Computational neurosciences: neuronal dynamics

Lecturer: Wulfram Gerstner.

Assistants: Louis Pezon, Kasper Smeets, Shuqi Wang

Lectures on Monday 9.15 am - 1 pm  (INM200)

Neuronal networks, consisting of neurons and synapses that form changeable connexions between the neurons, are thought to be the basis of learning, memory, and thinking. In this course we develop and use mathematical modeling techniques to describe neuronal activity and discuss aspects of neuronal dynamics, learning, and memory.