29.9. - 2.10.2008 Computational Neuroscience Lecture and Analytical Tutorial Prof. Dr. Laurenz Wiskott, Dr. Shu-Chen Li, and Dr. Jakob Heinzle

Requirements (keywords)

To follow this course to any detail you need to know basic math on the level of a high-school diploma / Abitur. For instance, you need to know elementary functions (such as cosine, sine and the exponential function), you should be able to calculate derivatives, and you should know what an integral is. You should also be able to solve simple equations with one unknown. Please consult your old math school books or some elementary algebra books from a library.

We also assume that you are familiar with some basic neuroscience concepts. For instance, we assume that you know what a neuron is.

For the part taught by Jakob Heinzle and Laurenz Wiskott it is not required to read the lecture notes or chapter or solve the exercises ahead of time (work on your math instead), but it might be usefull to have them printed out for the lectures. Do this just before the lecture, because the lecture notes might still be updated.

Location

Lectures will take place in the lecture hall of the Bernstein Center for Computational Neuroscience. On Wednesday afternoon the lecture will take place in the seminar room of the Institute for Theoretical Biology.

Tentative Schedule and Course Material

You might want to check this web page occasionally for updates.

Morning lectures go from 9:15-10:45 and 11:15-12:45; afternoon lectures go from 14:15-15:45 and 16:15-17:45. A break of up to 15 minutes might be added to each lecture. A slightly different schedule can be agreed upon on a day by day basis.

Hertz, J., Krogh, A., & Palmer, R. G. (1991). Introduction to the Theory of Neural Computation. Addison-Wesley, Redwood City, CA.