Computational Neuroscience: Modeling the Brain

Course Overview

Computational neuroscience gives us the tools to model how neural circuits process information.

What You’ll Learn

• Single Neuron Models — Hodgkin-Huxley, integrate-and-fire
• Neural Coding — rate coding, temporal coding
• Network Models — recurrent networks, attractor dynamics
• Synaptic Plasticity — Hebbian learning, STDP
• Bayesian Brain — predictive coding