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Modelling of memristor networks and the effective memristor [PDF]
AutomaticazbMATH Open Web Interface contents unavailable due to conflicting licenses.
Anne-Men Huijzer +2 more
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Modeling the AgInSbTe Memristor [PDF]
Radioengineering, 2015 The AgInSbTe memristor shows gradual resistance tuning characteristics, which makes it a potential candidate to emulate biological plastic synapses.
J. Yu +5 more
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Novel memristor and memristor-based applications
The European Physical Journal Special Topics, 2022 This special issue presents 25 papers regarding memristor systems and their applications. Part of the manuscripts are about memristor-based neural systems, and the systems show rich dynamics. Multistability in memristive systems has aroused much interest,
Hengtong Wang +3 more
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A review on memristor applications [PDF]
CoRR, 2015 12 pages, 17 figures in International Journal of Advances in Engineering and Technology (IJAET), june ...
Roberto Marani +2 more
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Perceptrons from memristors [PDF]
Neural Networks, 2020 Added new result on universality of memristors, minor changes in the introduction and algorithm, references ...
Francisco Silva +4 more
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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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Integration of Reconfigurable p-Bit and 1R Crossbar Array for Memristive Probabilistic Computing. [PDF]
Adv Sci (Weinh)A memristive probabilistic computing system is demonstrated by integrating stochastic p‐bits based on volatile memristors with a 1R crossbar array encoding interaction weights. The system performs weighted‐sum operations across the array and updates p‐bits iteratively.
Soh K +7 more
europepmc +2 more sources
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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Plant Signaling & Behavior, 2014 We investigated electrical circuitry of the Venus flytrap, Mimosa pudica and Aloe vera. The goal was to discover if these plants might have a new electrical component--a resistor with memory. This element was postulated recently and the researchers were looking for its presence in different systems.
Alexander G, Volkov +5 more
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Memristor-based Random Access Memory: The delayed switching effect could revolutionize memory design [PDF]
, 2015 Memristor’s on/off resistance can naturally store binary bits for non-volatile memories. In this work, we found that memristor’s another peculiar feature that the switching takes place with a time delay (we name it “the delayed switching”) can be used to
Wang, Frank Z. +6 more
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