Decoding of visual activity patterns from fMRI responses using multivariate pattern analyses and convolutional neural network
Decoding of human brain activity has always been a primary goal in neuroscience especially with functional magnetic resonance imaging (fMRI) data. In recent years, Convolutional neural network (CNN) has become a popular method for the extraction of features due to its higher accuracy, however it nee...
| Main Authors: | Zafar, R., Kamel, N., Naufal, M., Malik, A.S., Dass, S.C., Ahmad, R.F., Abdullah, J.M., Reza, F. |
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| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.19834 / |
| Published: |
IOS Press
2017
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85030116670&doi=10.3233%2fJIN-170016&partnerID=40&md5=476b375377b777623635f500c804f856 http://eprints.utp.edu.my/19834/ |
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