Resolving Ambiguities of MVPA Using Explicit Models of Representation

Thomas Naselaris; Kendrick N Kay

doi:10.1016/j.tics.2015.07.005

Resolving Ambiguities of MVPA Using Explicit Models of Representation

Trends Cogn Sci. 2015 Oct;19(10):551-554. doi: 10.1016/j.tics.2015.07.005.

Authors

Thomas Naselaris¹, Kendrick N Kay²

Affiliations

¹ Medical University of South Carolina, Charleston, SC, USA. Electronic address: tnaselar@musc.edu.
² Washington University in St Louis, St Louis, MO, USA.

Abstract

We advocate a shift in emphasis within cognitive neuroscience from multivariate pattern analysis (MVPA) to the design and testing of explicit models of neural representation. With such models, it becomes possible to identify the specific representations encoded in patterns of brain activity and to map them across the brain.

Keywords: computational modeling; encoding model; fMRI; multivariate pattern analysis; representation.

Publication types

Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't

MeSH terms

Brain / physiology*
Brain Mapping
Cognition / physiology
Humans
Magnetic Resonance Imaging
Models, Neurological*
Multivariate Analysis*

Grants and funding

R01 EY023384/EY/NEI NIH HHS/United States