Results 301 to 310 of about 1,900,337 (342)

New-Style Logic Operation and Neuromorphic Computing Enabled by Optoelectronic Artificial Synapses in an MXene/Y:HfO2 Ferroelectric Memristor.

ACS Applied Materials and Interfaces
Today's computing systems, to meet the enormous demands of information processing, have driven the development of brain-inspired neuromorphic systems. However, there are relatively few optoelectronic devices in most brain-inspired neuromorphic systems ...
Junlin Fang, Zhenhua Tang, Xi-Cai Lai, Fan Qiu, Yan-Ping Jiang, Qiuxiang Liu, Xin-Gui Tang, Qi‐Jun Sun, Yichun Zhou, Jing Fan, Ju Gao   +10 more
semanticscholar   +1 more source

Stimuli‐Responsive Memristive Materials for Artificial Synapses and Neuromorphic Computing

Advances in Materials, 2021
Neuromorphic computing holds promise for building next‐generation intelligent systems in a more energy‐efficient way than the conventional von Neumann computing architecture.
Hongyu Bian, Y. Goh, Yuxia Liu, Haifeng Ling, Linghai Xie, Xiaogang Liu   +5 more
semanticscholar   +1 more source

Ferroelectricity-Defects Synergistic Artificial Synapses for High Recognition Accuracy Neuromorphic Computing.

ACS Applied Materials and Interfaces
The ability of ferroelectric memristors to modulate conductance and offer multilevel storage has garnered significant attention in the realm of artificial synapses.
Shijie Dong, Hao Liu, Yan Wang, Jing Bian, Jie Su   +4 more
semanticscholar   +1 more source

An Oxide Schottky Junction Artificial Optoelectronic Synapse

ACS Nano, 2019
The rapid development of artificial intelligence techniques and future advanced robot systems sparks emergent demand on the accurate perception and understanding of the external environments via visual sensing systems that can co-locate the self-adaptive detecting, processing, and memorizing of optical signals. In this contribution, a simple indium-tin
Shuang Gao, Gang Liu, Huali Yang, Chao Hu, Qilai Chen, Guodong Gong, Wuhong Xue, Xiaohui Yi, Jie Shang, Run-Wei Li   +9 more
openaire   +2 more sources

Organic iontronic memristors for artificial synapses and bionic neuromorphic computing.

Nanoscale
To tackle the current crisis of Moore's law, a sophisticated strategy entails the development of multistable memristors, bionic artificial synapses, logic circuits and brain-inspired neuromorphic computing.
Yang Xia, Cheng Zhang, Zheng Xu, Shuanglong Lu, Xinli Cheng, Shice Wei, Junwei Yuan, Yanqiu Sun, Yang Li   +8 more
semanticscholar   +1 more source

Non‐linear Processing in Artificial Synapses

Kybernetes, 1992
Analyses the possibility of allowing non‐linear synaptic processing in Artificial Neural Networks (ANN) both theoretically and practically. The simple computer simulations described strongly suggest that this is a viable alternative, and preferable to ANN with just linear synapses, because of the savings in hardware (fewer components are needed) and ...
openaire   +2 more sources

Organic Electrochemical Transistors with Microporous Structures via Phase‐Separation for Enhancing Long‐Term Plasticity in Artificial Synapses

Advanced Materials & Technologies
Artificial synapses, inspired by the intricate design of biological synapses, utilize electrical, chemical, and mechanical signals to transmit and retain information.
Hui Yang, Woojo Kim, Hocheon Yoo, Eun Kwang Lee   +3 more
semanticscholar   +1 more source

Emerging memory devices for artificial synapses

Journal of Materials Chemistry C, 2020
This paper reviews recent developments in artificial synapses that exploit various emerging memory devices. The emulation of synaptic plasticity and operation mechanism of artificial synapses using various materials and structures are presented.
Youngjun Park, Min-Kyu Kim, Jang-Sik Lee
openaire   +1 more source

Neuromorphic Transistors Integrating Photo‐Sensor, Optical Memory and Visual Synapses for Artificial Vision Application

Advances in Materials
In commercial artificial vision system (AVS), the sensing, storage, and computing units are usually physically separated due to their architecture and performance gaps, which thus increases the volume, complexity, and energy loss.
Tu Zhao, Wenbo Yue, Qunrui Deng, Wenjie Chen, Chengming Luo, Yao Zhou, Meng Sun, Xueming Li, Yujue Yang, Nengjie Huo   +9 more
semanticscholar   +1 more source

Lithium Ion Alloying-Type Artificial Synapses

ACS Applied Electronic Materials, 2019
This paper proposes an artificial synapse (AS) based on the alloying-type behavior of lithium ions (Li+) to govern ion migration and thereby adjust synaptic weights in artificial synaptic devices.
Huanhuan Wei, Haiyang Yu, Jiangdong Gong, Jie Zhang, Hong Han, Mingxue Ma, Yao Ni, Yi Du, Shuo Zhang, Lu Liu, Wentao Xu   +10 more
openaire   +1 more source