Results 231 to 240 of about 466,973 (293)

Recent Advances in Transistor‐Based Artificial Synapses

Advanced Functional Materials, 2019
Simulating biological synapses with electronic devices is a re‐emerging field of research. It is widely recognized as the first step in hardware building brain‐like computers and artificial intelligent systems.
Shilei Dai, Junyao Zhang, Jia Huang
exaly   +2 more sources

Face classification using electronic synapses

Nature Communications, 2017
Conventional hardware platforms consume huge amount of energy for cognitive learning due to the data movement between the processor and the off-chip memory.
Hua-Qiang Wu, Bin Gao, Sukru Burc Eryilmaz   +2 more
exaly   +2 more sources

Memory Aware Synapses: Learning what (not) to forget

European Conference on Computer Vision, 2017
Humans can learn in a continuous manner. Old rarely utilized knowledge can be overwritten by new incoming information while important, frequently used knowledge is prevented from being erased.
Rahaf Aljundi, F. Babiloni, Mohamed Elhoseiny, Marcus Rohrbach, T. Tuytelaars   +4 more
semanticscholar   +1 more source

Skyrmion-based artificial synapses for neuromorphic computing

Nature Electronics, 2019
Magnetic skyrmions are topologically protected spin textures that have nanoscale dimensions and can be manipulated by an electric current. These properties make the structures potential information carriers in data storage, processing and transmission ...
K. Song, Jae-Seung Jeong, Biao Pan, Xichao Zhang, J. Xia, S. Cha, T. Park, Kwangsu Kim, S. Finizio, J. Raabe, Joonyeon Chang, Yan Zhou, Weisheng Zhao, Wang Kang, H. Ju, S. Woo   +15 more
semanticscholar   +1 more source

Homer1a drives homeostatic scaling-down of excitatory synapses during sleep

Science, 2017
Graham H Diering, Richard H Roth, Paul F Worley   +2 more
exaly   +2 more sources

Artificial Synapses Emulated by an Electrolyte‐Gated Tungsten‐Oxide Transistor

Advanced Materials, 2018
Considering that the human brain uses ≈1015 synapses to operate, the development of effective artificial synapses is essential to build brain‐inspired computing systems.
Jing-Ting Yang, Chen Ge, Meng He
exaly   +2 more sources

Optoelectronic Perovskite Synapses for Neuromorphic Computing

Advanced Functional Materials, 2020
Simulating the human brain for neuromorphic computing has attractive prospects in the field of artificial intelligence. Optoelectronic synapses have been considered to be important cornerstones of neuromorphic computing due to their ability to process ...
Fumin Ma, Yangbin Zhu, Zhongwei Xu, Yang Liu, Xiaojing Zheng, Songman Ju, Qianqian Li, Ziquan Ni, Hailong Hu, Y. Chai, Chaoxing Wu, Tae Whan Kim, Fushan Li   +12 more
semanticscholar   +1 more source

Stabilizing synapses

Science, 2021
Adenosine fine-tunes the fate of nascent synapses in brain ...
Blum, David, Lopes, Luísa
openaire   +3 more sources

Synergistic Improvement of Long‐Term Plasticity in Photonic Synapses Using Ferroelectric Polarization in Hafnia‐Based Oxide‐Semiconductor Transistors

Advances in Materials, 2020
A number of synapse devices have been intensively studied for the neuromorphic system which is the next‐generation energy‐efficient computing method. Among these various types of synapse devices, photonic synapse devices recently attracted significant ...
Min-Kyu Kim, Jang‐Sik Lee
semanticscholar   +1 more source

Recent Progress in Three-Terminal Artificial Synapses: From Device to System.

Small, 2019
Synapses are essential to the transmission of nervous signals. Synaptic plasticity allows changes in synaptic strength that make a brain capable of learning from experience.
Hong Han, Haiyang Yu, Huanhuan Wei, Jiangdong Gong, Wentao Xu   +4 more
semanticscholar   +1 more source