A hierarchical Bayesian method to resolve an inverse problem of MEG contaminated with eye movement artifacts.
Yusuke FujiwaraOkito YamashitaDai KawawakiKenji DoyaMitsuo KawatoKeisuke ToyamaMasa-aki SatoPublished in: NeuroImage (2009)
Keyphrases
- eye movements
- bayesian methods
- eye tracking
- visual attention
- visual search
- eye movement analysis
- eye gaze
- model selection
- gaussian processes
- high quality
- machine learning
- eye movement patterns
- eye tracking data
- machine learning methods
- bayesian framework
- eye tracker
- learning algorithm
- hyperparameters
- probabilistic model
- pupil size
- data mining
- data analysis
- data sets