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Lecture + Tutorial, Summer 2012

Computational Neuroscience:
Acquisition and Analysis of Neural Data

Richard Kempter, Benjamin Blankertz

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Lecture: Richard Kempter, Benjamin Blankertz
Tutorial on spike trains: Paula Kuokkanen, Nikolay Chenkov, and Jose Donoso.
Tutorial on EEG data: Benjamin Blankertz


Date: From 13-April-2012 to 13-July-2012.

Location: Lectures and tutorials take place at the Bernstein Center for Computational Neuroscience Berlin.

Times:
Lectures (2 SWS, 2 ECTS): Fridays from 09:15 am to 10:45 am, Lecture Hall 102, Haus 6
Tutorials (2 SWS, 5 ECTS): Fridays from 11:00 am to 12:30 pm, Computer Pool, Haus 2

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 course is the second part of the module ''Acquisition and Analysis of Neural Data'' of the Master Program in Computational Neuroscience, and this second part focuses 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). Please click here for details on the first part of the tutorial.

(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. Please click here for details on the second part.


Lectures:
(01) 13.04.2012 The firing rate (Richard Kempter, RK)
(02) 20.04.2012 Spike-train statistics: spike-triggered average and reverse correlation (RK)
(03) 27.04.2012 Correlation functions and the neural code (RK)
(04) 04.05.2012 Neural encoding (RK)
(05) 11.05.2012 Neural decoding (RK)
(06) 25.05.2012 Information theory (RK)
(07) 01.06.2012 BCI intro, ERPs, linear model of EEG (Benjamin Blankertz, BB)
(08) 08.06.2012 ERP-based BCIs, linear classification, spatial filters (BB)
(09) 15.06.2012 ERD-based BCIs, Common Spatial Pattern (CSP) analysis (BB)
(10) 22.06.2012 Experimental design, neurotechnology applications (BB)
(11) 29.06.2012 (BB )
(12) 06.07.2012 (BB)

Course Certificates: To obtain a course certificate, at least 75% of the points in the weekly exercises must be obtained.

To obtain the full 5 ECTS for the tutorial, every student has to complete an additional small project (2 ECTS). Topics will be distributed by Benjamin Blankertz.

The final oral exam on the module "Acquisition and Analysis of Neuronal Data" will take place on October 17, 2012.


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


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