NDLI: Detecting Neural Decision Patterns Using SVM-Based EEG Classification

Content Provider	IEEE Xplore Digital Library
Author	Paul, P.P. Leung, H. Peterson, D.A. Sejnowski, T.J. Poizner, H.
Copyright Year	2010
Abstract	Brain dynamics were analyzed during decision making using human electroencephalographic signals. We sought to identify the pattern of brain activity for actions with and without decision-making, while subjects engaged in an instrumental reward based learning task. Event related potentials (ERPs) were analyzed for reference trials (no choice required) and decision trials. To detect brain activity during decision making, classification was applied to classify reference and decision trials. Support vector machine (SVM) with a nonlinear kernel function was used as a classifier. Classification performance was analyzed across subjects and channels to identify brain regions underlying decision-making. For most subjects, we found that reference and decision trials could be classified with greater than 85% accuracy. ERPs from frontocentral areas of the scalp provided, in general, best classification rates. Thus ERPs and SVM classifiers can be used to non-invasively detect decision making in humans.
Starting Page	1
Ending Page	4
File Size	447732
Page Count	4
File Format	PDF
ISBN	9781424447121
ISSN	21517622
DOI	10.1109/ICBBE.2010.5515823
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-06-18
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Brain Instruments Decision making Support vector machine classification Humans Electroencephalography Enterprise resource planning Signal analysis Kernel
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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