioral-level phenomena.

Discussion: What data are needed to drive conceptual advances about learning? ▸ #brainlearn-c23