In this paper, a new method for generating symmetric multi-scroll attractors is proposed
based on a magnetized Hopfield neural network (HNN). Firstly, the mathematical model of …

This paper presents a novel third-order autonomous memristive diode bridge-based
oscillator with fast-slow effect. Based on the modeling of the presented memristive oscillator …

The processing and transmission of biological neural information are jointly completed by
the electromagnetic activities of neurons in different brain regions. And memristor is the …

This paper is investigating the hyperchaotic dynamics of a novel hyperchaotic oscillator
(made of only three electronics components namely a transformer, a capacitor and a …

In the present study, a novel application of nature-inspired heuristics is presented for
problems in nonlinear circuit analysis using neural networks, particle swarm optimization …

Fractional calculus research indicates that, within the field of neural networks, fractional-
order systems more accurately simulate the temporal memory effects present in the human …

In this paper, a novel four-dimensional autonomous chaotic system based on memristive
diode bridge is presented, and it consists of a simple linear oscillation and a memristor …

Balance between biological plausibility of dynamical activities and computational efficiency
is one of challenging problems in computational neuroscience and neural system …

Two-dimensional transition metal dichalcogenide-based memtransistors provide simulation,
sensing, and storage capabilities for applications in a remotely operated aerospace …

A simple 5D hyperchaotic system recently introduced in the literature is modified by using a
charge-controlled memristor model and striking behaviors are uncovered. The resulting …