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Pattern-Generator-Driven Development in Self-Organizing Models

Bednar, James A. and Miikkulainen, Risto (1998) Pattern-Generator-Driven Development in Self-Organizing Models. [Conference Paper]

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Abstract

Self-organizing models develop realistic cortical structures when given approximations of the visual environment as input. 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. Internal pattern generators would 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 orientation map model indicate that such preorganization is possible, providing a computational framework for examining how genetic influences interact with visual experience.

Item Type:Conference Paper
Keywords:genetics, genetic expression, development, visual system, self-organization, pattern generation, complex adaptivesystems, retinal waves, PGO waves, spontaneous activity, endogenous activity, sleep, orientation map, orientationpreference, innate, RF-LISSOM, evolution, ontogeny, perception
Subjects:Neuroscience > Computational Neuroscience
Computer Science > Artificial Intelligence
Computer Science > Complexity Theory
Computer Science > Machine Learning
Computer Science > Neural Nets
Psychology > Developmental Psychology
Neuroscience > Neural Modelling
Neuroscience > Neural Modelling
ID Code:140
Deposited By:Bednar, James A.
Deposited On:22 Feb 2000
Last Modified:11 Mar 2011 08:53

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