SS 2010 (310203) Computational Neuroscience: Vision and Memory Lecture and Tutorial Prof. Dr. Laurenz Wiskott

Lecture (2 SWS, 2 credit points): Tuesdays 14:30-16:00 o'clock in the INI seminar room ND 03/89,92. First time 13.04.2010.
Tutorial (2 SWS, 4 credit points): Tuesdays 12:15-13:45 o'clock in the INI seminar room ND 03/89,92. First time 20.04.2010.

Exam 1: Tuesday 2010-09-28 10:00-12:30 in HNC 20. Only pen, ruler, and 1 DIN A4 sheet of handwritten formulary (Formelsammlung) are permitted. Paper will be provided.

This lecture covers models of selforganization in neural systems, in particular addressing vision (receptive fields, neural maps, invariances, attention) and associative memory (Hopfield network).

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.

Schedule