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• W2482429426 abstract "This chapter focuses on multi-voxel pattern analysis (MVPA), which involves applying pattern-classification algorithms to multi-voxel patterns of brain activity, and training these classifiers to detect the spatially distributed neural correlates of specific cognitive states. It begins with a general overview of the MVPA approach. It then shows how MVPA can be used to address theoretically meaningful questions about memory. Finally, it discusses these findings and points out some future directions of research." @default.
• W2482429426 created "2016-08-23" @default.
• W2482429426 creator A5060013427 @default.
• W2482429426 creator A5070059815 @default.
• W2482429426 creator A5085199289 @default.
• W2482429426 date "2009-02-26" @default.
• W2482429426 modified "2023-10-11" @default.
• W2482429426 title "Multivariate methods for tracking cognitive states" @default.
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• W2482429426 doi "https://doi.org/10.1093/acprof:oso/9780199217298.003.0017" @default.
• W2482429426 hasPublicationYear "2009" @default.
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