当前位置: X-MOL 学术Annu. Rev. Vis. Sci. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Spatial Integration in Normal Face Processing and Its Breakdown in Congenital Prosopagnosia
Annual Review of Vision Science ( IF 5.0 ) Pub Date : 2021-09-15 , DOI: 10.1146/annurev-vision-113020-012740
Galia Avidan 1 , Marlene Behrmann 2
Affiliation  

Congenital prosopagnosia (CP), a life-long impairment in face processing that occurs in the absence of any apparent brain damage, provides a unique model in which to explore the psychological and neural bases of normal face processing. The goal of this review is to offer a theoretical and conceptual framework that may account for the underlying cognitive and neural deficits in CP. This framework may also provide a novel perspective in which to reconcile some conflicting results that permits the expansion of the research in this field in new directions. The crux of this framework lies in linking the known behavioral and neural underpinnings of face processing and their impairments in CP to a model incorporating grid cell–like activity in the entorhinal cortex. Moreover, it stresses the involvement of active, spatial scanning of the environment with eye movements and implicates their critical role in face encoding and recognition. To begin with, we describe the main behavioral and neural characteristics of CP, and then lay down the building blocks of our proposed model, referring to the existing literature supporting this new framework. We then propose testable predictions and conclude with open questions for future research stemming from this model.

中文翻译:


正常人脸处理中的空间整合及其在先天性面容失认症中的分解

先天性面容失认症 (CP) 是一种在没有任何明显脑损伤的情况下发生的终身面部处理障碍,它提供了一个独特的模型来探索正常面部处理的心理和神经基础。本综述的目的是提供一个理论和概念框架,可以解释 CP 中潜在的认知和神经缺陷。这个框架也可以提供一个新的视角来调和一些相互矛盾的结果,从而使该领域的研究向新的方向扩展。该框架的关键在于将已知的面部处理的行为和神经基础及其在 CP 中的损伤与内嗅皮层中包含网格细胞样活动的模型联系起来。此外,它强调积极的参与,通过眼球运动对环境进行空间扫描,并暗示它们在面部编码和识别中的关键作用。首先,我们描述了 CP 的主要行为和神经特征,然后参考支持这个新框架的现有文献,奠定了我们提出的模型的构建块。然后,我们提出可测试的预测,并以基于该模型的未来研究的开放性问题结束。

更新日期:2021-09-17
down
wechat
bug