Topographic Receptive Fields and Patterned Lateral Interaction in a Self-Organizing Model of the Primary Visual Cortex

Abstract

This article presents a self-organizing neural network model for the simultaneous and cooperative development of topographic receptive fields and lateral interactions in cortical maps. Both afferent and lateral connections adapt by the same Hebbian mechanism in a purely local and unsupervised learning process. Afferent input weights of each neuron self… (More)
DOI: 10.1162/neco.1997.9.3.577

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Cite this paper

@article{Sirosh1997TopographicRF, title={Topographic Receptive Fields and Patterned Lateral Interaction in a Self-Organizing Model of the Primary Visual Cortex}, author={Joseph Sirosh and Risto Miikkulainen}, journal={Neural computation}, year={1997}, volume={9 3}, pages={577-94} }