SS 2013 (310504/310514) Computational Neuroscience: Vision and Memory Lecture and Tutorial Prof. Dr. Laurenz Wiskott

Lecture (2 SWS, 2 credit points): Tuesdays 12:15-13:45 o'clock in the large INI seminar room NB 3/57. First time 09.04.2013.
Tutorial (2 SWS, 4 credit points): Tuesdays 10:30-12:00 o'clock in the large INI seminar room NB 3/57. First time 16.04.2013.

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

Goal: (i) The students should get to know a number of models and methods in computational neuroscience. (ii) They should understand the mathematics of these methods.

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

Requirements: The mathematical level of the course is mixed but generally high. 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, ...).

Certificate: 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.

Lecture and Tutorial