Robust and highly adaptable brain-computer interface with convolutional net architecture based on a generative model of neuromagnetic measurements.
Ivan ZubarevRasmus ZetterHanna-Leena HalmeLauri ParkkonenPublished in: CoRR (2018)
Keyphrases
- computer vision
- generative model
- brain computer interface
- probabilistic model
- sparse coding
- signal processing
- motor imagery
- prior knowledge
- bayesian framework
- em algorithm
- event related
- topic models
- deep belief networks
- semi supervised
- discriminative models
- eeg signals
- visuo motor
- brain signals
- computer screen
- brain activity
- image processing
- latent dirichlet allocation
- data sets
- evoked potentials
- hierarchical bayesian model
- multiscale
- learning environment