Hidden multistability in a memristor-based cellular neural network

DOI10.1155/2020/9708649zbMath1477.37088OpenAlexW3096320150MaRDI QIDQ2246147

Birong Xu, Hairong Lin, Guang Yi Wang

Publication date: 15 November 2021

Published in: Advances in Mathematical Physics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2020/9708649

zbMATH Keywords

multistabilitymemristor-based cellular neural network

Mathematics Subject Classification ID

Dynamical systems in biology (37N25) Neural networks for/in biological studies, artificial life and related topics (92B20) Simulation of dynamical systems (37M05)

Related Items (1)

Chaos in a Simplest Cyclic Memristive Neural Network

Cites Work

• Dynamic behaviors of a class of memristor-based Hopfield networks
• Coexisting multi-stable patterns in memristor synapse-coupled Hopfield neural network with two neurons
• The amplitude, frequency and parameter space boosting in a memristor-meminductor-based circuit
• Finite-time stability and synchronization of memristor-based fractional-order fuzzy cellular neural networks
• Chaotic dynamics in a neural network with different types of external stimuli
• Memristor initial boosting behaviors in a two-memristor-based hyperchaotic system
• Influences of electromagnetic radiation distribution on chaotic dynamics of a neural network
• Cellular neural networks: theory
• Hidden extreme multistability with hyperchaos and transient chaos in a Hopfield neural network affected by electromagnetic radiation

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