Lecture + Tutorial, Summer 2011
Computational Neuroscience:
Acquisition and Analysis of Neural Data
Richard Kempter, Benjamin Blankertz
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Lecture + Tutorial, Summer 2011Computational Neuroscience:
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Lecture:
Richard Kempter,
Benjamin Blankertz
Tutorial on spike trains:
Paula Kuokkanen,
Jan-Hendrik Schleimer, Nikolay Chenkov
Tutorial on EEG data: Benjamin Blankertz
Date: From 15-April-2011 to 15-July-2011.
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.
| (01) | 15.04.2011 | The firing rate (Richard Kempter, RK) |
| (02) | 29.04.2011 | Spike-train statistics: spike-triggered average and reverse correlation (RK) |
| (03) | 06.05.2011 | Correlation functions and the neural code (RK) |
| (04) | 13.05.2011 | Neural encoding (RK) |
| (05) | 20.05.2011 | Neural decoding (RK) |
| (06) | 27.05.2011 | Information theory (RK) |
| (07) | 03.06.2011 | BCI intro, ERPs, linear model of EEG (Benjamin Blankertz, BB) |
| (08) | 10.06.2011 | ERP-based BCIs, linear classification, spatial filters (BB) |
| (09) | 17.06.2011 | ERD-based BCIs, Common Spatial Pattern (CSP) analysis (BB) |
| (10) | 24.06.2011 | Experimental design, neurotechnology applications (BB) |
| (11) | 01.07.2011 | (Carmen Vidaurre, CV) |
| (12) | 08.07.2011 | (CV) |
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 in May 2011. More information can be obtained here.
The final oral exam on the module "Acquisition and Analysis of Neuronal Data" will take place on September 20th, 2011.
Background material for the analysis of spike trains:
P. Dayan and L.F. Abbott (2001)
Theoretical Neuroscience.
MIT Press, Cambridge, Massachusetts.