Results 11 to 20 of about 85,567 (206)
Impact of Synaptic Device Variations on Classification Accuracy in a Binarized Neural Network [PDF]
Scientific Reports, 2019 Brain-inspired neuromorphic systems (hardware neural networks) are expected to be an energy-efficient computing architecture for solving cognitive tasks, which critically depend on the development of reliable synaptic weight storage (i.e., synaptic ...
Sungho Kim, Hee-Dong Kim, Sung-Jin Choi
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Recent Progress in Organic Optoelectronic Synaptic Devices [PDF]
PhotonicsOrganic semiconductors hold immense promise in the field of optoelectronic synapses due to their tunable optoelectronic properties, mechanical flexibility, and biocompatibility. This review article provides a comprehensive overview of recent advancements in organic optoelectronic synaptic devices.
Min He, Xin Tang
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Oxide-based memristive neuromorphic synaptic devices
Acta Physica Sinica, 2019 Memristors are considered to be the potential candidate for simulating synapses due to their high density, low power consumption and continuously adjustable resistance. Metal oxide is an ideal choice for fabricating memristive devices with high performance due to its advantages of oxygen migration, easy adjustment of components and compatibility with ...
Yichun Liu +3 more
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Self-Rectifying Resistive Switching and Short-Term Memory Characteristics in Pt/HfO2/TaOx/TiN Artificial Synaptic Device. [PDF]
Nanomaterials (Basel), 2020 Ryu H, Kim S.
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Charge-trap synaptic device with polycrystalline silicon channel for low power in-memory computing. [PDF]
Sci RepPark MK +7 more
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iScience, 2022 Summary: Two-dimensional van der Waals materials offer various possibilities for synaptic devices, matching the requirements of intelligent and energy-efficient computation.
Xiong Xiong +4 more
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Crystals, 2021 A synaptic device that contains weight information between two neurons is one of the essential components in a neuromorphic system, which needs highly linear and symmetric characteristics of weight update.
Minkyung Kim +10 more
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Advanced Electronic Materials, 2023 Artificial optoelectronic synapses with flexibly regulated synaptic weight are crucial to the rapidly evolved artificial visual system. Although three‐terminal devices with transistor geometry have exhibited controllable synaptic response through ...
Xun Han +11 more
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Low-Consumption Synaptic Devices Based on Gate-All-Around InAs Nanowire Field-Effect Transistors
Nanoscale Research Letters, 2022 In this work, an artificial electronic synaptic device based on gate-all-around InAs nanowire field-effect transistor is proposed and analyzed. The deposited oxide layer (In2O3) on the InAs nanowire surface serves as a charge trapping layer for ...
Chaofei Zha +4 more
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Recent progress on optoelectronic synaptic devices [PDF]
SCIENTIA SINICA Informationis, 2020 Neuromorphic (brain-like) computing has great potential to solve the von Neumann bottleneck due to its self-adaptive learning, high-parallel computing capability, and low-power consumption. Realization of neuromorphic computing depends on the development of synaptic devices that mimic biological synapses.
Xiaodong PI +3 more
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