Spiking Neural Networks applied to the classification of motor tasks in EEG signals.
Carlos Daniel Virgilio GonzalezJuan Humberto Sossa AzuelaJavier Mauricio AntelisLuis Eduardo FalcónPublished in: Neural Networks (2020)
Keyphrases
- eeg signals
- brain computer interface
- signal processing
- brain signals
- spiking neural networks
- extracted features
- motor imagery
- decision trees
- eeg data
- image classification
- support vector machine
- classification accuracy
- pattern recognition
- feature extraction
- feature selection
- linear discriminant classifier
- support vector machine svm
- pattern classification
- brain activity
- kernel density estimators
- feed forward
- biologically plausible
- support vector
- spiking neurons