circuit implementation

This paper introduces a novel five-dimensional memristive artificial neural network (ANN) incorporating a flux-controlled memristor to model the effects of external electromagnetic radiation on neuronal dynamics.  The network is mathematically formulated as a six-dimensional nonlinear dynamical system, where the additional dimension accounts for the memristive state variable.  A comprehensive dynamical analysis is performed, including bifurcation diagrams, Lyapunov exponents, Kaplan-Yorke dimension, time-domain responses, and phase portraits, revealing complex chaotic b

The paper introduces a new seven-dimensional (7D) chaotic system based on a memristor emulator created using a hyperbolic tangent function.  This system is derived from a six-dimensional (6D) dynamic system of equations that describes the process of magnetic field generation, serving as an alternative to the Rikitake dynamo, which explains the inversion of the magnetic field of the Earth and other celestial bodies.  The study analyzes the stability of equilibrium points in the new dynamical system.  The Lyapunov exponents spectrum and the Kaplan–Yorke dimension are calc