Results 21 to 30 of about 35,463 (245)

Ultrathin SrTiO3-based oxide memristor with both drift and diffusive dynamics as versatile synaptic emulators for neuromorphic computing

Materials Futures, 2023
Artificial synapses are electronic devices that simulate important functions of biological synapses, and therefore are the basic components of artificial neural morphological networks for brain-like computing.
Fang Nie, Jie Wang, Hong Fang, Shuanger Ma, Feiyang Wu, Wenbo Zhao, Shizhan Wei, Yuling Wang, Le Zhao, Shishen Yan, Chen Ge, Limei Zheng   +11 more
doaj   +1 more source

An artificial synapse based on molecular junctions

Nature Communications, 2023
AbstractShrinking the size of the electronic synapse to molecular length-scale, for example, an artificial synapse directly fabricated by using individual or monolayer molecules, is important for maximizing the integration density, reducing the energy consumption, and enabling functionalities not easily achieved by other synaptic materials.
Yuchun Zhang, Lin Liu, Bin Tu, Bin Cui, Jiahui Guo, Xing Zhao, Jingyu Wang, Yong Yan   +7 more
openaire   +3 more sources

A minireview on 2D materials-enabled optoelectronic artificial synaptic devices

APL Materials, 2022
Two-dimensional (2D) layered materials exhibit many unique properties, such as near-atomic thickness, electrical tunability, optical tunability, and mechanical deformability, which are characteristically distinct from conventional materials.
Changhyeon Yoo, Tae-Jun Ko, Md Golam Kaium, Ricardo Martinez, Molla Manjurul Islam, Hao Li, Jung Han Kim, Justin Cao, Marconi Acharya, Tania Roy, Yeonwoong Jung   +10 more
doaj   +1 more source

Universal and Convenient Optimization Strategies for Three-Terminal Memristors

IEEE Access, 2018
Neuromorphic computing, i.e., brainlike computing, has attracted a great deal of attention because of its exceptional performance. For the hardware implementation of neuromorphic systems, the desired key building blocks, artificial synapses, have been ...
Kunlong Yang, Yuxiang Huan, Jiawei Xu, Zhuo Zou, Yiqiang Zhan, Lirong Zheng, Fernando Seoane   +6 more
doaj   +1 more source

Bioinspired activation of silent synapses in layered materials for extensible neuromorphic computing

Journal of Materiomics, 2023
Activation of silent synapses is of great significance for the extension of neural plasticity related to learning and memory. Inspired by the activation of silent synapses via receptor insertion in neural synapses, we propose an efficient method for ...
Yan Kang, Yabo Chen, Yinlong Tan, Hao Hao, Cheng Li, Xiangnan Xie, Weihong Hua, Tian Jiang   +7 more
doaj   +1 more source

A simple MOSFET model of an artificial synapse [PDF]

2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541), 2005
A simple analog-signal synapse model is developed and later implemented on a standard 0.35 /spl mu/m CMOS process to provide for large scale of integration, high processing speed and manufacturability of a multi-layer artificial neural network. Synapse nonlinearity with respect to synapse weight is studied. Demonstrated is the capability of the circuit
openaire   +1 more source

A VO₂ Neuristor Based on Microstrip Line Coupling

Micromachines, 2023
The neuromorphic network based on artificial neurons and synapses can solve computational difficulties, and its energy efficiency is incomparable to the traditional von Neumann architecture.
Haidan Lin, Yiran Shen
doaj   +1 more source

Graphene-Based Artificial Synapses with Tunable Plasticity

ACM Journal on Emerging Technologies in Computing Systems, 2021
Design and implementation of artificial neuromorphic systems able to provide brain akin computation and/or bio-compatible interfacing ability are crucial for understanding the human brain’s complex functionality and unleashing brain-inspired computation’s full potential.
He Wang 0013, Nicoleta Cucu Laurenciu, Yande Jiang, Sorin Cotofana   +3 more
openaire   +4 more sources

Intermediate Resistive State in Wafer‐Scale Vertical MoS2 Memristors Through Lateral Silver Filament Growth for Artificial Synapse Applications

Advanced Functional Materials, EarlyView.
In MOCVD MoS2 memristors, a current compliance‐regulated Ag filament mechanism is revealed. The filament ruptures spontaneously during volatile switching, while subsequent growth proceeds vertically through the MoS2 layers and then laterally along the van der Waals gaps during nonvolatile switching.
Yuan Fa, Milan Buttberg, Ke Ran, Rana Walied Ahmad, Dennis Braun, Lukas Völkel, Jimin Lee, Sofía Cruces, Bart Macco, Bárbara Canto, Holger Lerch, Thorsten Wahlbrink, Holger Kalisch, Michael Heuken, Andrei Vescan, Joachim Mayer, Zhenxing Wang, Ilia Valov, Stephan Menzel, Max C. Lemme   +19 more
wiley   +1 more source

Application of artificial neural synapses in soft robots

AIP Advances
Artificial neural network is considered to be one of the effective ways to enable soft robots to achieve high-performance control due to their significant advantages, such as massively parallel processing and distributed storage of information ...
Xuanting Ding
doaj   +1 more source