Chapter

Multivariate methods for tracking cognitive states

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

in Neuroimaging of Human Memory

Published in print February 2009 | ISBN: 9780199217298
Published online March 2012 | e-ISBN: 9780191696077 | DOI: http://dx.doi.org/10.1093/acprof:oso/9780199217298.003.0017
Multivariate methods for tracking cognitive states

Show Summary Details

Preview

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.

Keywords: multi-voxel pattern analysis; MVPA; pattern-classification algorithms; brain activity; memory

Chapter.  14784 words.  Illustrated.

Subjects: Cognitive Psychology

Full text: subscription required

How to subscribe Recommend to my Librarian

Buy this work at Oxford University Press »

Users without a subscription are not able to see the full content. Please, subscribe or login to access all content.