Convolutional and Recurrent Neural Networks for Physical Action Forecasting by Brain-Computer Interface.
Kostiantyn KostiukevychSergii G. StirenkoNikita GordienkoOleksandr RokovyiOleg AlieninYuri G. GordienkoPublished in: IDAACS (2021)
Keyphrases
- recurrent neural networks
- brain computer interface
- chaotic time series
- motor imagery
- neural network
- feed forward
- echo state networks
- signal processing
- short term
- event related
- healthy subjects
- reservoir computing
- eeg signals
- recurrent networks
- artificial neural networks
- computer screen
- nonlinear dynamic systems
- hidden layer
- cascade correlation
- brain signals
- evoked potentials
- neural model
- eeg data
- brain activity
- image processing
- event related potentials
- visuo motor
- spinal cord injury
- expert systems
- artificial intelligence
- learning algorithm
- genetic algorithm