Decoding phase-based information from steady-state visual evoked potentials with use of complex-valued neural network

Nikolay V. Manyakov*, Nikolay Chumerin, Adrien Combaz, Arne Robben, Marijn van Vliet, Marc M. Van Hulle

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

6 Citations (Scopus)

Abstract

In this paper, we report on the decoding of phase-based information from steady-state visual evoked potential (SSVEP) recordings by means of a multilayer feedforward neural network based on multi-valued neurons. Networks of this kind have inputs and outputs which are well fitted for the considered task. The dependency of the decoding accuracy w.r.t. the number of targets and the decoding window size is discussed. Comparing existing phase-based SSVEP decoding methods with the proposed approach, we show that the latter performs better for the larger amount of target classes and the sufficient size of decoding window. The necessity of the proper frequency selection for each subject is discussed.

Original languageEnglish
Title of host publicationIntelligent Data Engineering and Automated Learning, IDEAL 2011 - 12th International Conference, Proceedings
Pages135-143
Number of pages9
DOIs
Publication statusPublished - 26 Sep 2011
MoE publication typeA4 Article in a conference publication
EventInternational Conference on Intelligent Data Engineering and Automated Learning - Norwich, United Kingdom
Duration: 7 Sep 20119 Sep 2011
Conference number: 12

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6936 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceInternational Conference on Intelligent Data Engineering and Automated Learning
Abbreviated titleIDEAL
CountryUnited Kingdom
CityNorwich
Period07/09/201109/09/2011

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  • Cite this

    Manyakov, N. V., Chumerin, N., Combaz, A., Robben, A., van Vliet, M., & Van Hulle, M. M. (2011). Decoding phase-based information from steady-state visual evoked potentials with use of complex-valued neural network. In Intelligent Data Engineering and Automated Learning, IDEAL 2011 - 12th International Conference, Proceedings (pp. 135-143). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6936 LNCS). https://doi.org/10.1007/978-3-642-23878-9_17