Classification of EEG signals based on time-frequency analysis and spiking neural network.
Qing-Hua WangLi-Na WangSong XuPublished in: ICSPCC (2020)
Keyphrases
- eeg signals
- signal processing
- motor imagery
- pattern recognition
- brain computer interface
- pattern classification
- brain activity
- biologically inspired
- decision rules
- computer vision
- linear discriminant classifier
- kernel density estimators
- spiking neural networks
- non stationary
- natural images
- support vector
- decision trees
- support vector machine svm
- support vector machine
- feature vectors
- high dimensional
- extracted features
- feature space
- similarity measure
- feature extraction
- spiking neurons
- electrical activity
- image processing
- genetic algorithm