Literature DB >> 26502344

Graphene Dynamic Synapse with Modulatable Plasticity.

He Tian1,2, Wentian Mi1,2, Xue-Feng Wang1,2, Haiming Zhao1,2, Qian-Yi Xie1,2, Cheng Li1,2, Yu-Xing Li1,2, Yi Yang1,2, Tian-Ling Ren1,2.   

Abstract

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. In recent years, the hardware implementation of the biological synapse has been achieved based on CMOS circuits, resistive switching memory, and field effect transistors with ionic dielectrics. However, the artificial synapse with regulatable plasticity has never been realized of the device level. Here, an artificial dynamic synapse based on twisted bilayer graphene is demonstrated with tunable plasticity. Due to the ambipolar conductance of graphene, both behaviors of the excitatory synapse and the inhibitory synapse could be realized in a single device. Moreover, the synaptic plasticity could also be modulated by tuning the carrier density of graphene. Because the artificial synapse here could be regulated and inverted via changing the bottom gate voltage, the whole process of synapse development could be imitated. Hence, this work would offer a broad new vista for the 2D material electronics and guide the innovation of neuro-electronics fundamentally.

Entities:  

Keywords:  artificial dynamic synapse; graphene; modulatable plasticity; nanoelectronics; neuromorphic device; spike-timing dependent plasticity

Mesh:

Substances:

Year:  2015        PMID: 26502344     DOI: 10.1021/acs.nanolett.5b03283

Source DB:  PubMed          Journal:  Nano Lett        ISSN: 1530-6984            Impact factor:   11.189


  8 in total

1.  Rectifying Resistive Memory Devices as Dynamic Complementary Artificial Synapses.

Authors:  Dan Berco
Journal:  Front Neurosci       Date:  2018-10-22       Impact factor: 4.677

2.  Contact-electrification-activated artificial afferents at femtojoule energy.

Authors:  Jinran Yu; Guoyun Gao; Jinrong Huang; Xixi Yang; Jing Han; Huai Zhang; Youhui Chen; Chunlin Zhao; Qijun Sun; Zhong Lin Wang
Journal:  Nat Commun       Date:  2021-03-11       Impact factor: 14.919

3.  Metaplastic and energy-efficient biocompatible graphene artificial synaptic transistors for enhanced accuracy neuromorphic computing.

Authors:  Dmitry Kireev; Samuel Liu; Harrison Jin; T Patrick Xiao; Christopher H Bennett; Deji Akinwande; Jean Anne C Incorvia
Journal:  Nat Commun       Date:  2022-07-28       Impact factor: 17.694

4.  Rectifying optoelectronic memory based on WSe2/graphene heterostructures.

Authors:  Sung Hyun Kim; Myung Uk Park; ChangJun Lee; Sum-Gyun Yi; Myeongjin Kim; Yongsuk Choi; Jeong Ho Cho; Kyung-Hwa Yoo
Journal:  Nanoscale Adv       Date:  2021-07-20

5.  A dual mode electronic synapse based on layered SnSe films fabricated by pulsed laser deposition.

Authors:  Xinxin Chen; Chun-Hung Suen; Hei-Man Yau; Feichi Zhou; Yang Chai; Xiaodan Tang; Xiaoyuan Zhou; Nicolas Onofrio; Ji-Yan Dai
Journal:  Nanoscale Adv       Date:  2020-01-20

Review 6.  Neuromorphic Devices for Bionic Sensing and Perception.

Authors:  Mingyue Zeng; Yongli He; Chenxi Zhang; Qing Wan
Journal:  Front Neurosci       Date:  2021-06-29       Impact factor: 4.677

7.  Oxidation-boosted charge trapping in ultra-sensitive van der Waals materials for artificial synaptic features.

Authors:  Feng-Shou Yang; Mengjiao Li; Mu-Pai Lee; I-Ying Ho; Jiann-Yeu Chen; Haifeng Ling; Yuanzhe Li; Jen-Kuei Chang; Shih-Hsien Yang; Yuan-Ming Chang; Ko-Chun Lee; Yi-Chia Chou; Ching-Hwa Ho; Wenwu Li; Chen-Hsin Lien; Yen-Fu Lin
Journal:  Nat Commun       Date:  2020-06-12       Impact factor: 14.919

8.  ReS2 Charge Trapping Synaptic Device for Face Recognition Application.

Authors:  Ze-Hui Fan; Min Zhang; Lu-Rong Gan; Lin Chen; Hao Zhu; Qing-Qing Sun; David Wei Zhang
Journal:  Nanoscale Res Lett       Date:  2020-01-03       Impact factor: 4.703

  8 in total

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