Results 231 to 240 of about 84,713 (260)

Robust biodegradable synapse with sub-biological energy and extended memory for intelligent reflexive system. [PDF]

Nat Commun
Chang Y, Na S, Ro YG, Park C, Jung S, Park YJ, Kwak MS, Kim J, Oh H, Kim J, Ko H.   +10 more
europepmc   +1 more source

High-Endurance STO:YSZ Optoelectronic Memristors with Vertically Aligned Nanocomposite Structure for Edge Detection. [PDF]

Adv Sci (Weinh)
Wang J, Xu J, Han X, Sun W, Wang F, Zhao Z, Zhao K, Shang Y, Yang B, Wang H, Liu H, Yan X.   +11 more
europepmc   +1 more source

A Fully Si-Compatible Ni/Si₃N₄/Al₂O₃/<i>p</i> ⁺ Poly-Si RRAM Device for Analog Synapse and Its System-Level Assessment toward Processing-in-Memory Applications. [PDF]

ACS Omega
Lee Y, Kim S, Kim S, Shim W, Kim S, Cho S.   +5 more
europepmc   +1 more source

A Floating-Gate Photoelectric Synaptic Transistor Utilizing BP/PO_x/WSe₂ Heterostructure for Neuromorphic Visual Processing. [PDF]

Adv Sci (Weinh)
Zeng Y, Lv W, Hou Z, Huang W, Yu Z, Han Z, Zhan R, Zeng T, Luo Y, Lin Y, Lv W, Fang B, Zeng Z, Guo L.   +13 more
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Dual‐Modal Optoelectronic Synaptic Devices with Versatile Synaptic Plasticity

Advanced Functional Materials, 2021
AbstractOptoelectronic synaptic devices that mimic biological synapses are critical building blocks of artificial neural networks (ANN) based on optoelectronic integration. Here it is shown that an optoelectronic synaptic device based on the hybrid structure of silicon nanocrystals (Si NCs) and poly(3‐hexylthiophene) (P3HT) can work with dual modes ...
Yue Wang, Yiyue Zhu, Yayao Li, Yiqiang Zhang, Deren Yang, Xiaodong Pi   +5 more
openaire   +1 more source

Optogenetics-Inspired Fluorescent Synaptic Devices with Nonvolatility

ACS Nano, 2023
Given the synergy of optogenetics and bioimaging in neuroscience, it is possible for light to simultaneously modulate and visualize synaptic events of optoelectronic synaptic devices, which are building blocks of a neuromorphic computing system with optoelectronic integration.
Yue Wang, Kun Wang, Xiangyu Hu, Ya’kun Wang, Wandong Gao, Yiqiang Zhang, Zhenghui Liu, Yi Zheng, Ke Xu, Deren Yang, Xiaodong Pi   +10 more
openaire   +2 more sources

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
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

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