Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1109/ICARCV.2002.1234885 | Control, Automation, Robotics and Vision, 2002. ICARCV 2002. 7th International Conference |
Keywords | Field | DocType |
backpropagation,dynamics,electroencephalography,errors,medical signal detection,neural nets,vectors,EEG data,brain dynamics identification,coupling weight vectors,electroencephalogram data,error backpropagation learning,international 10-20 system,neural networks,rest state | Computer science,Closed eyes,Time delay neural network,Types of artificial neural networks,Artificial intelligence,Eeg data,Backpropagation,Artificial neural network,Neural network system,Electroencephalography | Conference |
Volume | ISBN | Citations |
1 | 981-04-8364-3 | 1 |
PageRank | References | Authors |
0.38 | 2 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hirofumi Nagashino | 1 | 6 | 7.07 |
| Toshio Kawano | 2 | 1 | 1.06 |
| Akutagawa Masatake | 3 | 13 | 11.43 |
| Qinyu Zhang | 4 | 1 | 2.07 |