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Controllable Multiple Depression in a Graphene Oxide Artificial Synapse
Author(s) -
Wang Laiyuan,
Wang Zhiyong,
Zhao Wei,
Hu Bo,
Xie Linghai,
Yi Mingdong,
Ling Haifeng,
Zhang Chenxi,
Chen Yan,
Lin Jinyi,
Zhu Jialu,
Huang Wei
Publication year - 2017
Publication title -
advanced electronic materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.25
H-Index - 56
ISSN - 2199-160X
DOI - 10.1002/aelm.201600244
Subject(s) - graphene , oxide , synapse , materials science , nanotechnology , polarization (electrochemistry) , computer science , service (business) , artificial intelligence , neuroscience , psychology , business , chemistry , marketing , metallurgy
A versatile artificial synapse based on graphene oxide is presented. Its simple planer structure has potential in constructing laterally coupled ultradense network without intentional connections. Based on the controllable polarization, the advanced neuroplasticity of activity (amplitude, frequency, and relaxation)‐dependent depression is implemented. Not only this, it is demonstrated that the different types of activities have synergistic effects on promoting pattern transformation.