Stimuli‐responsive memristive materials for artificial synapses and neuromorphic computing
Neuromorphic computing holds promise for building next‐generation intelligent systems in a
more energy‐efficient way than the conventional von Neumann computing architecture …
more energy‐efficient way than the conventional von Neumann computing architecture …
基于忆阻器的混沌, 存储器及神经网络电路研究进展
王春华， 蔺海荣， 孙晶如， 周玲， 周超， 邓全利 - 电子与信息学报, 2020 - jeit.ac.cn
忆阻器是除电阻, 电容, 电感之外发现的第4 种基本电子元件, 它是一种具有记忆特性的非线性
器件, 可用于混沌, 存储器, 神经网络等电路与系统的实现. 该文对基于忆阻器的混沌电路 …
器件, 可用于混沌, 存储器, 神经网络等电路与系统的实现. 该文对基于忆阻器的混沌电路 …
Memristor-based neural network circuit with multimode generalization and differentiation on Pavlov associative memory
J Sun, Y Wang, P Liu, S Wen… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Most of the classical conditioning laws implemented by existing circuits are involved in
learning and forgetting between only three neurons, and the problems between multiple …
learning and forgetting between only three neurons, and the problems between multiple …
[HTML][HTML] Brain-inspired computing with memristors: Challenges in devices, circuits, and systems
This article provides a review of current development and challenges in brain-inspired
computing with memristors. We review the mechanisms of various memristive devices that …
computing with memristors. We review the mechanisms of various memristive devices that …
A multi-stable memristor and its application in a neural network
Nowadays, there is a lot of study on memristor-based systems with multistability. However,
there is no study on memristor with multistability. This brief constructs a mathematical …
there is no study on memristor with multistability. This brief constructs a mathematical …
Reproduce the biophysical function of chemical synapse by using a memristive synapse
F Wu, Y Guo, J Ma - Nonlinear Dynamics, 2022 - Springer
Dynamical modeling of nervous systems is of fundamental importance in many scientific
fields containing the topics relative to computational neuroscience and biophysics. Many …
fields containing the topics relative to computational neuroscience and biophysics. Many …
Memristor-based neural network circuit of full-function pavlov associative memory with time delay and variable learning rate
J Sun, G Han, Z Zeng, Y Wang - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Most memristor-based Pavlov associative memory neural networks strictly require that only
simultaneous food and ring appear to generate associative memory. In this article, the time …
simultaneous food and ring appear to generate associative memory. In this article, the time …
A memristive spiking neural network circuit with selective supervised attention algorithm
Spiking neural networks (SNNs) are biologically plausible and computationally powerful.
The current computing systems based on the von Neumann architecture are almost the …
The current computing systems based on the von Neumann architecture are almost the …
Memristor-based neural network circuit of associative memory with overshadowing and emotion congruent effect
J Sun, Y Zhai, P Liu, Y Wang - IEEE Transactions on Neural …, 2024 - ieeexplore.ieee.org
Most memristor-based neural network circuits consider only a single pattern of
overshadowing or emotion, but the relationship between overshadowing and emotion is …
overshadowing or emotion, but the relationship between overshadowing and emotion is …
Memristor-based circuit design for multilayer neural networks
Memristors are promising components for applications in nonvolatile memory, logic circuits,
and neuromorphic computing. In this paper, a novel circuit for memristor-based multilayer …
and neuromorphic computing. In this paper, a novel circuit for memristor-based multilayer …