A self-organizing model for the development of orientation selectivity and ocular dominance patterns in the visual nervous system

Title:

A self-organizing model for the development of orientation selectivity and ocular dominance patterns in the visual nervous system

Creator:

Muro, Enrique M., Andrade, Miguel A., and Morán, Federico

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:e53fcb77-69aa-44c9-9a71-800bfd156324
uuid:e53fcb77-69aa-44c9-9a71-800bfd156324

Subject:

neural networks, self-organization, Hebbian and anti-Hebbian learning, dendrodendritic diffusion, random spontaneous activity, orientation columns, and ocular domains

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

A binocular model for the prenatal development of the visual nervous systém is proposed. The model is able to reproduce some properties observed in mammals at the moment of birth such as retinotopy, oriented receptive fields, and ocular dominance. One of the outstanding features of the model architecture is the existence of dendrodendritic interaction within each layer. The spontaneous activity of the neurons of the input layer is modeled by spatially and temporally decorrelated activity. The evolution of a connection depends on the output activity of both connected neurons. Hebbian learning has been used for the afferent excitatory connections and anti-Hebbian learning for the lateral inhibitory connections. The model is reduced to a set of ordinary differential equations obtained from a statistical treatment of the dynamics that avoids its explicit dependence on the spontaneous activity.

Language:

English

Rights:

http://creativecommons.org/publicdomain/mark/1.0/
policy:public

Source:

Neural network world: international journal on neural and mass-parallel computing and information systems | 2002 Volume:12 | Number:4

Harvested from:

CDK

Metadata only:

false