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

doi:10.1007/978-3-642-23878-9_17

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

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Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference article in proceedings › Scientific › vertaisarvioitu

8 Sitaatiot (Scopus)

Abstrakti

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.

Alkuperäiskieli	Englanti
Otsikko	Intelligent Data Engineering and Automated Learning, IDEAL 2011 - 12th International Conference, Proceedings
Sivut	135-143
Sivumäärä	9
DOI - pysyväislinkit	https://doi.org/10.1007/978-3-642-23878-9_17
Tila	Julkaistu - 26 syysk. 2011
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisussa
Tapahtuma	International Conference on Intelligent Data Engineering and Automated Learning - Norwich, Iso-Britannia Kesto: 7 syysk. 2011 → 9 syysk. 2011 Konferenssinumero: 12

Julkaisusarja

Nimi	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Vuosikerta	6936 LNCS
ISSN (painettu)	0302-9743
ISSN (elektroninen)	1611-3349

Conference

Conference	International Conference on Intelligent Data Engineering and Automated Learning
Lyhennettä	IDEAL
Maa/Alue	Iso-Britannia
Kaupunki	Norwich
Ajanjakso	07/09/2011 → 09/09/2011

Pääsy asiakirjaan

10.1007/978-3-642-23878-9_17

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Link to publication in Scopus

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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. teoksessa Intelligent Data Engineering and Automated Learning, IDEAL 2011 - 12th International Conference, Proceedings (Sivut 135-143). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vuosikerta 6936 LNCS). https://doi.org/10.1007/978-3-642-23878-9_17

Manyakov, Nikolay V. ; Chumerin, Nikolay ; Combaz, Adrien et al. / Decoding phase-based information from steady-state visual evoked potentials with use of complex-valued neural network. Intelligent Data Engineering and Automated Learning, IDEAL 2011 - 12th International Conference, Proceedings. 2011. Sivut 135-143 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{d4dfbcdb5c5541f0897c9252d208a2df,

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

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.",

author = "Manyakov, {Nikolay V.} and Nikolay Chumerin and Adrien Combaz and Arne Robben and {van Vliet}, Marijn and {Van Hulle}, {Marc M.}",

year = "2011",

month = sep,

day = "26",

doi = "10.1007/978-3-642-23878-9_17",

language = "English",

isbn = "9783642238772",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "135--143",

booktitle = "Intelligent Data Engineering and Automated Learning, IDEAL 2011 - 12th International Conference, Proceedings",

note = "International Conference on Intelligent Data Engineering and Automated Learning, IDEAL ; Conference date: 07-09-2011 Through 09-09-2011",

}

Manyakov, NV, Chumerin, N, Combaz, A, Robben, A, van Vliet, M & Van Hulle, MM 2011, Decoding phase-based information from steady-state visual evoked potentials with use of complex-valued neural network. julkaisussa Intelligent Data Engineering and Automated Learning, IDEAL 2011 - 12th International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vuosikerta 6936 LNCS, Sivut 135-143, International Conference on Intelligent Data Engineering and Automated Learning, Norwich, Iso-Britannia, 07/09/2011. https://doi.org/10.1007/978-3-642-23878-9_17

Decoding phase-based information from steady-state visual evoked potentials with use of complex-valued neural network. / Manyakov, Nikolay V.; Chumerin, Nikolay; Combaz, Adrien et al.
Intelligent Data Engineering and Automated Learning, IDEAL 2011 - 12th International Conference, Proceedings. 2011. s. 135-143 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vuosikerta 6936 LNCS).

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference article in proceedings › Scientific › vertaisarvioitu

TY - GEN

T1 - Decoding phase-based information from steady-state visual evoked potentials with use of complex-valued neural network

AU - Manyakov, Nikolay V.

AU - Chumerin, Nikolay

AU - Combaz, Adrien

AU - Robben, Arne

AU - van Vliet, Marijn

AU - Van Hulle, Marc M.

N1 - Conference code: 12

PY - 2011/9/26

Y1 - 2011/9/26

N2 - 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.

AB - 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.

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SN - 9783642238772

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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EP - 143

BT - Intelligent Data Engineering and Automated Learning, IDEAL 2011 - 12th International Conference, Proceedings

T2 - International Conference on Intelligent Data Engineering and Automated Learning

Y2 - 7 September 2011 through 9 September 2011

ER -

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

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

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Julkaisusarja

Conference

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