Massively parallel classification of single-trial EEG signals using a min-max Modular neural network.
Bao-Liang LuJonghan ShinMichinori IchikawaPublished in: IEEE Trans. Biomed. Eng. (2004)
Keyphrases
- eeg signals
- min max
- massively parallel
- eeg data
- brain computer interface
- single trial
- modular neural network
- healthy subjects
- motor imagery
- signal processing
- parallel computing
- event related potentials
- brain activity
- decision trees
- independent component analysis
- support vector machine svm
- classification accuracy
- active learning
- pattern recognition
- spatial filters
- feature extraction
- neural network
- extracted features
- support vector machine