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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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Modeling the Flux-Charge Relation of Memristor with Neural Network of Smooth Hinge Functions [PDF]
Radioengineering, 2014 The memristor was proposed to characterize the flux-charge relation. We propose the generalized flux-charge relation model of memristor with neural network of smooth hinge functions.
X. Mu, J. Yu, S. Wang
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Memristor Emulator Circuits: Recent Advances in Design Methodologies, Healthcare Applications, and Future Prospects [PDF]
MicromachinesMemristors, as the fourth fundamental circuit element, have attracted significant interest for their potential in analog signal processing, computing, and memory storage technologies.
Amel Neifar +3 more
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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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Initial-Condition Effects on a Two-Memristor-Based Jerk System
Mathematics, 2022 Memristor-based systems can exhibit the phenomenon of extreme multi-stability, which results in the coexistence of infinitely many attractors. However, most of the recently published literature focuses on the extreme multi-stability related to memristor ...
Han Bao +4 more
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Design of the Threshold-Controllable Memristor Emulator Based on NDR Characteristics
Micromachines, 2022 Due to the high manufacturing cost of memristors, an equivalent emulator has been employed as one of the mainstream approaches of memristor research. A threshold-type memristor emulator based on negative differential resistance (NDR) characteristics is ...
Mi Lin +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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Text classification in memristor-based spiking neural networks
Neuromorphic Computing and Engineering, 2023 Memristors, emerging non-volatile memory devices, have shown promising potential in neuromorphic hardware designs, especially in spiking neural network (SNN) hardware implementation.
Jinqi Huang +3 more
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Micromachines, 2023 Binary memristor crossbars have great potential for use in brain-inspired neuromorphic computing. The complementary crossbar array has been proposed to perform the Exclusive-NOR function for neuromorphic pattern recognition.
Minh Le, Son Ngoc Truong
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Dynamical Analysis of Two-Dimensional Memristor Cosine Map
Frontiers in Physics, 2022 Research on discrete memristor models applied to discrete maps deserves more in-depth discussion. In this paper, a continuous memristor is introduced and the discrete memristor model is obtained by the forward Eulerian difference algorithmic ...
Xintong Han +4 more
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