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发育性面孔失认症严重病例中的正常greeble学习。

Normal greeble learning in a severe case of developmental prosopagnosia.

作者信息

Duchaine Bradley C, Dingle Kerry, Butterworth Edward, Nakayama Ken

机构信息

Vision Sciences Laboratory, Department of Psychology, Harvard University, 33 Kirkland Street, Cambridge, Massachusetts 02138, USA.

出版信息

Neuron. 2004 Aug 19;43(4):469-73. doi: 10.1016/j.neuron.2004.08.006.

Abstract

A central question in cognitive neuroscience is whether mechanisms exist that are specialized for particular domains. One of the most commonly cited examples of a domain-specific competence is the human ability to recognize upright faces. However, according to a widely discussed alternative hypothesis, face recognition is instead performed by mechanisms specialized for processing any object class for which an individual has expertise. Faces, according to this domain-general hypothesis, are just one example of an expert class. Nonface object expertise has been intensively investigated using a training procedure involving an artificial stimulus class known as greebles. A key prediction of this hypothesis is that individuals with face recognition impairments will also have impairments with other categories that control subjects have expertise with. Our results show that a man with severe prosopagnosia performed normally throughout the standard greeble training procedure. These findings indicate that face recognition and greeble recognition rely on separate mechanisms.

摘要

认知神经科学中的一个核心问题是,是否存在专门针对特定领域的机制。特定领域能力最常被引用的例子之一是人类识别直立面孔的能力。然而,根据一个被广泛讨论的替代假说,人脸识别反而由专门处理个体拥有专业知识的任何物体类别的机制来执行。根据这个领域通用假说,面孔只是专家类别中的一个例子。非面孔物体专业知识已经通过一种涉及被称为greebles的人工刺激类别的训练程序进行了深入研究。这个假说的一个关键预测是,人脸识别受损的个体在其他控制组受试者拥有专业知识的类别上也会有损伤。我们的结果表明,一名患有严重面孔失认症的男性在整个标准greeble训练过程中表现正常。这些发现表明,人脸识别和greeble识别依赖于不同的机制。

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