A time domain classification of steady-state visual evoked potentials using deep recurrent-convolutional neural networks.
Mohammed Hassan AttiaImali HettiarachchiMohammed HossnySaeid NahavandiPublished in: ISBI (2018)
Keyphrases
- limit cycle
- steady state
- evoked potentials
- markov chain
- convolutional neural networks
- image classification
- feed forward
- operating conditions
- pattern recognition
- explicit expressions
- feature extraction
- product form
- state dependent
- queueing networks
- queue length
- steady states
- neural network
- frequency ranges
- arrival rate
- brain computer interface
- visual features
- special case
- feature space
- image processing
- machine learning
- heavy traffic
- eeg data
- information processing
- queue size