Integrated lecture and tutorials ''Acquisition and Analysis of Neuronal Data''
Dates, Lecturers, and Location
Module |
Part of the Master Program Computation Neuroscience |
Dates and Rooms: |
Lecture: Fridays from 09:15 to 10:45 in the lecture hall 102 (Haus 6) |
Tutorials: Fridays from 11:00 (st!) to 12:30 in the computer pool of Haus 2 |
|
Lecturers: |
Part 1: Richard Kempter |
Part 2: Benjamin Blankertz |
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Location: |
Bernstein Center for Computational Neurosciences Berlin, Haus 6 (lecture) and Haus 2 (tutorials), Philippstr. 13 |
University calendar: |
LSF entry to be created |
Further Information on the web page of the BCCN-B.
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:
Part 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) - see here for details on the first part.
Part 2: Statistical analysis of electroencephalogram (EEG) data, e.g., investigation of event-related potentials (ERPs) and event-related desynchronization (ERD); spatial filters; classification, adaptive classifiers.
Required background knowledge: Basic knowledge in Neurobiology and Mathematics at the level of the first year of the Master Program in Computational Neuroscience.
Course Certificates
To obtain course certificates, at least 75% of the points in the exercises (5 ECTS) must be attained.
To obtain the full 5 ECTS for the tutorial, every student has to complete an additional small project (2 ECTS). The tasks of the project in AAND will be distributed in the lecture on July 6th and put on this web page. The tasks will be similar to the exercises (EEG data analysis with Matlab) and solutions have to be submitted until October 1st. The idea is to have small groups of two or three students who work together on the tasks. Each group will receive a different task.
The final oral exam on the module "Acquisition and Analysis of Neuronal Data" will take place on October 17, 2012.
Material
Removed. Look at the more recent lectures.
Projects
To obtain the full 5 ECTS for the tutorial, every individual student has to complete an additional small programming project. Project topics will be distributed at the end of the lecture series, and every student should work on her/his topic in the lecture-free time (July/August/September 2010).
Students are required to turn in a short written report, that is, a self-contained description of results. The report should comprise a single PDF file (including an Introduction, a short description of the experiment, a Results/Discussion section as well as labeled Figures with captions) and the Matlab code as an attachment. Guidelines for Writing a Scientific Report might be helpful.
An overview of the projects is available here.
Project BCI #01: Rapid Serial Visual Presentation - Tasks | Paper1 | Paper2 | Data
Project BCI #02: Motor Imagery based BCI - Tasks | Paper1 | Paper2 | Data
Project BCI #03: Covert Shifts of Visual Attention - Tasks | Paper1 | Paper2 | Data
Project BCI #04: 2D Auditory Speller - Tasks | Paper1 | Paper2 | Data
Background material
Part 2 (EEG)
Blankertz B, Lemm S, Treder MS, Haufe S, Müller KR. Single-trial analysis and classification of ERP components - a tutorial. NeuroImage, 56:814-825, 2011. pdf url
Blankertz B, Tomioka R, Lemm S, Kawanabe M, Müller KR. Optimizing spatial filters for robust EEG single-trial analysis. IEEE Signal Proc Magazine, 25(1):41-56, 2008. pdf url
Treder MS, Blankertz B, (C)overt attention and visual speller design in an ERP-based brain-computer interface. Behav Brain Funct, 6:28, 2010. url
Parra LC, Spence CD, Gerson AD, Sajda P. Recipes for the linear analysis of EEG. NeuroImage, 28(2):326-341, 2005. pdf
Parra LC, Christoforou C, Gerson AD, Dyrholm M, Luo A, Wagner M, Philastides M, Sajda P. Spatiotemporal Linear Decoding of Brain State. IEEE Signal Proc Magazine, 25(1): 107-115, 2008. pdf
Key AP, Dove GO, Maguire MJ. Linking brainwaves to the brain: an ERP primer. Dev Neuropsychol. 2005;27(2):183-215. pdf
Pfurtscheller G, Lopes da Silva FH. Event-related EEG/MEG synchronization and desynchronization: basic principles. Clin Neurophysiol, 110(11):1842-1857, Nov 1999. pdf
Wolpaw JR, Birbaumer N, McFarland DJ, Pfurtscheller G, Vaughan TM. Brain-computer interfaces for communication and control. Clin. Neurophysiol., 113:767-791, 2002. pdf
Dornhege G, Millán J del R, Hinterberger T, McFarland DJ, Müller KR, editors. Toward Brain-Computer Interfacing. MIT Press, Cambridge, MA, 2007.
Wolpaw JR, Wolpaw EW, editors. Brain-Computer Interfaces: Principles and Practice. Oxford University Press, 2012. ISBN-13: 978-0195388855.