Spatial and Time Domain Feature of ERP Speller System Extracted via Convolutional Neural Network
Joint Authors
Yoon, Jaehong
Lee, Jungnyun
Whang, Mincheol
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-05-15
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Feature of event-related potential (ERP) has not been completely understood and illiteracy problem remains unsolved.
To this end, P300 peak has been used as the feature of ERP in most brain–computer interface applications, but subjects who do not show such peak are common.
Recent development of convolutional neural network provides a way to analyze spatial and temporal features of ERP.
Here, we train the convolutional neural network with 2 convolutional layers whose feature maps represented spatial and temporal features of event-related potential.
We have found that nonilliterate subjects’ ERP show high correlation between occipital lobe and parietal lobe, whereas illiterate subjects only show correlation between neural activities from frontal lobe and central lobe.
The nonilliterates showed peaks in P300, P500, and P700, whereas illiterates mostly showed peaks in around P700.
P700 was strong in both subjects.
We found that P700 peak may be the key feature of ERP as it appears in both illiterate and nonilliterate subjects.
American Psychological Association (APA)
Yoon, Jaehong& Lee, Jungnyun& Whang, Mincheol. 2018. Spatial and Time Domain Feature of ERP Speller System Extracted via Convolutional Neural Network. Computational Intelligence and Neuroscience،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1130787
Modern Language Association (MLA)
Yoon, Jaehong…[et al.]. Spatial and Time Domain Feature of ERP Speller System Extracted via Convolutional Neural Network. Computational Intelligence and Neuroscience No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1130787
American Medical Association (AMA)
Yoon, Jaehong& Lee, Jungnyun& Whang, Mincheol. Spatial and Time Domain Feature of ERP Speller System Extracted via Convolutional Neural Network. Computational Intelligence and Neuroscience. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1130787
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1130787