Machine learning approach for classifying the cognitive states of the human brain with functional magnetic resonance imaging (fMRI)
Cognitive state classification is a challenging task. Many studies were reported using different neuroimaging modalities for classification of the cognitive states of the human brain e.g., EEG, fMRI, MEG etc. However, functional MRI seems to be appropriate for these papers as due to its good spatial...
| Main Authors: | Ahmad, R.F., Malik, A.S., Kamel, N., Reza, F. |
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| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.20236 / |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2017
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85011955267&doi=10.1109%2fICIAS.2016.7824133&partnerID=40&md5=c3b76055e05edd9eb48c726faa1952e6 http://eprints.utp.edu.my/20236/ |
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