## Theoretical Neuroscience

Introductory course on theoretical neuroscience. Neuronal biophysics: ions, membranes, channels. Single neuron models: Hodgkin-Huxley, 2D reductions, phase plane analysis. Leaky integrate-and-fire model, response to stochastic inputs. Models of synapses and synaptic plasticity. Models of networks at various scales. Network dynamics: rate models, networks of spiking neurons. Coding and decoding by single neurons and populations of neurons. Unsupervised learning, supervised learning, reinforcement learning.