A class of convergent neural network dynamics

DOI10.1016/S0167-2789(97)80016-4zbMath0944.34039OpenAlexW1995572708WikidataQ126421661 ScholiaQ126421661MaRDI QIDQ1376447

Bernold Fiedler, Tomáš Gedeon

Publication date: 17 December 1997

Published in: Physica D (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0167-2789(97)80016-4

zbMATH Keywords

trajectoriesLyapunov functiondifferential equationsLotka-Volterra systemsconvergence theorem

Mathematics Subject Classification ID

Dynamical systems in biology (37N25) Pattern recognition, speech recognition (68T10) Homoclinic and heteroclinic solutions to ordinary differential equations (34C37)

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New exponential stability results for delayed neural networks with time varying delays ⋮ Global attraction and stability for Cohen--Grossberg neural networks with delays ⋮ On a multistable competitive network model in the case of an inhomogeneous growth rate spectrum: With an application to priming ⋮ Network dynamics: tools and examples ⋮ TOOLS FOR NETWORK DYNAMICS ⋮ Exponential \(p\)-stability of delayed Cohen-Grossberg-type BAM neural networks with impulses ⋮ Global dynamics of neural nets with infinite gain ⋮ Cycle-symmetric matrices and convergent neural networks ⋮ ON THE TEMPLATES CORRESPONDING TO CYCLE-SYMMETRIC CONNECTIVITY IN CELLULAR NEURAL NETWORKS

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