Results 191 to 200 of about 35,463 (245)
Janus Synapses as Modular Neurointerfaces. [PDF]
Cho W, Jung M, Chung TD.
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Brain‐Inspired Neuromorphic Device for Artificial Intelligent Robots Applications
Brain‐inspired neuromorphic devices mimic biological systems to provide an efficient hardware foundation for embodied intelligent robotics. This review explores the material systems and corresponding computing architectures of neuromorphic devices that support low‐power perception, adaptive learning, and real‐time decision‐making.
Jiachen Han +3 more
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Dedicated and Reconfigurable Artificial Neurons and Synapses based on Two-Dimensional Materials for Efficient Neuromorphic Application. [PDF]
Chen D +12 more
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MXene‐Based Flexible Memory and Neuromorphic Devices
The unique two‐dimensional structure, excellent electrical conductivity, and diverse surface groups of MXenes have garnered significant attention. Coupled with their exceptional flexibility, MXene‐based devices hold immense potential for flexible memory and neuromorphic systems. This review comprehensively discusses the fundamentals of flexible devices,
Yan Li +13 more
wiley +1 more source
Advances in Gel-Based Electrolyte-Gated Flexible Visual Synapses for Neuromorphic Vision Systems. [PDF]
Duan W +6 more
europepmc +1 more source
Comprehensive protein synthesis inhibition impairs natural and artificial memory recall. [PDF]
Kim Y, Hong I, Kaang BK.
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2D Materials Powering Neuromorphic Intelligence. [PDF]
Kazmi J +9 more
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Memristor Synapse-A Device-Level Critical Review. [PDF]
Chandrasekaran S +2 more
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Advanced Quantum Technologies, 2021
Abstract Neuromorphic in‐memory computing systems, comprising artificial synapses and neurons, can overcome the energy inefficiency and throughput limitation of today's von Neumann computing architecture. Recently, powered by the unique properties of quantum materials, for example, high mobility, outstanding sensitivity, and strong ...
Chuntai Liu, You Meng, Johnny C Ho
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Abstract Neuromorphic in‐memory computing systems, comprising artificial synapses and neurons, can overcome the energy inefficiency and throughput limitation of today's von Neumann computing architecture. Recently, powered by the unique properties of quantum materials, for example, high mobility, outstanding sensitivity, and strong ...
Chuntai Liu, You Meng, Johnny C Ho
exaly +2 more sources
Solution-processed electronics for artificial synapses
Materials Horizons, 2021Solution-processed artificial synapses are expected to develop the synaptic electronics towards flexible and highly integrated three-dimensional neural networks to break through the von Neumann computing architecture in the post-Moore era.
Kuakua Lu +7 more
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