EEG-based neural decoding of Intelligence Questions

Author

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

Author_Institution

Dept. of Brain & Cognitive Eng., Korea Univ., Seoul, South Korea

fYear

2015

fDate

12-14 Jan. 2015

Firstpage

1

Lastpage

4

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.

Keywords

cognition; electroencephalography; medical signal processing; neurophysiology; EEG-based neural decoding; ERP-based EEG data; average single-trial accuracy; cognitive tasks; intelligence questions; learning paradigms; matrix reasoning task; mental process decoding; multivariate analysis techniques; parieto-occipital ERP components; user choices; Accuracy; Cognition; Correlation; Decoding; Electrodes; Electroencephalography; Electrooculography;

fLanguage

English

Publisher

ieee

Conference_Titel

Brain-Computer Interface (BCI), 2015 3rd International Winter Conference on

Conference_Location

Sabuk

Print_ISBN

978-1-4799-7494-8

Type

conf

DOI

10.1109/IWW-BCI.2015.7073025

Filename

7073025