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| * #40362 "Brain-Computer Interfacing" (9 LP) [[https://moseskonto.tu-berlin.de/moses/modultransfersystem/bolognamodule/ansehen.html?number=40362|IL + { SE or IL2}]] | * #40362 "Brain-Computer Interfacing" (9 LP) [[https://moseskonto.tu-berlin.de/moses/modultransfersystem/bolognamodule/ansehen.html?number=40362|IL + { SE or ND}]] |
Integrated lecture and tutorials ''Brain-Computer Interfacing'' (in English!)
Course information
Credit |
4 SWS, 6 ECTS |
Time: |
Wednesday, 10:15 am to 11:45 am (lecture) and 12:15 bis 1:45 pm (exercise) |
Location: |
TUB Marchstr. 23, Room MAR 4.044 |
Start: |
First week of lecture term |
Lecturers: |
Benjamin Blankertz, Daniel Miklody |
LSF: |
Last entry in this list. |
ISIS: |
Content
Forward and Backward Model of EEG; Event-related Potentials; Spatial Filters; Multivariate Analysis of Brain Signals; Single-Trial Classification of Spatio-Temporal Features; Regularized Discriminant Analysis; Interpretation of Spatial Patterns and Filters; Modulation of Brain Rhythms; Event-Related Synchronization and Desynchronization; Common Spatial Pattern Analysis; Classification of Spatio-Spectral Features; Coherency Analysis; Multi-Subject Learning; Experimental Design.
Requirements
Programming skills (Python); background in mathematics, in particular linear algebra and probability theory.
Helpful, but not obligatory: Knowledge in signal processing and machine learning.
Certificates
The grade is determined as 'Portfolioprüfung' according to § 47 (2) AllgStuPO with the grading system 2 of faculty IV.
- Exercises: Concurrent to the lecture, there will be a tutorial in which ten assignment sheets have to be solved. These are devoted to practical EEG analysis (programming).
- Written exams: In the first half and in the second half of the lecture, there will a written test of about 45 minutes.
Depending on the module (see next section), there are further courses and elements and make up the final grade.
Modules
This course is part of the following modules:
#40515 "Brain-Computer Interfacing (basic)" (6 LP) IL
#40362 "Brain-Computer Interfacing" (9 LP) IL + { SE or ND}
Material
- Slides / exercises will be put on the ISIS page of the course.
References
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.