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Generating n-Scroll Chaotic Attractors From A Memristor-based Magnetized Hopfield Neural Network
(2022-10-06)
This brief presents a novel method to generate n-scroll chaotic attractors. First, a magnetized Hopfield neural network (HNN) with three neurons is modeled by introducing an improved multi-piecewise memristor to describe ...
Hyperchaotic memristive ring neural network and application in medical image encryption
(2022-06-29)
Neural networks are favored by academia and industry because of their diversity of dynamics. However, it is difficult for ring neural networks to generate complex dynamical behaviors due to their special structure. In this ...
Memristive Cluster Based Compact High-Density Nonvolatile Memory Design and Application for Image Storage
(2022-05-28)
As a new type of nonvolatile device, the memristor has become one of the most promising technologies for designing a new generation of high-density memory. In this paper, a 4-bit high-density nonvolatile memory based on a ...
A Multi-Value 3D Crossbar Array Nonvolatile Memory Based on Pure Memristors
(2022-05-06)
How to improve the storage density and solve the sneak path current problem has become the key to the design of nonvolatile memristive memory. In this paper, a high storage density and high reading/writing speed 3D crossbar ...
Memristor-Based Affective Associative Memory Neural Network Circuit with Emotional Gradual Processes
(2022-04-01)
In the existing affective associative memory neural network circuits, the change of emotions in the affective associative learning and forgetting processes is abrupt and the intensity of emotions is invariable. In fact, ...
Cluster Output Synchronization for Memristive Neural Networks
(2022-04-01)
Herein, cluster output synchronization for memristive neural networks (MNNs) is investigated using two different control schemes. Existing synchronization models for MNNs focus on the behavior of a single neuron node in ...
Brain-like Initial-boosted Hyperchaos and Application in Biomedical Image Encryption
(2022-03-03)
Neural networks have been widely and deeply studied in the field of computational neurodynamics. However, coupled neural networks and their brain-like chaotic dynamics have not been noticed yet. This paper focuses on the ...