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原文連結
論文資訊
- 類型：已發表論文
- 日期：2011
摘要
Congenital prosopagnosia is a selective deficit in face identification that is present from birth. Previously, behavioral deficits in face recognition and differences in the neuroanatomical structure and functional activation of face processing areas have been documented mostly in separate studies. Here, we propose a 神經 網絡 model of congenital prosopagnosia which relates behavioral and neuropsychological studies of prosopagnosia to theoretical models of 資訊 processing. In this study we trained a 神經 網絡 with two different algorithms to represent face images. First, we introduced a predisposition towards a decreased 網絡 connectivity implemented as a temporal independent component analysis (ICA). This predisposition induced a featural representation of faces in terms of isolated face parts. Secon
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