Resolving Ambiguities of MVPA Using Explicit Models of Representation

Thomas Naselaris, Kendrick N. Kay

Research output: Contribution to journalShort surveypeer-review

50 Scopus citations

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.

Original languageEnglish (US)
Article number1476
Pages (from-to)551-554
Number of pages4
JournalTrends in Cognitive Sciences
Volume19
Issue number10
DOIs
StatePublished - Oct 1 2015

Bibliographical note

Funding Information:
This work was supported by the McDonnell Center for Systems Neuroscience and Arts & Sciences at Washington University (K.N.K.) and by grant NEI R01 EY023384 (T.N.).

Publisher Copyright:
© 2015.

Keywords

  • Computational modeling
  • Encoding model
  • FMRI
  • Multivariate pattern analysis
  • Representation

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