Rapid Processing and Unsupervised Learning in a Model of the Cortical Macrocolumn

DOI10.1162/089976604772744893zbMath1111.68620OpenAlexW2137466647WikidataQ48556150 ScholiaQ48556150MaRDI QIDQ4823752

Jörg Lücke, Christoph von der Malsburg

Publication date: 28 October 2004

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

Full work available at URL: https://doi.org/10.1162/089976604772744893

zbMATH Keywords

simulations of artificial neural networks

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural biology (92C20)

Related Items (4)

Towards cortex sized artificial neural systems ⋮ Rapid Convergence to Feature Layer Correspondences ⋮ What Is the Optimal Architecture for Visual Information Routing? ⋮ Receptive Field Self-Organization in a Model of the Fine Structure in V1 Cortical Columns

Cites Work

• A model of cortical memory processing based on columnar organization
• Generalization in Interactive Networks: The Benefits of Inhibitory Competition and Hebbian Learning
• Preintegration Lateral Inhibition Enhances Unsupervised Learning
• A mathematical theory of the functional dynamics of cortical and thalamic nervous tissue
• Biophysiologically Plausible Implementations of the Maximum Operation
• Neural networks and physical systems with emergent collective computational abilities.

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