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

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 (Print)9781479974948
DOIs
Publication statusPublished - 2015 Mar 30
Event2015 3rd International Winter Conference on Brain-Computer Interface, BCI 2015 - Gangwon-Do, Korea, Republic of
Duration: 2015 Jan 122015 Jan 14

Other

Other2015 3rd International Winter Conference on Brain-Computer Interface, BCI 2015
CountryKorea, Republic of
CityGangwon-Do
Period15/1/1215/1/14

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Cognitive Neuroscience
  • Sensory Systems

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    Schlattner, I., Leydecker, A., Biesmann, F., Chen, Y., & Fazli, S. (2015). EEG-based neural decoding of Intelligence Questions. In 3rd International Winter Conference on Brain-Computer Interface, BCI 2015 [7073025] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IWW-BCI.2015.7073025