Presentation 2013-11-22
Interplay of pre- and post-stimulus EEG phase enhances human vocal communication
Takayuki ONOJIMA, Keiichi KITAJO, Hiroaki MIZUHARA,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) Neural synchrony is a crucial mechanism of emerging a dynamic cortical network for various cognitive processing. The neural synchrony was often observed in the scalp EEG measure for a speech perception. The performance of auditory perception also depends on a phase of scalp EEG appearing prior to the stimulus input. Together with these previous studies, we hypothesized that the interplay of the EEG phase between pre- and post-stimulus presentation determines an optimal condition to emerge a cortical network for the speech perception. To verify our hypothesis, we measured the scalp EEG during a speech perception task. The results showed that the EEG phase locking during the speech perception was manipulated by the pre-stimulus EEG phase. The appropriate cortical network for the speech processing was emerged by the optimal EEG phase before the stimulus input.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) EEG / Speech perception / Communication / Phase synchrony / Neural dynamics
Paper # NC2013-50
Date of Issue

Conference Information
Committee NC
Conference Date 2013/11/15(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Interplay of pre- and post-stimulus EEG phase enhances human vocal communication
Sub Title (in English)
Keyword(1) EEG
Keyword(2) Speech perception
Keyword(3) Communication
Keyword(4) Phase synchrony
Keyword(5) Neural dynamics
1st Author's Name Takayuki ONOJIMA
1st Author's Affiliation Graduate School of Informatics, Kyoto University()
2nd Author's Name Keiichi KITAJO
2nd Author's Affiliation RIKEN Brain Science Institute
3rd Author's Name Hiroaki MIZUHARA
3rd Author's Affiliation Graduate School of Informatics, Kyoto University
Date 2013-11-22
Paper # NC2013-50
Volume (vol) vol.113
Number (no) 315
Page pp.pp.-
#Pages 6
Date of Issue