Predicting Motor Learning Performance from Electroencephalographic Data

Meyer, T.; Peters, J.; Zander, TO; Schölkopf, B.; Grosse-Wentrup, M.

doi:10.1186/1743-0003-11-24

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Predicting Motor Learning Performance from Electroencephalographic Data

Meyer, T., Peters, J., Zander, T., Schölkopf, B., & Grosse-Wentrup, M. (2014). Predicting Motor Learning Performance from Electroencephalographic Data. Journal of NeuroEngineering and Rehabilitation, 11: 24. doi:10.1186/1743-0003-11-24.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0025-0671-9 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0028-8052-5

Genre: Journal Article

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Creators:
Meyer, T.¹, Author
Peters, J.¹, Author
Zander, TO¹, Author
Schölkopf, B.¹, Author
Grosse-Wentrup, M.¹, Author

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1Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497647

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Free keywords: Dept. Schölkopf

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Dates: Published Online: 2014

Publication Status: Published online

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Identifiers: DOI: 10.1186/1743-0003-11-24
BibTex Citekey: MeyerPZSG2013

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Title: Journal of NeuroEngineering and Rehabilitation

Source Genre: Journal

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Publ. Info: BioMed Central

Pages: - Volume / Issue: 11 Sequence Number: 24 Start / End Page: - Identifier: ISSN: 1743-0003