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

Nikolaas N. Oosterhof; Alison J. Wiggett; Emily S. Cross

doi:10.1017/S0140525X13002434

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

Nikolaas N. Oosterhof, Alison J. Wiggett, Emily S. Cross

Research output: Contribution to journal › Comment/opinion

3 Citations (Scopus)

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
Number of pages	3
Journal	Behavioral and Brain Sciences
Volume	37
Issue number	2
DOIs	https://doi.org/10.1017/S0140525X13002434
Publication status	Published - Apr 2014
Externally published	Yes

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10.1017/S0140525X13002434

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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.",

author = "Oosterhof, {Nikolaas N.} and Wiggett, {Alison J.} and Cross, {Emily S.}",

year = "2014",

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AU - Wiggett, Alison J.

AU - Cross, Emily S.

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N2 - 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.

AB - 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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U2 - 10.1017/S0140525X13002434

DO - 10.1017/S0140525X13002434

M3 - Comment/opinion

C2 - 24775171

AN - SCOPUS:84899691342

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SP - 213

EP - 215

JO - Behavioral and Brain Sciences

JF - Behavioral and Brain Sciences

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ER -

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

Abstract

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