Machine-Learning Approaches to BCI in Tübingen

Bensch, M; Bogdan M, Hill, NJ; Lal, TN; Rosenstiel W, Schölkopf, B; Schröder, M

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Machine-Learning Approaches to BCI in Tübingen

Bensch, M., Bogdan M, Hill, N., Lal, T., Rosenstiel W, Schölkopf, B., & Schröder, M. (2005). Machine-Learning Approaches to BCI in Tübingen. Talk presented at Brain-Computer Interface Technology. Rensselaerville, New York.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-D545-F Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-D546-D

Genre: Talk

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Creators:
Bensch, M, Author
Bogdan M, Hill, NJ¹, Author
Lal, TN¹, Author
Rosenstiel W, Schölkopf, B¹, Author
Schröder, M², 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, ou_1497794

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Dates: Date issued: 2005-06

Publication Status: Issued

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Identifiers: BibTex Citekey: 4039

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Title: Brain-Computer Interface Technology

Place of Event: Rensselaerville, New York

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