Single-trials ERPs predict correct answers to intelligence test questions

Achim Leydecker; Felix Biebmann; Siamac Fazli

doi:10.1109/PRNI.2014.6858528

Single-trials ERPs predict correct answers to intelligence test questions

Achim Leydecker, Felix Biebmann, Siamac Fazli

Department of Brain and Cognitive Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 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	https://doi.org/10.1109/PRNI.2014.6858528
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

ASJC Scopus subject areas

Computer Vision and Pattern Recognition
Biomedical Engineering

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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, 4th International Workshop on Pattern Recognition in Neuroimaging, PRNI 2014, Tubingen, Germany, 14/6/4. https://doi.org/10.1109/PRNI.2014.6858528

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title = "Single-trials ERPs predict correct answers to intelligence test questions",

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.",

author = "Achim Leydecker and Felix Biebmann and Siamac Fazli",

year = "2014",

month = jan,

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doi = "10.1109/PRNI.2014.6858528",

language = "English",

isbn = "9781479941506",

booktitle = "Proceedings - 2014 International Workshop on Pattern Recognition in Neuroimaging, PRNI 2014",

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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.

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Single-trials ERPs predict correct answers to intelligence test questions

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