Neuronal Dynamics - Computational Neuroscience of Single Neurons

This course, designed for Physicists and mathematically trained Life Scientists focuses on modeling of single neurons . It covers classical topics of computational neuroscience such as the Hodgkin-Huxley models, and integrate-and-fire models, as well as modern state-of-the art approaches such as Generalized Linear Models or biophyiscal multi-compartment models.

Mathematical tools such as phase plane analysis, delta-function, and 'noise' are systematically introduced

Mathematical prerequisites:

• Calculus
• Differential Equations
• Probability

Enrol free of charge as auditor for Computational Neuroscience at EPFL edX which gives access to exercises