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Computational Intelligence and Neuroscience
Volume 2017, Article ID 8163949, 9 pages
https://doi.org/10.1155/2017/8163949
Research Article

Convolutional Neural Networks with 3D Input for P300 Identification in Auditory Brain-Computer Interfaces

Department of Electrical Engineering, Nagaoka University of Technology, 1603-1 Kamitomioka, Nagaoka, Niigata 940-2188, Japan

Correspondence should be addressed to Eduardo Carabez; pj.ca.tuakoagan.nts@odraude

Received 3 May 2017; Revised 31 August 2017; Accepted 10 September 2017; Published 7 November 2017

Academic Editor: Athanasios Voulodimos

Copyright © 2017 Eduardo Carabez et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Eduardo Carabez, Miho Sugi, Isao Nambu, and Yasuhiro Wada, “Convolutional Neural Networks with 3D Input for P300 Identification in Auditory Brain-Computer Interfaces,” Computational Intelligence and Neuroscience, vol. 2017, Article ID 8163949, 9 pages, 2017. https://doi.org/10.1155/2017/8163949.