Decoding visual brain states from fMRI using an ensemble of classifiers.
Carlos CabralMargarida SilveiraPatrícia FigueiredoPublished in: Pattern Recognit. (2012)
Keyphrases
- statistical parametric mapping
- functional magnetic resonance imaging
- activation detection
- human brain
- cognitive states
- ensemble learning
- cortical areas
- ensemble classifier
- multiple classifiers
- brain activity
- training data
- decision trees
- ensemble pruning
- event related
- activation patterns
- training set
- classifier ensemble
- combining classifiers
- majority voting
- final classification
- feature selection
- brain images
- multiple classifier systems
- visual stimuli
- individual classifiers
- decision tree classifiers
- classifier combination
- visual features
- support vector
- brain regions
- functional connectivity
- random forests
- cerebral cortex
- data analysis
- accurate classifiers
- weighted voting
- brain imaging
- ensemble methods
- brain mapping
- base classifiers
- random forest
- randomized trees
- learning algorithm
- resting state fmri
- trained classifiers
- brain connectivity
- medical images
- svm classifier
- pattern classification
- human subjects
- concept drift
- receptive fields
- correlation analysis