Stimulus-specific random effects inflate false-positive classification accuracy in multivariate-voxel-pattern-analysis: A solution with generalized mixed-effects modelling.
Shogo KajimuraTakahiro HoshinoKou MurayamaPublished in: NeuroImage (2023)
Keyphrases
- mixed effects
- pattern analysis
- random effects
- false positives
- classification accuracy
- false negative
- hidden markov models
- linear model
- pattern recognition
- true positive
- false positive rate
- detection rate
- hierarchical structure
- low false positive rate
- image analysis
- computational intelligence
- pattern classification
- regression model
- training set
- feature space
- data analysis
- training data
- feature selection
- detection algorithm
- machine learning
- artificial intelligence
- genetic algorithm