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

Enroll free of charge as auditor for Computational Neuroscience at EPFL edX which gives access to exercises. If you enroll enroll on EPFL Edx you should be able to watch the videos in a format without advertisements. Alternatively, if you do not want to enroll, you can watch the videos on youtube at @gerstnerlab