Presentation 2010-11-18
A BCI study on the detection of insight occurrence from EEG
Naoya OOSUGI, Tomohiro SHIBATA, Kazushi IKEDA,
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Abstract(in English) The purpose of this study is to create an insight decoder from EEG. Insight is a kind of methods to solve problems and is characterized by the fact that it suddenly occurs and gives an answer although the process to the answer cannot be reported. An insight decoder based on brain activity with high time-precision such as EEG may alternatively show when and how the answer with insight appears, which will help to elucidate the mechanism of insight or creativity of human. In this study, participants were instructed to solve anagram tests as insight problem and report how to solve the tests, that is, by insight or not. Our decoder employed band powers of EEG signals as features and the bagging logistic regressor for classification, which could successfully predict the occurrence of insight.
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Keyword(in English) Insight / EEG / BCI / decorder
Paper # NC2010-59
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Committee NC
Conference Date 2010/11/11(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A BCI study on the detection of insight occurrence from EEG
Sub Title (in English)
Keyword(1) Insight
Keyword(2) EEG
Keyword(3) BCI
Keyword(4) decorder
1st Author's Name Naoya OOSUGI
1st Author's Affiliation Nara Institute of Science and Technology()
2nd Author's Name Tomohiro SHIBATA
2nd Author's Affiliation Nara Institute of Science and Technology
3rd Author's Name Kazushi IKEDA
3rd Author's Affiliation Nara Institute of Science and Technology
Date 2010-11-18
Paper # NC2010-59
Volume (vol) vol.110
Number (no) 295
Page pp.pp.-
#Pages 6
Date of Issue