Hopf bifurcation analysis in a tabu learning neuron model with two delays

DOI10.5402/2011/636732zbMath1238.68126OpenAlexW2117145253WikidataQ58689902 ScholiaQ58689902MaRDI QIDQ420218

Yingguo Li

Publication date: 21 May 2012

Published in: ISRN Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.5402/2011/636732

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural networks for/in biological studies, artificial life and related topics (92B20) Dynamical systems in control (37N35)

Related Items (2)

Coexisting Infinitely Many Nonchaotic Attractors in a Memristive Weight-Based Tabu Learning Neuron ⋮ Relaxation self-oscillations in Hopfield networks with delay

Cites Work

• Bifurcations, stability, and monotonicity properties of a delayed neural network model
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• Hopf bifurcation analysis for a two-neuron network with four delays
• Hopf bifurcation analysis of two neurons with three delays
• Tabu Search—Part I
• Tabu Search—Part II
• Absolute stability, conditional stability and bifurcation in Kolmogorov-type predator-prey systems with discrete delays
• Neurons with graded response have collective computational properties like those of two-state neurons.
• HOPF BIFURCATION AND CHAOS IN TABU LEARNING NEURON MODELS

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