EEG-based neural decoding of Intelligence Questions

Isabella Schlattner, Achim Leydecker, Felix Biesmann, Yiyu Chen, Siamac Fazli

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Decoding mental processes in single trials is one of the prerequisites for tailoring learning paradigms, which aim at improving performance in cognitive tasks. In this study user choices are predicted in a matrix reasoning task. By employing multivariate analysis techniques we are able to show that it is possible to decode the subjects' answers prior to their response by means of ERP-based EEG data. Our results indicate that parieto-occipital ERP components are most discriminative and lead to an average single-trial accuracy of 67.7 ± 6.3% across 5 subjects.

Original languageEnglish
Title of host publication3rd International Winter Conference on Brain-Computer Interface, BCI 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479974948
DOIs
Publication statusPublished - Mar 30 2015
Externally publishedYes
Event2015 3rd International Winter Conference on Brain-Computer Interface, BCI 2015 - Gangwon-Do, Korea, Republic of
Duration: Jan 12 2015Jan 14 2015

Publication series

Name3rd International Winter Conference on Brain-Computer Interface, BCI 2015

Conference

Conference2015 3rd International Winter Conference on Brain-Computer Interface, BCI 2015
CountryKorea, Republic of
CityGangwon-Do
Period1/12/151/14/15

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Cognitive Neuroscience
  • Sensory Systems

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