Single-trials ERPs predict correct answers to intelligence test questions

Achim Leydecker, Felix Biebmann, Siamac Fazli

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

2 Citations (Scopus)

Abstract

Neurotechnology offers the potential to improve performance in cognitive tasks by tailoring the learning paradigm to the neurophysiological correlates of mental processes. Up to date, there are few studies that investigate the single trial performance of neural decoding in cognitive tasks. In this study we examine EEG data while a given subject is solving questions which are commonly used in intelligence quotient tests. Subjects are instructed to solve a number of visual template matching tasks. Our findings suggest that it is possible to decode the true answer from the subjects' ERP responses at the time of its presentation. These results indicate that neurophysiological markers could be useful for neurotechnology assisted learning paradigms.

Original languageEnglish
Title of host publicationProceedings - 2014 International Workshop on Pattern Recognition in Neuroimaging, PRNI 2014
PublisherIEEE Computer Society
ISBN (Print)9781479941506
DOIs
Publication statusPublished - 2014 Jan 1
Event4th International Workshop on Pattern Recognition in Neuroimaging, PRNI 2014 - Tubingen, Germany
Duration: 2014 Jun 42014 Jun 6

Other

Other4th International Workshop on Pattern Recognition in Neuroimaging, PRNI 2014
CountryGermany
CityTubingen
Period14/6/414/6/6

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Biomedical Engineering

Fingerprint Dive into the research topics of 'Single-trials ERPs predict correct answers to intelligence test questions'. Together they form a unique fingerprint.

  • Cite this

    Leydecker, A., Biebmann, F., & Fazli, S. (2014). Single-trials ERPs predict correct answers to intelligence test questions. In Proceedings - 2014 International Workshop on Pattern Recognition in Neuroimaging, PRNI 2014 [6858528] IEEE Computer Society. https://doi.org/10.1109/PRNI.2014.6858528