Using nonlinear models in fMRI data analysis: Model selection and activation detection.
Thomas DeneuxOlivier D. FaugerasPublished in: NeuroImage (2006)
Keyphrases
- model selection
- activation detection
- nonlinear models
- data analysis
- functional magnetic resonance imaging
- linear model
- machine learning
- cross validation
- motion correction
- regression model
- parameter estimation
- brain activity
- hyperparameters
- statistical models
- sample size
- logistic regression
- feature selection
- data mining
- brain imaging
- variable selection
- human brain
- mri data
- gaussian process
- event related
- cluster analysis
- high dimensional data
- information processing
- feature extraction