Results 231 to 240 of about 80,479 (283)

Organic Transistor-Based Neuromorphic Electronics and Their Recent Applications. [PDF]

Small Methods
Wang Z, Yan F.
europepmc   +1 more source

How multifunctional can a single fiber be? [PDF]

Natl Sci Rev
Wang Z, Wei L.
europepmc   +1 more source

Protein synthesis blockade prevents fear memory reactivation via inhibition of engram synapse strengthening. [PDF]

Proc Natl Acad Sci U S A
Hong I, Kim Y, Jung H, Kim CH, Cho JH, Kaang BK.   +5 more
europepmc   +1 more source

MSA²-Net: Utilizing self-adaptive convolution module to extract multi-scale information in medical image segmentation. [PDF]

Sci Prog
Qin X, Deng C, Li X, Qin Z, Gong Y.
europepmc   +1 more source

Photo-Rewritable Ambipolar Organic Electrochemical Synapses with Bidirectional Optical Plasticity for Adaptive Vision in Aqueous Environments. [PDF]

Adv Mater
Su X, Wu X, Wang H, Lu W, Xue B, Tang J, Li Z, Ren K, He Q, Li J, Yin L, Liu Y, Zhang S, Lei T, Wu C.   +14 more
europepmc   +1 more source

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Quantum Artificial Synapses

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 ...
You Meng, Sen Po Yip, Wei Wang, Chuntai Liu, Johnny C. Ho   +4 more
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Solution-processed electronics for artificial synapses

Materials Horizons, 2021
Solution-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, Xiaomeng Li, Qingqing Sun, Xinchang Pang, Jinzhou Chen, Takeo Minari, Xuying Liu, Yanlin Song   +7 more
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Photothermally Activated Artificial Neuromorphic Synapses

Nano Letters, 2023
Biological nervous systems rely on the coordination of billions of neurons with complex, dynamic connectivity to enable the ability to process information and form memories. In turn, artificial intelligence and neuromorphic computing platforms have sought to mimic biological cognition through software-based neural networks and hardware demonstrations ...
Brian W. Blankenship, Runxuan Li, Ruihan Guo, Naichen Zhao, Jaeho Shin, Rundi Yang, Seung Hwan Ko, Junqiao Wu, Yoonsoo Rho, Costas Grigoropoulos   +9 more
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Artificial synapses based on nanomaterials

Nanotechnology, 2018
Abstract Artificial synapses emulate biological synaptic signals in neuromorphic systems to attain brain-like computation and autonomous learning behaviors in non-von-Neumann systems. Several classes of materials have been applied to this field to achieve numerous functionalities of biological synapses.
Yihang Chen, Haiyang Yu, Jiangdong Gong, Mingxue Ma, Hong Han, Huanhuan Wei, Wentao Xu   +6 more
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