Lecture + Tutorial, Summer 2008 Computational Neuroscience: Acquisition and Analysis of Neural Data Richard Kempter, Benjamin Blankertz, Guido Nolte

Lecture: Dr. Richard Kempter, Dr. Benjamin Blankertz, and Dr. Guido Nolte,
Tutorial on spike trains: Dr. Roland Schaette and Paula Kuokkanen
Tutorial on EEG data: Dr. Benjamin Blankertz and Dr. Guido Nolte

Date: From 18-April-2008 to 18-July-2008.

Location: Lectures and tutorials take place at the Bernstein Center for Computational Neurosciences Berlin, Haus 6, Philippstr. 13.

Times:
Lectures (2 SWS, 2 ECTS): Fridays from 10:00 to 11:30 am in the lecture hall 102
Tutorials (2 SWS, 5 ECTS): Fridays from 12:30 to 14:00 pm in rooms 115 and/or 215

Target Group: Students of Computational Neuroscience, Medical Neuroscience, Biology, Biophysics, Physics, Mathematics, and Computer Science.

Requirements: Basic knowledge in Neurobiology and Mathematics at the level of the first year of the Masters Program in Computational Neuroscience.

Topics: This part of the module ''Acquisition and Analysis of Neural Data'' of the Master Program in Computational Neuroscience provides knowledge on statistical analyses of neural data:

(1) Analysis of spike trains (spike statistics, neural coding, theory of point processes, linear systems theory, correlation analysis, spike-triggered average, reverse correlation, STRF, neural decoding, signal detection theory, infomation theory, signal-to-noise ratio analysis).

(2) Statistical analysis of electroencephalogram (EEG) data, e.g., forward calculation; investigation of event-related potentials (ERPs) and event-related desynchronization (ERD); spatial filters; classification.

Course Certificates: To obtain course certificates, at least 75% of the lectures (2 ECTS) must be attended, and at least 75% of the points in the exercises (5 ECTS) must be obtained.

Background material for the analysis of spike trains:
P. Dayan and L.F. Abbott (2001) Theoretical Neuroscience. MIT Press, Cambridge, Massachusetts.