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Offset-Control Plane Coexisting Behaviors in Two-Memristor-Based Hopfield Neural Network

IEEE transactions on industrial electronics (1982. Print), 2023
Memristor synapse with activated synaptic plasticity can be taken as an adaptive connection synaptic weight. To demonstrate its kinetic effects, in this article, we present an improved Hopfield neural network with two memristive self-connection synaptic ...
H. Bao   +4 more
semanticscholar   +1 more source

Memristor‐Based Neuromorphic Chips

Advanced Materials
In the era of information, characterized by an exponential growth in data volume and an escalating level of data abstraction, there has been a substantial focus on brain‐like chips, which are known for their robust processing power and energy‐efficient ...
Bai Sun
exaly   +2 more sources

Locally Active Memristor-Based Neuromorphic Circuit: Firing Pattern and Hardware Experiment

IEEE Transactions on Circuits and Systems Part 1: Regular Papers, 2023
Analog circuit implementation of neuron model is an essential category of neuromorphic circuit since it can reproduce neuron firing patterns and assist in exploring neuron-based applications.
Quan Xu   +4 more
semanticscholar   +1 more source

A three-dimensional memristor-based hyperchaotic map for pseudorandom number generation and multi-image encryption.

Chaos
The resistance state of a memristor can be influenced by external stimuli, and these variations can be converted into a pseudorandom sequence through appropriate circuitry and control mechanisms.
Suo Gao   +9 more
semanticscholar   +1 more source

Memristor Emulator for Memristor Circuit Applications

IEEE Transactions on Circuits and Systems I: Regular Papers, 2012
A memristor emulator which imitates the behavior of a TiO2 memristor is presented. Our emulator is built from off-the-shelf solid state components. To develop real world memristor circuit applications, the emulator can be used for breadboard experiments in real time. Two or more memristor emulators can be connected in serial, in parallel, or in hybrid (
null Hyongsuk Kim   +4 more
openaire   +1 more source

Memristor-Based Artificial Chips.

ACS Nano, 2023
Memristors, promising nanoelectronic devices with in-memory resistive switching behavior that is assembled with a physically integrated core processing unit (CPU) and memory unit and even possesses highly possible multistate electrical behavior, could ...
Bai Sun   +7 more
semanticscholar   +1 more source

Functional Materials for Memristor‐Based Reservoir Computing: Dynamics and Applications

Advanced Functional Materials, 2023
The booming development of artificial intelligence (AI) requires faster physical processing units as well as more efficient algorithms. Recently, reservoir computing (RC) has emerged as an alternative brain‐inspired framework for fast learning with low ...
Guohua Zhang   +8 more
semanticscholar   +1 more source

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