Coexisting Behaviors of Asymmetric Attractors in Hyperbolic-Type Memristor based Hopfield Neural Network-Reference-Cited by-同舟云学术

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Coexisting Behaviors of Asymmetric Attractors in Hyperbolic-Type Memristor based Hopfield Neural Network

Published:2017-08-23 Issue: Volume:11 Page:
ISSN:1662-5188
Container-title:Frontiers in Computational Neuroscience
language:
Short-container-title:Front. Comput. Neurosci.

Author:

Bao Bocheng,Qian Hui,Xu Quan,Chen Mo,Wang Jiang,Yu Yajuan

Funder

National Natural Science Foundation of China

Publisher

Frontiers Media SA

Subject

Cellular and Molecular Neuroscience,Neuroscience (miscellaneous)

Reference43 articles.

1. Three fingerprints of memristor;Adhikari;IEEE Trans. Circuits Syst. I,2013

2. Memristor bridge synapse-based neural network and its learning;Adhikari;IEEE Trans. Neural Netw. Learn. Syst,2012

3. Hidden extreme multistability in memristive hyperchaotic system;Bao;Chaos Solit Fractals,2017

4. Mapping equivalent approach to analysis and realization of memristor-based dynamical circuit;Bao;Chin. Phys. B,2014

5. Complex transient dynamics in periodically forced memristive Chua's circuit;Bao;Nonlinear Dyn.,2015

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