Synaptic Plasticity and Learning: F7 Triplet STDP model

Related lectures (32)

Page 3 of 4

Explores how synaptic plasticity mechanisms lead to tightly interconnected neurons and how neuron shapes influence micro-connectivity trends.

Explores the cellular mechanisms of synaptic plasticity, including LTP, LTD, and STDP.

Explains handling synapses, presynaptic cells, and multisynaptic connections in a neuron model.

Discusses dendrites as cables, covering the cable equation derivation and current conservation in coupled compartments.

Explores attractor networks, spiking neurons, memory data, and realistic networks in neural dynamics.

Explores the evolutionary perspective on surprise, curiosity, and reward, focusing on the role of primary and secondary reward signals.

Explores stochastic spike arrival in single neurons and the impact of network noise.

Explores interspike intervals, renewal processes, and escape noise experiments in neuronal dynamics.

Covers Hebbian learning, reinforcement learning, types of learning, neuron models, learning rules, and weight homeostasis.

Explores the Generalized Integrate-and-Fire Model and the Nonlinear Integrate-and-Fire Model.