Application of neural networks to brain dynamics identification by EEG
説明
We have constructed a multilayered neural network system that identifies brain dynamics from electroencephalogram (EEG) data by error backpropagation (BP) learning. EEG data in the rest state with closed eyes and open eyes are measured with electrodes that are placed by the international 10-20 system. The brain dynamics are embedded in the neural networks. The developed system discriminates the dynamics of the brain dynamics of the brain activities associated with open eyes from those with closed eyes.
収録刊行物
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- 7th International Conference on Control, Automation, Robotics and Vision, 2002. ICARCV 2002.
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7th International Conference on Control, Automation, Robotics and Vision, 2002. ICARCV 2002. 1 554-559, 2004-03-01
Nanyang Technological Univ