Computational Design and Nonlinear Dynamics of a Recurrent Network Model of the Primary Visual Cortex*

DOI10.1162/08997660152469332zbMath0982.92004OpenAlexW2123345231WikidataQ52056968 ScholiaQ52056968MaRDI QIDQ2746337

Zhaoping Li

Publication date: 11 March 2002

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

Full work available at URL: https://discovery.ucl.ac.uk/id/eprint/5445/

zbMATH Keywords

nonlinear dynamicssegmentationneural oscillationsprimary visual cortexcortical processing

Mathematics Subject Classification ID

Neural biology (92C20) Dynamical systems in biology (37N25) Psychophysics and psychophysiology; perception (91E30)

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Cites Work

• A mathematical theory of visual hallucination patterns
• Absolute stability of global pattern formation and parallel memory storage by competitive neural networks
• Computational differences between asymmetrical and symmetrical networks
• Visual segmentation by contextual influences via intra-cortical interactions in the primary visual cortex
• Neural networks and physical systems with emergent collective computational abilities.

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