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Lecture + Tutorial, Summer 2014

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
Tutorial on EEG data: Benjamin Blankertz


Date: From 25-April-2014 to 18-July-2014.

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, Lecture Hall / 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, information theory, signal-to-noise ratio analysis). This Moodle Course provides details on the tutorials.

(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 this part.


Lectures:
(01) 25.04.2014 The firing rate (Richard Kempter, RK)
(02) 02.05.2014 Spike-train statistics: spike-triggered average and reverse correlation (RK)
(03) 09.05.2014 Correlation functions and the neural code (RK)
(04) 16.05.2014 Neural encoding (RK)
(05) 23.05.2014 Neural decoding (RK)
30.05.2014 - no lecture -
(06) 06.06.2014 Information theory (RK)
(07) 13.06.2014 Overview BCI; Characterization of Gaussian Distributions (Benjamin Blankertz, BB)
(08) 20.06.2014 ERP-based BCIs; Spatio-Temporal Features; LDA (BB)
(09) 27.06.2014 Shrinkage of the Empirical Covariance Matrix (BB)
(10) 04.07.2014 Linear Model of EEG; Spatial Patterns and Spatial Filters (BB)
(11) 11.07.2014 Modulations of Brian Rhythms; Common Spatial Pattern Analysis (BB)
(12) 18.07.2014 Adaptive Classification (supervised and unsupervised) (BB)

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


Projects: To obtain the full 5 ECTS for the tutorial, students have to complete an additional small project (2 ECTS). Project topics will be distributed by Benjamin Blankertz.

Reports will be evaluated. A positively evaluated report is a prerequisite for registration to the oral exam! Please consider that corrections might become necessary, and the corrected report needs to be evaluated again before the registration to the oral exam.


Exam: The final oral exam on the module "Acquisition and Analysis of Neuronal Data" will take place on October-2-2014.


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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