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Low-Power Memristor for Neuromorphic Computing: From Materials to Applications
Nano-Micro LettersAs an emerging memory device, memristor shows great potential in neuromorphic computing applications due to its advantage of low power consumption. This review paper focuses on the application of low-power-based memristors in various aspects. The concept
Jialin Meng
exaly +2 more sources
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
doaj +1 more source
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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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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Memristor-Based Lozi Map with Hidden Hyperchaos
Mathematics, 2022 Recently, the application of memristors to improve chaos complexity in discrete chaotic systems has been paid more and more attention to. To enrich the application examples of discrete memristor-based chaotic systems, this article proposes a new three ...
Jiang Wang +4 more
doaj +1 more source
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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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.
Yong-Yue Xiao +6 more
semanticscholar +1 more source
Oscillatory Circuits With a Real Non-Volatile Stanford Memristor Model
IEEE Access, 2022 Stanford memristor model is a widely used model that accurately characterizes real non-volatile metal-oxide resistive random access memory (RRAM) devices with bipolar switching characteristics.
Mauro Di Marco +5 more
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