Results 11 to 20 of about 48,649 (254)
Memristive Artificial Synapses for Neuromorphic Computing
Nano-Micro Letters, 2021 Neuromorphic computing simulates the operation of biological brain function for information processing and can potentially solve the bottleneck of the von Neumann architecture.
Wen Huang +8 more
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Manufacturing of graphene based synaptic devices for optoelectronic applications
International Journal of Extreme Manufacturing, 2023 Neuromorphic computing systems can perform memory and computing tasks in parallel on artificial synaptic devices through simulating synaptic functions, which is promising for breaking the conventional von Neumann bottlenecks at hardware level. Artificial
Kui Zhou +10 more
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Nanowire-based synaptic devices for neuromorphic computing
Materials Futures, 2023 The traditional von Neumann structure computers cannot meet the demands of high-speed big data processing; therefore, neuromorphic computing has received a lot of interest in recent years.
Xue Chen +5 more
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Device Physics, Modeling and Simulation of Organic Electrochemical Transistors
IEEE Journal of the Electron Devices Society, 2023 In this work, we investigate organic electrochemical transistors (OECTs) as a novel artificial electronic device for the realization of synaptic behavior, bioelectronics, and a variety of applications. A numerical method considering the Poisson-Boltzmann
Malte Koch +7 more
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Magnetic skyrmion-based synaptic devices [PDF]
Nanotechnology, 2017 Magnetic skyrmions are promising candidates for next-generation information carriers, owing to their small size, topological stability, and ultralow depinning current density. A wide variety of skyrmionic device concepts and prototypes have been proposed, highlighting their potential applications. Here, we report on a bioinspired skyrmionic device with
Yangqi Huang +4 more
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Light-Emitting Artificial Synapses for Neuromorphic Computing
Research, 2022 As the key connecting points in the neuromorphic computing systems, synaptic devices have been investigated substantially in recent years. Developing optoelectronic synaptic devices with optical outputs is becoming attractive due to many benefits of ...
Chen Zhu +4 more
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Advanced Intelligent Systems, 2022 Flexible artificial synapses, which use flexible electronic devices to simulate biological synapses, are the cornerstone of brain‐like computers and artificial intelligence systems.
Xiangxiang Li +5 more
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Synaptic metaplasticity with multi-level memristive devices
2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2023 Deep learning has made remarkable progress in various tasks, surpassing human performance in some cases. However, one drawback of neural networks is catastrophic forgetting, where a network trained on one task forgets the solution when learning a new one.
D’Agostino, S +7 more
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Novel synaptic memory device for neuromorphic computing [PDF]
Scientific Reports, 2014 This report discusses the electrical characteristics of two-terminal synaptic memory devices capable of demonstrating an analog change in conductance in response to the varying amplitude and pulse-width of the applied signal. The devices are based on Mn doped HfO₂ material.
MANDAL, S +4 more
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A Multilevel Magnetic Synapse Based on Voltage‐Tuneable Magnetism by Nitrogen Ion Migration
Advanced Electronic Materials, 2023 Advanced synaptic devices with simultaneous memory and processor capabilities are envisaged as core elements of neuromorphic computing (NC) for low‐power artificial intelligence.
P. Monalisha +4 more
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