Results 61 to 70 of about 45,642 (188)

Realize low-power artificial photonic synapse based on (Al,Ga)N nanowire/graphene heterojunction for neuromorphic computing

APL Photonics, 2023
The fast development of brain-inspired neuromorphic computing systems has stimulated urgent requirements for artificial synapses with low-power consumption.
Min Zhou, Yukun Zhao, Xiushuo Gu, Qianyi Zhang, Jianya Zhang, Min Jiang, Shulong Lu   +6 more
doaj   +1 more source

Configurable NbOx Memristors as Artificial Synapses or Neurons Achieved by Regulating the Forming Compliance Current for the Spiking Neural Network

Advanced Electronic Materials, 2023
For the first time, a configurable NbOx memristor is achieved that can be configured as an artificial synapse or neuron after fabrication by controlling the forming compliance current (FCC).
Chuan Yu Han, Sheng Li Fang, Yi Lin Cui, Weihua Liu, Shi Quan Fan, Xiao Dong Huang, Xin Li, Xiao Li Wang, Guo He Zhang, Wing Man Tang, P. T. Lai, Jia Liu, Xianjie Wan, Zhou Yu, Li Geng   +14 more
doaj   +1 more source

Artificial synapse emulated by charge tapping-based resistive switching device

, 2019
The traditional Von Neumann architecture‐based computers are considered to be inadequate in the coming artificial intelligence era due to increasing computation complexity and rising power consumption.
Han, Su-Ting, Zhou, Li, Ren, Yi, Yang, Guang-Hu, Zhou, Ye, Zhu, Xin, Zhang, Shi-Rui, Yang, Jia-Qin, Mao, Jing-Yu, Roy, Vellaisamy A.L.   +9 more
core   +1 more source

ARTIFICIAL NEURAL NETWORKS WITH DYNAMIC SYNAPSES: A REVIEW

Mokslas - Lietuvos ateitis, 2023
Artificial neural networks (ANNs) are widely applied to solve real-world problems. Most of the actions we take and the processes around us are time-varying. ANNs with dynamic properties allow processing time-dependent data and solving tasks such as speech and text processing, prediction models, face and emotion recognition, game strategy development ...
openaire   +2 more sources

Ultrasensitive artificial synapse based on conjugated polyelectrolyte

, 2018
Emulating essential synaptic working principles using a single electronic device has been an important research field in recent years. However, achieving sensitivity and energy consumption comparable to biological synapses in these electronic devices is ...
Kim, Sung-Il, Young-Tae Kim, Shin, Eul-Yong, Xu, Wentao, Joon Hak Oh, Thanh Luan Nguyen, Lee, Tae-Woo, Kim, Young-Tae, Jeffrey Lopez, Han Young Woo, Eul-Yong Shin, Christoph Wolf, Oh, Joon Hak, Wentao Xu, Hwang, Hyunsang, Chae, Byeong-Gyu, Byeong-Gyu Chae, Hyunsang Hwang, Lopez, Jeffrey, Yong-Young Noh, Raphael Pfattner, Woo, Han Young, Sung-Il Kim, Chan-Gyung Park, Tae-Woo Lee, Wolf, Christoph, Noh, Yong-Young, Moo Yeol Lee, Park, Chan-Gyung, Nguyen, Thanh Luan, Lee, Moo Yeol, Pfattner, Raphael   +31 more
core   +1 more source

A photoelectrical artificial synapse for novel neuromorphic network

, 2018
The requirement of information acquisition and processing is growing rapidly. However, existing systems either suffering from inadequate processing ability or from architecture limitations being restricted by the data sensing and transmission process. In
Zheng, Lirong,, Yang, Kunlong,, Seoane, Fernando,, Yuan, Sijian,, Zhan, Yiqiang,   +4 more
core   +1 more source

Artificial synapses with photoelectric plasticity and memory behaviors based on charge trapping memristive system

Materials & Design, 2020
Imitation of memory and learning behaviors of nervous system by nanoscale photoelectric devices is highly desirable for building neuromorphic systems or even artificial neural networks.
Zhiliang Chen, Yu Yu, Lufan Jin, Yifan Li, Qingyan Li, Tengteng Li, Yating Zhang, Haitao Dai, Jianquan Yao   +8 more
doaj   +1 more source

Reconfigurable Artificial Synapse Based on Ambipolar Floating Gate Memory

, 2023
Artificial synapse networks capable of massively parallel computing and mimicking biological neural networks can potentially improve the processing efficiency of existing information technologies.
Li Xiang (586649), Zilan Tang, Shengman Li, Chengdong Yao (15412685), Wenqiang Wang (799071), Guangcheng Wu, Jiali Yi (15412688), Anlian Pan, Biyuan Zheng (3596543), Wenqiang Wang, Li Xiang, Shengman Li (6157958), Cheng Zhang (70708), Guangcheng Wu (5145188), Dong Li, Yizhe Wang (2287393), Chenguang Zhu, Jiaxin Wu, Ziwei Li (191878), Chenguang Zhu (5688143), Chengdong Yao, Jiaxin Wu (540397), Mingqiang Huang (2819353), Huawei Liu, Luying Huang, Yizhe Wang, Anlian Pan (1439770), Dong Li (212687), Zilan Tang (14755363), Mingqiang Huang, Cheng Zhang, Biyuan Zheng, Ming Huang, Ziwei Li, Huawei Liu (2585974), Ming Huang (301457), Jiali Yi, Luying Huang (3922343)   +37 more
core   +1 more source

Editorial: Advances in thrombin generation

Frontiers in Cardiovascular Medicine, 2023
Romy de Laat-Kremers, Stéphane Zuily, Bas de Laat, Bas de Laat   +3 more
doaj   +1 more source

A Neuron- and a Synapse Chip for Artificial Neural Networks [PDF]

, 1992
A cascadable, analog, CMOS chip set has been developed for hardware implementations of artificial neural networks (ANN's):I) a neuron chip containing an array of neurons with hyperbolic tangent activation functions and adjustable gains, and II) a synapse
Torsten Lehmann, Lansner, John, Lehmann, Torsten, John A. Lansner   +3 more
core   +1 more source