Complex dynamics in a Hopfield neural network under electromagnetic induction and electromagnetic radiation

Due to the potential difference between two neurons and that between the inner and outer membranes of an individual neuron, the neural network is always exposed to complex electromagnetic environments. In this paper, we utilize a hyperbolic-type memristor and a quadratic nonlinear memristor to emula...

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Veröffentlicht in:	Chaos (Woodbury, N.Y.) N.Y.), 2022-07, Vol.32 (7), p.073107-073107
Hauptverfasser:	Wan, Qiuzhen, Yan, Zidie, Li, Fei, Chen, Simiao, Liu, Jiong
Format:	Artikel
Sprache:	eng
Schlagworte:	Bifurcations Electromagnetic induction Electromagnetic radiation Memristors Neural networks
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