Brain activity detection by estimating the signal-to-noise ratio of fMRI time series using dynamic linear models.
Alicia Quirós CarreteroSimon P. WilsonRaquel Montes DiezAna Beatriz SolanaJuan Antonio Hernández TamamesPublished in: Digit. Signal Process. (2015)
Keyphrases
- brain activity
- signal to noise ratio
- linear models
- functional magnetic resonance imaging
- noise reduction
- functional mri
- event related
- activation detection
- linear model
- variable selection
- human subjects
- linear regression
- cognitive states
- edge detection
- brain computer interface
- human brain
- gaussian processes
- eeg signals
- model selection
- object detection
- noise level
- machine learning
- cross validation
- image registration