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 language | English |
|---|---|
| Title of host publication | Proceedings - 2014 International Workshop on Pattern Recognition in Neuroimaging, PRNI 2014 |
| Publisher | IEEE Computer Society |
| ISBN (Print) | 9781479941506 |
| DOIs | |
| Publication status | Published - 2014 Jan 1 |
| Event | 4th International Workshop on Pattern Recognition in Neuroimaging, PRNI 2014 - Tubingen, Germany Duration: 2014 Jun 4 → 2014 Jun 6 |
Other
| Other | 4th International Workshop on Pattern Recognition in Neuroimaging, PRNI 2014 |
|---|---|
| Country | Germany |
| City | Tubingen |
| Period | 14/6/4 → 14/6/6 |
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ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
- Biomedical Engineering
Cite this
Single-trials ERPs predict correct answers to intelligence test questions. / Leydecker, Achim; Biebmann, Felix; Fazli, Siamac.
Proceedings - 2014 International Workshop on Pattern Recognition in Neuroimaging, PRNI 2014. IEEE Computer Society, 2014. 6858528.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Single-trials ERPs predict correct answers to intelligence test questions
AU - Leydecker, Achim
AU - Biebmann, Felix
AU - Fazli, Siamac
PY - 2014/1/1
Y1 - 2014/1/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84905750341&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84905750341&partnerID=8YFLogxK
U2 - 10.1109/PRNI.2014.6858528
DO - 10.1109/PRNI.2014.6858528
M3 - Conference contribution
AN - SCOPUS:84905750341
SN - 9781479941506
BT - Proceedings - 2014 International Workshop on Pattern Recognition in Neuroimaging, PRNI 2014
PB - IEEE Computer Society
ER -