Abstract
We show that particular features of prosopagnosic impairment can be simulated by a connectionist model trained with an unsupervised learning procedure. In particular we describe a Kohonen's neural network which is able to correctly recognize and categorize a series of digitized pictures of faces when learning is characterized by certain parameter values, but which shows a prosopagnosic behavior when lateral connections are leasioned. We discuss the relationship between this result and some neurophysiological hypotheses about prosopagnosia.
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Received: 26 February 1998 / Accepted in revised form: 5 November 1998
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Pessa, E., Bandinelli, P. & Penna, M. Simulating prosopagnosia through a lesion of lateral connections in a feed-forward neural network. Ital J Neurol Sci 20, 29–36 (1999). https://doi.org/10.1007/s100720050007
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DOI: https://doi.org/10.1007/s100720050007