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首页> 外文期刊>Journal of vision >Even you, greebles? Normal greeble performance in acquired prosopagnosia supports face specificity
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Even you, greebles? Normal greeble performance in acquired prosopagnosia supports face specificity

机译:甚至你,贪婪的人?在获得性前列腺炎中正常的贪婪表现支持面部特异性

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摘要

A prominent account of face processing suggests that face recognition depends on generic mechanisms involved in processing object classes for which individuals have developed expertise. Many laboratory studies of expertise have used a multi-session training paradigm designed to develop expertise with computer-generated stimuli known as greebles. If the recognition of faces and greebles following training depend on the same mechanisms, impairments with faces should be accompanied by impairments with the acquisition of greeble expertise. Contrary to this prediction, we present two cases of acquired prosopagnosia who exhibit normal greeble learning. Florence (female, 29, with a right anterior temporal resection for epilepsy) and Herschel (male, 55, with right occipitotemporal lesions following several strokes) completed an eight-day greeble training procedure used in previous studies. Their accuracy and response times were similar to those of age-matched control participants. In addition, by the end of the training procedure, both Florence and Herschel fulfilled the criterion expertise researchers claim signals successful acquisition of greeble expertise: comparable response times for greeble recognition at the family and individual level. As expected, Florence and Herschel failed to match controlsa?? learning profile in a follow-up training procedure with faces, demonstrating a dissociation between face and greeble expertise. In addition, Herschela??s lesion disrupted his right fusiform face area (FFA) so his results show that greeble learning can occur without an intact FFA. In sum, our findings are inconsistent with claims from the greeble literature challenging face-specificity, and indicate that distinct mechanisms are used for face recognition and the object recognition processes used in greeble training procedures.
机译:人脸处理的一个突出说明表明,人脸识别取决于处理对象类别所涉及的通用机制,而这些对象已经为个人开发了专门知识。许多对专业知识的实验室研究都使用了多阶段训练范式,旨在利用计算机生成的称为greebles的刺激来开发专业知识。如果训练后对面孔和贪婪者的识别依赖于相同的机制,则在获得贪婪的专业知识的同时,面孔受损应伴随着损害。与此预测相反,我们介绍了表现出正常的贪婪学习的两例获得性围绝经症。佛罗伦萨(女,29岁,右前颞叶切除术用于癫痫病)和赫歇尔(男,55岁,几次中风后右枕颞部病变)完成了先前研究中为期8天的格力训练。他们的准确性和反应时间与年龄相匹配的对照组参与者相似。此外,在培训过程结束时,佛罗伦萨和赫歇尔都达到了专业知识研究人员声称成功获得希腊语专业知识的标准:在家庭和个人层面上可比的响应时间,以实现对希腊语的认可。不出所料,佛罗伦萨和赫歇尔未能达到控制标准?在跟着脸的后续训练过程中学习概况,表明脸和贪婪的专长之间的分离。另外,赫谢拉的病变破坏了他的右梭形面部区域(FFA),因此他的结果表明,在没有完整FFA的情况下可以进行贪婪的学习。总而言之,我们的发现与希腊文文献中质疑面部特异性的说法不一致,并表明在希腊文训练程序中使用不同的机制进行面部识别和使用对象识别过程。

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