Title: Decoding Phase-based Information from SSVEP Recordings with Use of Complex-Valued Neural Network
Authors: Manyakov, Nikolay V.
Chumerin, Nikolay
Combaz, Adrien
Robben, Arne
van Vliet, Marijn
Van Hulle, Marc
Issue Date: 7-Sep-2011
Host Document: Lecture Notes in Computer Science (LNCS) issue:6936 pages:135-143
Conference: The 12th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2011) edition:12 location:Norwich, UK date:7-9 September 2011
Abstract: In this paper, we report on decoding of phase-based information from steady-state visual evoked potential (SSVEP) recordings with use of complex-valued neural network. The networks of this kind has inputs and output well fitted for the considered task. The dependency of the decoding accuracy from the number of targets and the decoding window size is discussed. Comparing the existing phase-based SSVEP decoding methods with the proposed approach, we show that the latter performs better for bigger amount of target classes and sufficient length of time window used in the decoding procedure. The necessity of the proper frequency selection for each subject is discussed.
ISBN: 978-3-642-23877-2
ISSN: 0302-9743
Publication status: published
KU Leuven publication type: IC
Appears in Collections:Research Group Neurophysiology
Laboratory for Neuro- and Psychofysiology

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