Exploring stability-based voxel selection methods in MVPA using cognitive neuroimaging data: a comprehensive study
Feature selection plays a key role in multi-voxel pattern analysis because functional magnetic resonance imaging data are typically noisy, sparse, and high-dimensional. Although the conventional evaluation criterion is the classification accuracy, selecting a stable feature set that is not sensitive...
| Main Authors: | , |
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| Format: | Online |
| Language: | English |
| Published: |
Springer Berlin Heidelberg
2016
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4999569/ |