Search
Now showing items 1-10 of 10
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, ...
Memristor-based neural network circuit with weighted sum simultaneous perturbation training and its applications
(2021-08-20)
In this work, a full circuit of memristor-based neural network with weighted sum simultaneous perturbation training is proposed. Firstly, a synaptic circuit is designed by using a pair of memristors, which can represent ...
Neural Bursting and Synchronization Emulated by Neural Networks and Circuits
(2021-06-02)
Nowadays, research, modeling, simulation and realization of brain-like systems to reproduce brain behaviors have become urgent requirements. In this paper, neural bursting and synchronization are imitated by modeling two ...
An Extremely Simple Multi-Wing Chaotic System: Dynamics Analysis, Encryption Application and Hardware Implementation
(2020-12-31)
Polynomial functions have been the main barrierrestricting the circuit realization and engineering applicationof multi-wing chaotic systems (MWCSs). To eliminate thisbottleneck, we construct a simple MWCS without ...
Exponential multistability of memristive Cohen-Grossberg neural networks with stochastic parameter perturbations
(2020-12-01)
Due to instability being induced easily by parameter disturbances of network systems, this paper investigates the multistability of memristive Cohen-Grossberg neural networks (MCGNNs) under stochastic parameter perturbations. ...
Synchronization of inertial memristive neural networks with time-varying delays via static or dynamic event-triggered control
(2020-09-03)
This paper investigates the synchronization problem of inertial memristive neural networks (IMNNs) with time-varying delays via event-triggered control (ETC) scheme and state feedback controller for the first time. First, ...
Weighted Sum Synchronization of Memristive Coupled Neural Networks
(2020-08-25)
It is well known that weighted sum of node states plays an essential role in function implementation of neural networks. Therefore, this paper proposes a new weighted sum synchronization model for memristive neural networks. ...
Robust Multimode Function Synchronization of Memristive Neural Networks with Parameter Perturbations and Time-Varying Delays
(2020-06-10)
Currently, some works on studying complete synchronization of dynamical systems are usually restricted to its two special cases: 1) power-rate synchronization and 2) exponential synchronization. Therefore, how to give a ...
A multi-stable memristor and its application in a neural network
(2020-06-08)
Nowadays, there is a lot of study on memristorbased systems with multistability. However, there is no study on memristor with multistability. This brief constructs a mathematical memristor model with multistability. The ...
Firing multistability in a locally active memristive neuron model
(2020-06-01)
The theoretical, numerical and experimental demonstrations of firing dynamics in isolated neuron are of great significance for the understanding of neural function in human brain. In this paper, a new type of locally active ...