Correlations of Motor Adaptation Learning and Modulation of Resting-State 
Sensorimotor EEG Activity

Ozdenizci, O.; Yalcin, M.; Erdogan, A.; Patoglu, V.; Grosse-Wentrup, M; Cetin, M.

doi:10.3217/978-3-85125-533-1-70

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Correlations of Motor Adaptation Learning and Modulation of Resting-State Sensorimotor EEG Activity

Ozdenizci, O., Yalcin, M., Erdogan, A., Patoglu, V., Grosse-Wentrup, M., & Cetin, M. (2017). Correlations of Motor Adaptation Learning and Modulation of Resting-State Sensorimotor EEG Activity. In G. R. Müller-Putz, D. Steyrl, S. C. Wriessnegger, & R. Scherer (Eds.), Proceedings of the 7th Graz Brain-Computer Interface Conference 2017 - From Vision to Reality (pp. 384-388). Graz, Austria: Verlag der Technischen Universität Graz. doi:10.3217/978-3-85125-533-1-70.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0001-1E7B-5 Version Permalink: https://hdl.handle.net/21.11116/0000-0001-1E7C-4

Genre: Conference Paper

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Creators:
Ozdenizci, O.¹, Author
Yalcin, M.¹, Author
Erdogan, A.¹, Author
Patoglu, V.¹, Author
Grosse-Wentrup, M², Author
Cetin, M.¹, Author

Affiliations:
1External Organizations, ou_persistent22
2Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497647

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Free keywords: Abt. Schölkopf

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Language(s): eng - English

Dates: Published Online: 2017-09

Publication Status: Published online

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Identifiers: DOI: 10.3217/978-3-85125-533-1-70
BibTex Citekey: Ozdenizcietal17b

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Title: Graz Brain-Computer Interface Conference 2017

Place of Event: Graz, Austria

Start-/End Date: 2017-09-18 - 2017-09-22

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Title: Proceedings of the 7th Graz Brain-Computer Interface Conference 2017 - From Vision to Reality

Source Genre: Proceedings

Creator(s):
Müller-Putz, Gernot R., Editor
Steyrl, David, Editor
Wriessnegger, Selina C., Editor
Scherer, Reinhold, Editor

Affiliations:
-

Publ. Info: Graz, Austria : Verlag der Technischen Universität Graz

Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 384 - 388 Identifier: DOI: 10.3217/978-3-85125-533-1
ISBN: 978-3-85125-533-1
ISSN: 2311-0422