Lecture + Tutorial, Summer 2015
Computational Neuroscience:
Acquisition and Analysis of Neural Data
Richard Kempter, Benjamin Blankertz
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Lecture + Tutorial, Summer 2015Computational Neuroscience:
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Lecture:
Richard Kempter,
Benjamin Blankertz
Tutorial on spike trains:
Paula Kuokkanen and Jens Kremkow
Tutorial on EEG data:
Benjamin Blankertz
Date: From 17-April-2015 to 17-July-2015.
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.
| (01) | 17.04.2015 | The firing rate (Richard Kempter, RK) |
| (02) | 24.04.2015 | Spike-train statistics: spike-triggered average and reverse correlation (RK) |
| 01.05.2015 | - no lecture - | |
| (03) | 08.05.2015 | Correlation functions and the neural code (RK) |
| (04) | 15.05.2015 | Neural encoding (RK) |
| (05) | 22.05.2015 | Neural decoding (RK) |
| (06) | 29.05.2015 | Information theory (RK) |
| (07) | 05.06.2015 | Overview BCI; Characterization of Gaussian Distributions (Benjamin Blankertz, BB) |
| (08) | 12.06.2015 | ERP-based BCIs; Spatio-Temporal Features; LDA (BB) |
| (09) | 19.06.2015 | Shrinkage of the Empirical Covariance Matrix (BB) |
| (10) | 26.06.2015 | Linear Model of EEG; Spatial Patterns and Spatial Filters (BB) |
| (11) | 03.07.2015 | Modulations of Brian Rhythms; Common Spatial Pattern Analysis (BB) |
| (12) | 10.07.2015 | Adaptive Classification (supervised and unsupervised) (BB) |
| (13) | 17.07.2015 | TBA |
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 (weekly exercises are 3 ECTS), students have to complete an additional small project (2 ECTS). Project topics will be distributed by Richard Kempter not later than 15.5.2015. Pairs of students should then work on a project for about 6 weeks. Results will be presented on 26.6.2015, 14:00-16:00h in short talks. Slides and the program code must be turned in the same day. You can use any programming language/environment you wish (MatLab, Python, Mathematica, C++, etc.).
Presentations will be evaluated. A positive evaluation is a prerequisite for registration to the oral exam! Please consider that corrections might become necessary, and the corrected program code needs to be positively reevaluated 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 01-October-2015.
Background material for the analysis of spike trains:
P. Dayan and L.F. Abbott (2001)
Theoretical Neuroscience.
MIT Press, Cambridge, Massachusetts.