What is it about?
Intelligence and learning styles are among most widely studied traits in cognitive psychology. We have shown that both traits of cognition can be assessed directly from the resting brain. The extracted power ratio features have been successfully implemented to assess cognitive behavior through a computational model that was developed using artificial neural network.
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Why is it important?
We have successfully 1) standardized EEG recording protocol, signal processing and feature extraction techniques, 2) demonstrated the relationship between intelligence and learning style through EEG power ratio pattern, and 3) developed an intelligent computational model for assessing both traits of cognition with excellent performance.
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This page is a summary of: EEG-based intelligent system for cognitive behavior classification, Journal of Intelligent & Fuzzy Systems, July 2020, IOS Press,
DOI: 10.3233/jifs-190955.
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