Results 21 to 30 of about 36,882 (315)
Frontiers in Communications and Networks, 2021 As the memristor device is asymmetrical in nature, it is not a bilateral element like the resistor in terms of circuit functionality. Thus, it causes hindrance in some memristor-based applications such as in cellular nonlinear network neighborhood ...
Aliyu Isah +4 more
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Homogeneous Spiking Neuromorphic System for Real-World Pattern Recognition [PDF]
, 2015 A neuromorphic chip that combines CMOS analog spiking neurons and memristive synapses offers a promising solution to brain-inspired computing, as it can provide massive neural network parallelism and density.
Saxena, Vishal, Wu, Xinyu, Zhu, Kehan
core +3 more sources
A Voltage Mode Memristor Bridge Synaptic Circuit with Memristor Emulators
Sensors, 2012 A memristor bridge neural circuit which is able to perform signed synaptic weighting was proposed in our previous study, where the synaptic operation was verified via software simulation of the mathematical model of the HP memristor.
Leon Chua +3 more
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Ferroelectric Domain Wall Memristor [PDF]
Advanced Functional Materials, 2020 AbstractA domain wall‐enabled memristor is created, in thin film lithium niobate capacitors, which shows up to twelve orders of magnitude variation in resistance. Such dramatic changes are caused by the injection of strongly inclined conducting ferroelectric domain walls, which provide conduits for current flow between electrodes. Varying the magnitude
James P. V. McConville +11 more
openaire +4 more sources
A review of memristor: material and structure design, device performance, applications and prospects
Science and Technology of Advanced Materials, 2023 With the booming growth of artificial intelligence (AI), the traditional von Neumann computing architecture based on complementary metal oxide semiconductor devices are facing memory wall and power wall.
Yongyue Xiao +6 more
semanticscholar +1 more source
Threshold-Type Binary Memristor Emulator Circuit
IEEE Access, 2019 A floating memristor emulator composed of off-the-shelf devices is presented to mimic the dynamics of threshold-type binary memristor. The diodes combined with proportional amplifier circuits are used to model the threshold sensitive behavior.
Yan Liang +4 more
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Discrete Memristor and Discrete Memristive Systems
Entropy, 2022 In this paper, we investigate the mathematical models of discrete memristors based on Caputo fractional difference and G–L fractional difference. Specifically, the integer-order discrete memristor is a special model of those two cases.
Shaobo He +4 more
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Configurable activation function realized by non-linear memristor for neural network
AIP Advances, 2020 The activation function is a crucial part for memristive neural networks. For the first time, we propose a memristor-based activation function by using the natural non-linear characteristics of the memristor itself. Compared to the virtual ground circuit
Kun Li +7 more
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Experience on material implication computing with an electromechanical memristor emulator [PDF]
, 2016 Memristors are being considered as a promising emerging device able to introduce new paradigms in both data storage and computing. In this paper the authors introduce the concept of a quasi-ideal experimental device that emulates the fundamental behavior
Escudero López, Manuel +5 more
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A Nonvolatile Fractional Order Memristor Model and Its Complex Dynamics
Entropy, 2019 It is found that the fractional order memristor model can better simulate the characteristics of memristors and that chaotic circuits based on fractional order memristors also exhibit abundant dynamic behavior.
Jian Wu +4 more
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