Models of Long-Term Plasticity: Hebbian Learning

This lecture covers the classification of plasticity into short-term and long-term, Hebbian learning rules, spike-timing models of plasticity, and the online learning of memories. It delves into rate-based Hebbian learning, the Bienenstock-Cooper-Munro rule, and the functional consequences of Hebbian learning in detecting correlations in the input and developing receptive fields. The lecture also explores synaptic changes for the development of the cortex, models for Hebbian long-term plasticity, and the implications of BCM rule in avoiding blow-up and promoting competition.