Bit-Wise Reconstruction of Non-binary Visual Stimulation Patterns from EEG Using Deep Learning: A Promising Alternative for User-Friendly High-Speed c-VEP-Based BCIs.
Eduardo Santamaría-VázquezVíctor Martínez-CagigalRoberto HorneroPublished in: IWANN (2) (2023)
Keyphrases
- evoked potentials
- user friendly
- deep learning
- non binary
- brain computer interface
- bit wise
- constraint satisfaction problems
- frequent pattern mining
- user interface
- unsupervised learning
- visual stimuli
- frequent patterns
- pattern mining
- machine learning
- data mining techniques
- arc consistency
- weakly supervised
- interesting patterns
- mental models
- healthy subjects
- active learning
- signal processing
- data mining
- supervised learning
- hidden variables
- high dimensional data
- maximum likelihood