Testing key predictions of the associative account of mirror neurons in humans using multivariate pattern analysis.

N.N. Oosterhof; A.J. Wiggett; E.S. Cross

doi:10.1017/S0140525X13002434

Testing key predictions of the associative account of mirror neurons in humans using multivariate pattern analysis.

N.N. Oosterhof, A.J. Wiggett, E.S. Cross

Research output: Contribution to journal › Article › peer-review

Abstract

Cook et al. overstate the evidence supporting their associative account of mirror neurons in humans: most studies do not address a key property, action-specificity that generalizes across the visual and motor domains. Multivariate pattern analysis (MVPA) of neuroimaging data can address this concern, and we illustrate how MVPA can be used to test key predictions of their account

Original language	English
Pages (from-to)	213-215
Journal	Behavioral and Brain Sciences
Volume	37
Issue number	2
DOIs	https://doi.org/10.1017/S0140525X13002434
Publication status	Published - 29 Apr 2014

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10.1017/S0140525X13002434

Mapping Behavioural and Neural Profile of Observational Learning
31/12/12 → 23/09/16
Project: Research

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title = "Testing key predictions of the associative account of mirror neurons in humans using multivariate pattern analysis.",

abstract = "Cook et al. overstate the evidence supporting their associative account of mirror neurons in humans: most studies do not address a key property, action-specificity that generalizes across the visual and motor domains. Multivariate pattern analysis (MVPA) of neuroimaging data can address this concern, and we illustrate how MVPA can be used to test key predictions of their account",

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Testing key predictions of the associative account of mirror neurons in humans using multivariate pattern analysis.

Abstract

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Mapping Behavioural and Neural Profile of Observational Learning

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