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 language | English |
|---|---|
| Title of host publication | 3rd International Winter Conference on Brain-Computer Interface, BCI 2015 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Print) | 9781479974948 |
| DOIs | |
| Publication status | Published - 2015 Mar 30 |
| Event | 2015 3rd International Winter Conference on Brain-Computer Interface, BCI 2015 - Gangwon-Do, Korea, Republic of Duration: 2015 Jan 12 → 2015 Jan 14 |
Other
| Other | 2015 3rd International Winter Conference on Brain-Computer Interface, BCI 2015 |
|---|---|
| Country | Korea, Republic of |
| City | Gangwon-Do |
| Period | 15/1/12 → 15/1/14 |
Fingerprint
ASJC Scopus subject areas
- Human-Computer Interaction
- Cognitive Neuroscience
- Sensory Systems
Cite this
EEG-based neural decoding of Intelligence Questions. / Schlattner, Isabella; Leydecker, Achim; Biesmann, Felix; Chen, Yiyu; Fazli, Siamac.
3rd International Winter Conference on Brain-Computer Interface, BCI 2015. Institute of Electrical and Electronics Engineers Inc., 2015. 7073025.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - EEG-based neural decoding of Intelligence Questions
AU - Schlattner, Isabella
AU - Leydecker, Achim
AU - Biesmann, Felix
AU - Chen, Yiyu
AU - Fazli, Siamac
PY - 2015/3/30
Y1 - 2015/3/30
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84927944187&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84927944187&partnerID=8YFLogxK
U2 - 10.1109/IWW-BCI.2015.7073025
DO - 10.1109/IWW-BCI.2015.7073025
M3 - Conference contribution
AN - SCOPUS:84927944187
SN - 9781479974948
BT - 3rd International Winter Conference on Brain-Computer Interface, BCI 2015
PB - Institute of Electrical and Electronics Engineers Inc.
ER -