title: Resolving Ambiguities of MVPA Using Explicit Models of Representation.
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.
authors.affiliation: Medical University of South Carolina, Charleston, SC, USA. Electronic address: tnaselar@musc.edu.
authors.forename: Thomas
authors.initials: T
authors.lastname: Naselaris
authors.affiliation: Washington University in St Louis, St Louis, MO, USA.
authors.forename: Kendrick N
authors.initials: KN
authors.lastname: Kay
mesh_terms: D001921:Brain / Q000502:physiology*; D001931:Brain Mapping; D003071:Cognition / Q000502:physiology; D006801:Humans; D008279:Magnetic Resonance Imaging; D008959:Models, Neurological; D015999:Multivariate Analysis
keywords: computational modeling; encoding model; fMRI; multivariate pattern analysis; representation