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

机译:使用多元模式分析测试人的镜像神经元的关联帐户的关键预测

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摘要

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.
机译:Cook等。夸大了支持他们在人类中镜像神经元的关联性描述的证据:大多数研究并未针对在视觉和运动领域普遍存在的关键特性,动作特异性。神经影像数据的多变量模式分析(MVPA)可以解决这一问题,我们将说明MVPA如何用于测试其帐户的关键预测。

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  • 来源
    《Behavioral and Brain Sciences》 |2014年第2期|213-215|共3页
  • 作者单位

    Centro Interdipartimentale Mente/Cervello (CIMeC), University of Trento, 38068 Rovereto, Trento, Italy,Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH 03755,Department of Psychology, Harvard University, Cambridge, MA 02138;

    Wales Institute of Cognitive Neuroscience, School of Psychology, Bangor University, Bangor, Gwynne, LL57 2AS, United Kingdom;

    Wales Institute of Cognitive Neuroscience, School of Psychology, Bangor University, Bangor, Gwynne, LL57 2AS, United Kingdom,Behavioural Science Institute and Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, 6525 EN Nijmegen, The Netherlands;

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  • 入库时间 2022-08-18 02:20:42

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