Multivariate methods for tracking cognitive states

Kenneth A. Norman; Joel R. Quamme; Ehren L. Newman

doi:10.1093/acprof:oso/9780199217298.003.0017

Multivariate methods for tracking cognitive states

Kenneth A. Norman, Joel R. Quamme, Ehren L. Newman

Research output: Chapter in Book/Report/Conference proceeding › Chapter

1 Scopus citations

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.

Original language	English (US)
Title of host publication	Neuroimaging of Human Memory
Subtitle of host publication	Linking Cognitive Processes to Neural Systems
Publisher	Oxford University Press
ISBN (Electronic)	9780191696077
ISBN (Print)	9780199217298
DOIs	https://doi.org/10.1093/acprof:oso/9780199217298.003.0017
State	Published - Mar 22 2012

All Science Journal Classification (ASJC) codes

General Psychology

Keywords

Brain activity
MVPA
Memory
Multi-voxel pattern analysis
Pattern-classification algorithms

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10.1093/acprof:oso/9780199217298.003.0017

Cite this

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ER -

Multivariate methods for tracking cognitive states

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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