Self-Organization of Innate Face Preferences: Could Genetics Be Expressed Through Learning?

Bednar, James A. and Miikkulainen, Risto (2000) Self-Organization of Innate Face Preferences: Could Genetics Be Expressed Through Learning? [Conference Paper]

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Self-organizing models develop realistic cortical structures when given approximations of the visual environment as input, and are an effective way to model the development of face recognition abilities. However, environment-driven self-organization alone cannot account for the fact that newborn human infants will preferentially attend to face-like stimuli even immediately after birth. Recently it has been proposed that internally generated input patterns, such as those found in the developing retina and in PGO waves during REM sleep, may have the same effect on self-organization as does the external environment. Internal pattern generators constitute an efficient way to specify, develop, and maintain functionally appropriate perceptual organization. They may help express complex structures from minimal genetic information, and retain this genetic structure within a highly plastic system. Simulations with the RF-LISSOM model show that such preorganization can account for newborn face preferences, providing a computational framework for examining how genetic influences interact with experience to construct a complex system.

Item Type:Conference Paper
Keywords:face detection, face preferences, face recognition, self-organization, REM sleep, pattern generation, newborn, retinal waves, PGO waves, plasticity, nature/nurture, genome, CONSPEC/CONLERN
Subjects:Computer Science > Neural Nets
Psychology > Developmental Psychology
Neuroscience > Neural Modelling
ID Code:1899
Deposited By: Bednar, James A.
Deposited On:18 Nov 2001
Last Modified:11 Mar 2011 08:54

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