Results 11 to 20 of about 19,562 (279)
Perceptrons from memristors [PDF]
Neural Networks, 2020 Memristors, resistors with memory whose outputs depend on the history of their inputs, have been used with success in neuromorphic architectures, particularly as synapses and non-volatile memories. However, to the best of our knowledge, no model for a network in which both the synapses and the neurons are implemented using memristors has been proposed ...
Silva, Francisco +4 more
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Entangled quantum memristors [PDF]
Physical Review A, 2021 We propose the interaction of two quantum memristors via capacitive and inductive coupling in feasible superconducting circuit architectures. In this composed system the input gets correlated in time, which changes the dynamic response of each quantum memristor in terms of its pinched hysteresis curve and their nontrivial entanglement.
Kumar, Shubham +6 more
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Scientific Reports, 2016 AbstractTechnology based on memristors, resistors with memory whose resistance depends on the history of the crossing charges, has lately enhanced the classical paradigm of computation with neuromorphic architectures. However, in contrast to the known quantized models of passive circuit elements, such as inductors, capacitors or resistors, the design ...
Pfeiffer, P +4 more
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Proceedings of the great lakes symposium on VLSI, 2012 The memristor (M) is considered to be the fourth two-terminal passive element in electronics, alongside the resistor (R), the capacitor (C), and the inductor (L). Its existence was postulated in 1971 but its first implementation was reported in 2008. Where was it hiding all that time and what can we do with it?
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A ferroelectric memristor [PDF]
Nature Materials, 2012 Memristors are continuously tunable resistors that emulate synapses. Conceptualized in the 1970s, they traditionally operate by voltage-induced displacements of matter, but the mechanism remains controversial. Purely electronic memristors have recently emerged based on well-established physical phenomena with albeit modest resistance changes.
Chanthbouala, André +12 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
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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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Regulation of firing rhythms in a four‐stable memristor‐based Hindmarsh–Rose neuron
Electronics Letters, 2021 This letter presents a novel locally active memristor with four‐stable pinched hysteresis loops which has never been reported before. The non‐volatile memory and local activity of the memristor are verified by the power‐off plot and DC V–I plot.
Zhijun Li, Haiyan Zhou
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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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Comment on "If it's pinched it's a memristor" by L. Chua [Semicond. Sci. Technol. 29, 104001 (2014)] [PDF]
, 2019 In his paper "If it's pinched it's a memristor" [Semicond. Sci. Technol. 29, 104001 (2014)] L. Chua claims to extend the notion of memristor to all two-terminal resistive devices that show a hysteresis loop pinched at the origin.
Di Ventra, M., Pershin, Y. V.
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