SS 2009 (310203) Computational Neuroscience: Vision and Memory Lecture and Tutorial Prof. Dr. Laurenz Wiskott

Lecture (2 SWS, 2 credit points): Thursdays 16:00-17:30 o'clock (first lecture 16.4.) in the INI seminar room ND 03/89,92.
Tutorial (2 SWS, 4 credit points): Thursdays 14:15-15:45 o'clock (first tutorial 23.4.) in the INI seminar room ND 03/89,92.

This computational neuroscience course covers models and theoretical concepts of vision and memory, such as visual receptive fields, neural map formation, visual invariances, attention, and associative memories.

The mathematical level of the course is mixed. There are some lectures that require almost no math and others that require a lot. The tutorial is almost entirely mathematical. Mathematics required include calculus (functions, derivatives, integrals, differential equations, ...), linear algebra (vectors, matrices, inner product, orthogonal vectors, basis systems, ...), and a bit of probability theory (probabilities, probability densities, Bayes' theorem, ...).

Criteria for a certificate for the tutorial are an active participation, in particular presentation of selected exercises, and at least 50% in the final exam.

This course can be given in English upon request. Course material (lecture notes and exercise sheets) will be in English in any case.

Lecture