Results 1 to 10 of about 32,825 (324)
The Short-term Memory (D.C. Response) of the Memristor Demonstrates the Causes of the Memristor Frequency Effect [PDF]
, 2014 A memristor is often identified by showing its distinctive pinched hysteresis curve and testing for the effect of frequency. The hysteresis size should relate to frequency and shrink to zero as the frequency approaches infinity.
Adamatzky, Andrew +3 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
doaj +1 more source
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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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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Application of Memristors in Microwave Passive Circuits [PDF]
, 2015 The recent implementation of the fourth fundamental electric circuit element, the memristor, opened new vistas in many fields of engineering applications.
Potrebic, M., Tosic, D.
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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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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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Synaptic plasticity and preliminary-spike-enhanced plasticity in a CMOS-compatible Ta2O5 memristor
Materials & Design, 2020 An artificial synapse that can perform both learning and memory functions was realized using an amorphous Ta2O5 memristor. A Pt/Ta2O5/TiN memristor, with an amorphous Ta2O5 film grown at 100 °C, exhibited reliable bipolar switching properties at the ...
Hyun–Gyu Hwang +6 more
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