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EEG-based neural decoding of Intelligence Questions

  • Isabella Schlattner
  • , Achim Leydecker
  • , Felix Biesmann
  • , Yiyu Chen
  • , Siamac Fazli
  • Korea University
  • University of Freiburg
  • Amazon
  • Department of Brain and Cognitive Engineering

Результат исследований

Аннотация

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.

Язык оригиналаEnglish
Название основной публикации3rd International Winter Conference on Brain-Computer Interface, BCI 2015
ИздательInstitute of Electrical and Electronics Engineers Inc.
ISBN (электронное издание)9781479974948
DOI
СостояниеPublished - мар. 30 2015
Опубликовано для внешнего пользованияДа
Событие2015 3rd International Winter Conference on Brain-Computer Interface, BCI 2015 - Gangwon-Do
Продолжительность: янв. 12 2015янв. 14 2015

Серия публикаций

Название3rd International Winter Conference on Brain-Computer Interface, BCI 2015

Conference

Conference2015 3rd International Winter Conference on Brain-Computer Interface, BCI 2015
Страна/TерриторияKorea, Republic of
ГородGangwon-Do
Период1/12/151/14/15

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Cognitive Neuroscience
  • Sensory Systems

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