Results 261 to 270 of about 1,500,046 (301)

Synaptic Depression as a Timing Device

Physiology, 2005
A depressing synapse transforms a time interval into a voltage amplitude. The effect of that transformation on the output of the neuron and network depends on the kinetics of synaptic depression and properties of the postsynaptic neuron and network.
Lucinda A, Grande, William J, Spain
openaire   +2 more sources

Synaptic electronics: materials, devices and applications

Nanotechnology, 2013
In this paper, the recent progress of synaptic electronics is reviewed. The basics of biological synaptic plasticity and learning are described. The material properties and electrical switching characteristics of a variety of synaptic devices are discussed, with a focus on the use of synaptic devices for neuromorphic or brain-inspired computing ...
Duygu, Kuzum, Shimeng, Yu, H-S Philip, Wong   +2 more
openaire   +2 more sources

Synaptic Metaplasticity Realized in Oxide Memristive Devices

Advanced Materials, 2015
Metaplasticity, a higher order of synaptic plasticity, as well as a key issue in neuroscience, is realized with artificial synapses based on a WO3 thin film, and the activity-dependent metaplastic responses of the artificial synapses, such as spike-timing-dependent plasticity, are systematically investigated.
Zheng-Hua, Tan, Rui, Yang, Kazuya, Terabe, Xue-Bing, Yin, Xiao-Dong, Zhang, Xin, Guo   +5 more
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ReRAM-based synaptic device for neuromorphic computing

2014 IEEE International Symposium on Circuits and Systems (ISCAS), 2014
To compete with nonvolatile FLASH memory technology, we need to develop stackable, cross-point ReRAM device. Although various materials have been reported, it is difficult to meet device criteria such as high speed operation, low power switching, switching uniformity, endurance, long-term retention and selection device for cross-point array.
Jun-Woo Jang, Sangsu Park, Yoon-Ha Jeong, Hyunsang Hwang   +3 more
openaire   +1 more source

Filamentary Switching: Synaptic Plasticity through Device Volatility [PDF]

ACS Nano, 2015
Replicating the computational functionalities and performances of the brain remains one of the biggest challenges for the future of information and communication technologies. Such an ambitious goal requires research efforts from the architecture level to the basic device level (i.e., investigating the opportunities offered by emerging nanotechnologies
Dominique Vuillaume, Selina la Barbera
exaly   +5 more sources

Design considerations of synaptic device for neuromorphic computing

2014 IEEE International Symposium on Circuits and Systems (ISCAS), 2014
Hardware implementation of neuromorphic computing is attractive as a computing paradigm beyond the conventional digital Boolean computing. Recently, two-terminal emerging memory devices that show electrically-triggered resistance modulation have been proposed as synaptic devices for neuromorphic computing.
Shimeng Yu, Duygu Kuzum, H.-S. Philip Wong   +2 more
openaire   +1 more source

Zero-power optoelectronic synaptic devices

Nano Energy, 2020
Abstract Synaptic devices for neuromorphic computing have been recently on the fast track of development. One of the most prominent features of synaptic devices is their potentially ultra-low energy consumption. However, relatively large energy has always been consumed to induce the postsynaptic current (PSC) of a synaptic device up to now.
Wen Huang, Pengjie Hang, Yue Wang, Kun Wang, Shihao Han, Zerui Chen, Wenbing Peng, Yiyue Zhu, Mingsheng Xu, Yiqiang Zhang, Yanjun Fang, Xuegong Yu, Deren Yang, Xiaodong Pi   +13 more
openaire   +1 more source

Silicon-based optoelectronic synaptic devices*

Chinese Physics B, 2020
High-performance neuromorphic computing (i.e., brain-like computing) is envisioned to seriously demand optoelectronically integrated artificial neural networks (ANNs) in the future. Optoelectronic synaptic devices are critical building blocks for optoelectronically integrated ANNs.
Lei Yin, Xiaodong Pi, Deren Yang
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Electroluminescent synaptic devices with logic functions

Nano Energy, 2018
Abstract The incorporation of light into synaptic devices for neuromorphic computing with low energy consumption and high intelligence is greatly inspired by the development of optogenetics in neuroscience. However, the use of light as the outputs of synaptic devices has not been demonstrated yet, impeding the full optoelectronic integration of ...
Shuangyi Zhao, Zhenyi Ni, Hua Tan, Yue Wang, Hao Jin, Tongxin Nie, Mingsheng Xu, Xiaodong Pi, Deren Yang   +8 more
openaire   +1 more source

Organic synaptic devices for neuromorphic systems

Journal of Physics D: Applied Physics, 2018
Abstract The development of synaptic devices with biologically-inspired information processing functions and low power consumption is critically important for the hardware implementation of highly anticipated brain-like computing systems.
Jia Sun, Ying Fu, Qing Wan
openaire   +1 more source