Hidden extreme multistability and its control with selection of a desired attractor in a non-autonomous Hopfield neuron

• Published in: International journal of electronics and communications Vol. 144; p. 154059
• Main Authors: Sami Doubla, Isaac, Ramakrishnan, Balamurali, Tabekoueng Njitacke, Zeric, Kengne, Jacques, Rajagopal, Karthikeyan
• Format: Journal Article
• Language: English
• Published: Elsevier GmbH 01.02.2022
• Subjects: Control of the extreme multistability; Hamiltonian energy; Hidden extreme multistability; Hopfield neuron; Memristor; PSpice Simulations; Memristor; Hamiltonian energy; Hopfield neuron; Hidden extreme multistability; PSpice Simulations; Control of the extreme multistability

In this article, a single nonautonomous Hopfield neuron is investigated. This neuron involves a new hyperbolic-type memristor as self-synaptic weight. The current–voltage characteristics of the new memristor enables the observation of the hysteresis loop with more than one pinch. The analysis of the...