ISSN:
1126-5442
Keywords:
Key words Prosopagnosia
;
Face recognition
;
Connectionism
;
Neural networks
;
Artificial vision
Source:
Springer Online Journal Archives 1860-2000
Topics:
Medicine
Notes:
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.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1007/s100720050007
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