Accessibility navigation

Can dynamic functional connectivity be used to distinguish between resting-state and motor imagery in EEG-BCIs?

Lists
Tools

Rodrigues, P. G., Filho, C. A. S., Takahata, A. K., Suyama, R., Attux, R., Castellano, G., Sato, J. R., Nasuto, S. J. ORCID: https://orcid.org/0000-0001-9414-9049 and Soriano, D. C. (2022) Can dynamic functional connectivity be used to distinguish between resting-state and motor imagery in EEG-BCIs? In: Benito, R. M., Cherifi, C., Cherifi, H., Moro, E., Rocha, L. M. and Sales-Pardo, M. (eds.) Complex Networks & Their Applications X. Volume 2, Proceedings of the Tenth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021. Studies in Computational Intelligence (1016). Springer, Cham, pp. 688-699. ISBN 9783030934125

Full text not archived in this repository.

It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

To link to this item DOI: 10.1007/978-3-030-93413-2_57


Item Type:Book or Report Section
Refereed:Yes
Divisions:Life Sciences > School of Biological Sciences > Department of Bio-Engineering
ID Code:103371
Publisher:Springer, Cham
Altmetric
Deposit Details

University Staff: Request a correction | Centaur Editors: Update this record

Page navigation

See also