Results 81 to 90 of about 45,642 (188)

Photoelectric synapses based on all-two-dimensional ferroelectric semiconductor heterojunction

Materials Research Express
Photoelectric synapses are attracting intensive attention due to its low power consumption and adaptive learning. However, traditional ferroelectric field effect transistors are not conducive to the integrated application in artificial intelligence ...
Xuanyan Zhao
doaj   +1 more source

Combining a Volatile and Nonvolatile Memristor in Artificial Synapse to Improve Learning in Spiking Neural Networks

, 2016
International audienceWith the end of Moore's law in sight, we need new computing architectures to satisfy the increasing demands of big data processing.
Shahsavari, Mahyar, Falez, Pierre, Boulet, Pierre   +2 more
core   +1 more source

Realizing reliable linearity and forming-free property in conductive bridging random access memory synapse by alloy electrode engineering

Applied Physics Express
The linearity of conductance modulation of the artificial synapse severely restricts the recognition accuracy and the convergence rate in the learning of artificial neural networks.
Ao Chen, Puyi Zhang, Yiwei Zheng, Xiaoxu Yuan, Guokun Ma, Yiheng Rao, Houzhao Wan, Nengfan Liu, Qin Chen, Daohong Yang, Hao Wang   +10 more
doaj   +1 more source

Transferable and Flexible Artificial Memristive Synapse Based on WOx Schottky Junction on Arbitrary Substrates

Advanced Electronic Materials, 2018
The absence of an effective approach to achieve free‐standing inorganic memristors seriously hinders the development of transferable artificial synapses.
Ya Lin, Tao Zeng, Haiyang Xu, Zhongqiang Wang, Xiaoning Zhao, Weizhen Liu, Jiangang Ma, Yichun Liu   +7 more
doaj   +1 more source

An Optoelectronic Memristor Based on Proton‐Involved Photoreduction for Bimodal Sensing, Memory, and Processing

Advanced Intelligent Systems
Advanced devices and systems with integrated sensing, memory, and processing functionalities similar to those of the human nervous system are highly desirable for efficient artificial intelligence applications.
Qiaoling Tian, Xinyu Sui, Xiaoning Zhao, Ya Lin, Zhongqiang Wang, Ye Tao, Haiyang Xu, Yichun Liu   +7 more
doaj   +1 more source

Graphene Dynamic Synapse with Modulatable Plasticity

, 2015
The synaptic activities in the nervous system is the basis of memory and learning behaviors, and the concept of biological synapse has also spurred the development of neuromorphic engineering.
Xue-Feng Wang (488982), He Tian (629481), Qian-Yi Xie (1466614), Yu-Xing Li (1466617), Wentian Mi (1466611), Yi Yang (116183), Haiming Zhao (394757), Cheng Li (6339), Tian-Ling Ren (1466620)   +8 more
core   +1 more source

Artificial neural network with modulation of synaptic coefficients

Vestnik Samarskogo Gosudarstvennogo Tehničeskogo Universiteta. Seriâ: Fiziko-Matematičeskie Nauki, 2013
The model of neural network based on artificial neuron with dynamic synaptic weights was constructed. As main model processes for changing the synaptic weights were chosen: weakening of a synaptic weight in the absence of synapse stimulation, and ...
Maxim N Nazarov
doaj  

Synaptic Plasticity and Metaplasticity of Biological Synapse Realized in a KNbO₃ Memristor for Application to Artificial Synapse

, 2018
Amorphous KNbO3 (KN) films were grown on a TiN/SiO2/Si substrate to synthesize a KN memristor as a potential artificial synapse. The Pt/KN/TiN memristor exhibited typical and reliable bipolar switching behavior with multiple resistance levels.
Tae-Ho Lee (177564), Tae-Wook Kim (548415), Dae-Hyeon Kim (5538107), Jong-Un Woo (5538104), Sahn Nahm (2807542), Hyun-Gyu Hwang (4630429)   +5 more
core   +1 more source

Multifunctional PN optoelectronic synapse and its smart integration towards augmented artificial visual system

npj Flexible Electronics
Mimicking and extending biological sensory memory processing functions and systems—that play significant roles in enhancing interconnections of the human-physical world—are highly preferable for the Internet of Things.
Qinghong Lin, Yangbin Zhu, Xin Hu, Jiayu Sun, Zhen Wang, Kejia You, Xuan Guo, Yue Wang, Deli Li, Liangxu Lin, Yi Zhao, Guangyu Wang, Yang Liu, Fushan Li, Wei Huang   +14 more
doaj   +1 more source

Emulation with Organic Memristive Devices of Impairment of LTP Mechanism in Neurodegenerative Disease Pathology

Neural Plasticity, 2017
We explore and demonstrate the extension of the synapse-mimicking properties of memristive devices to a dysfunctional synapse as it occurs in the Alzheimer’s disease (AD) pathology.
Silvia Battistoni, Victor Erokhin, Salvatore Iannotta   +2 more
doaj   +1 more source