Preintegration Lateral Inhibition Enhances Unsupervised Learning

DOI10.1162/089976602320264033zbMath1015.68917OpenAlexW2145211411WikidataQ48507811 ScholiaQ48507811MaRDI QIDQ3149510

Mary Holland Johnson, Michael W. Spratling

Publication date: 26 May 2003

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: http://cogprints.org/2380/1/neurocomp.pdf

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies and applications (68U99)

Related Items (7)

Recurrent Network with Large Representational Capacity ⋮ Rapid Processing and Unsupervised Learning in a Model of the Cortical Macrocolumn ⋮ Nonlinear Complex-Valued Extensions of Hebbian Learning: An Essay ⋮ A Generalized Divergence Measure for Nonnegative Matrix Factorization ⋮ Selectivity and Stability via Dendritic Nonlinearity ⋮ Receptive Field Self-Organization in a Model of the Fine Structure in V1 Cortical Columns ⋮ A Low-Order Model of Biological Neural Networks

Cites Work

• Cooperative self-organization of afferent and lateral connections in cortical maps
• Generalization in Interactive Networks: The Benefits of Inhibitory Competition and Hebbian Learning
• Information Processing in Dendritic Trees
• The development of topography in the visual cortex: a review of models

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