Lectures related to Synaptic Plasticity: Mechanisms and Models

Explores the Hodgkin-Huxley model, action potential phases, ion dynamics, cable theory, and compartmental modeling in neuronal excitability.

Focuses on assembling neural network building blocks and dealing with data sparseness using various strategies and assumptions.

Explores the role of synapses in computational neuroscience and the models of excitatory and inhibitory synapses.

Explores Hebbian learning, synaptic plasticity, and models for long-term plasticity.

Explores human synapses' short-term plasticity, firing rate, and information transfer mechanisms in neuronal microcircuits.

Explores synaptic plasticity, spike-timing models, and online memory learning challenges in computational neuroscience.

Explores the transition from spiking to rate models in synaptic plasticity.