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  Multitask Learning for Brain-Computer Interfaces

Alamgir, M., Grosse-Wentrup, M., & Altun, Y. (2010). Multitask Learning for Brain-Computer Interfaces. In Y. Teh, & M. Titterington (Eds.), JMLR Workshop and Conference Proceedings (pp. 17-24). Cambridge, MA, USA: JMLR.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-C048-5 Version Permalink: http://hdl.handle.net/21.11116/0000-0002-81F8-4
Genre: Conference Paper

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 Creators:
Alamgir, M1, 2, Author              
Grosse-Wentrup, M1, 2, Author              
Altun, Y1, 2, Author              
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: Brain-computer interfaces (BCIs) are limited in their applicability in everyday settings by the current necessity to record subjectspecific calibration data prior to actual use of the BCI for communication. In this paper, we utilize the framework of multitask learning to construct a BCI that can be used without any subject-specific calibration process. We discuss how this out-of-the-box BCI can be further improved in a computationally efficient manner as subject-specific data becomes available. The feasibility of the approach is demonstrated on two sets of experimental EEG data recorded during a standard two-class motor imagery paradigm from a total of 19 healthy subjects. Specifically, we show that satisfactory classification results can be achieved with zero training data, and combining prior recordings with subjectspecific calibration data substantially outperforms using subject-specific data only. Our results further show that transfer between recordings under slightly different experimental setups is feasible.

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 Dates: 2010-05
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: 6504
 Degree: -

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Title: Thirteenth International Conference on Artificial Intelligence and Statistics (AI & Statistics 2010)
Place of Event: Chia Laguna Resort, Italy
Start-/End Date: 2010-05-13 - 2010-05-15

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Title: JMLR Workshop and Conference Proceedings
Source Genre: Proceedings
 Creator(s):
Teh, YW, Editor
Titterington, M, Editor
Affiliations:
-
Publ. Info: Cambridge, MA, USA : JMLR
Pages: - Volume / Issue: 9 Sequence Number: - Start / End Page: 17 - 24 Identifier: -