Associative routing through neuromorphic nanowire networks

被引:30
|
作者
Diaz-Alvarez, A. [1 ]
Higuchi, R. [1 ]
Li, Q. [1 ,2 ]
Shingaya, Y. [1 ]
Nakayama, T. [1 ,2 ,3 ,4 ]
机构
[1] Natl Inst Mat Sci, Int Ctr Mat Nanoarchitecton WPI MANA, 1-1 Namiki, Tsukuba, Ibaraki 3050044, Japan
[2] Univ Tsukuba, Grad Sch Pure & Appl Sci, 1-1 Namiki, Tsukuba, Ibaraki 3058571, Japan
[3] Univ Sydney, Sydney Nano Inst, Sydney, NSW 2006, Australia
[4] Univ Sydney, Sch Phys, Sydney, NSW 2006, Australia
基金
日本学术振兴会;
关键词
MECHANISM;
D O I
10.1063/1.5140579
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
Resistance in neuromorphic nanowire networks can be decreased when activated by voltage as multiple pathways of low resistance interconnected nanowires form, increasing nanowire to nanowire connectivity. We show that high connectivity regions are retained for a few minutes after the energy source is switched off. We have used this property to devise an associative device. With a multielectrode array, we send current through the network to connect together areas that are spatially associated with a given electrode combination forming a pattern. We correctly retrieve the stored patterns by passing a small current through the network at a later time even when we input a faulty or incomplete pattern as the network groups stored patterns into cluster of high associativity, in analogy with semantic memory association in the human brain. (c) 2020 Author(s). All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
引用
收藏
页数:5
相关论文
共 50 条
  • [1] Speech recognition through physical reservoir computing with neuromorphic nanowire networks
    Milano, Gianluca
    Agliuzza, Matteo
    De Leo, Natascia
    Ricciardi, Carlo
    2022 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2022,
  • [2] Topological Properties of Neuromorphic Nanowire Networks
    Loeffler, Alon
    Zhu, Ruomin
    Hochstetter, Joel
    Li, Mike
    Fu, Kaiwei
    Diaz-Alvarez, Adrian
    Nakayama, Tomonobu
    Shine, James M.
    Kuncic, Zdenka
    FRONTIERS IN NEUROSCIENCE, 2020, 14
  • [3] Information dynamics in neuromorphic nanowire networks
    Zhu, Ruomin
    Hochstetter, Joel
    Loeffler, Alon
    Diaz-Alvarez, Adrian
    Nakayama, Tomonobu
    Lizier, Joseph T.
    Kuncic, Zdenka
    SCIENTIFIC REPORTS, 2021, 11 (01)
  • [4] Information dynamics in neuromorphic nanowire networks
    Ruomin Zhu
    Joel Hochstetter
    Alon Loeffler
    Adrian Diaz-Alvarez
    Tomonobu Nakayama
    Joseph T. Lizier
    Zdenka Kuncic
    Scientific Reports, 11
  • [5] Neuromorphic Information Processing with Nanowire Networks
    Kuncic, Zdenka
    Kavehei, Omid
    Zhu, Ruomin
    Loeffler, Alon
    Fu, Kaiwei
    Hochstetter, Joel
    Li, Mike
    Shine, James M.
    Diaz-Alvarez, Adrian
    Stieg, Adam
    Gimzewski, James
    Nakayama, Tomonobu
    2020 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS), 2020,
  • [6] Emergent dynamics of neuromorphic nanowire networks
    Diaz-Alvarez, Adrian
    Higuchi, Rintaro
    Sanz-Leon, Paula
    Marcus, Ido
    Shingaya, Yoshitaka
    Stieg, Adam Z.
    Gimzewski, James K.
    Kuncic, Zdenka
    Nakayama, Tomonobu
    SCIENTIFIC REPORTS, 2019, 9 (1)
  • [7] Emergent dynamics of neuromorphic nanowire networks
    Adrian Diaz-Alvarez
    Rintaro Higuchi
    Paula Sanz-Leon
    Ido Marcus
    Yoshitaka Shingaya
    Adam Z. Stieg
    James K. Gimzewski
    Zdenka Kuncic
    Tomonobu Nakayama
    Scientific Reports, 9
  • [8] Associative Enhancement of Time Correlated Response to Heterogeneous Stimuli in a Neuromorphic Nanowire Device
    O'Kelly, Curtis J.
    Fairfield, Jessamyn A.
    McCloskey, David
    Manning, Hugh G.
    Donegan, John F.
    Boland, John J.
    ADVANCED ELECTRONIC MATERIALS, 2016, 2 (06):
  • [9] Associative routing for wireless sensor networks
    Eltarras, Ramy
    Eltoweissy, Mohamed
    COMPUTER COMMUNICATIONS, 2011, 34 (18) : 2162 - 2173
  • [10] Neuromorphic learning, working memory, and metaplasticity in nanowire networks
    Loeffler, Alon
    Diaz-Alvarez, Adrian
    Zhu, Ruomin
    Ganesh, Natesh
    Shine, James M.
    Nakayama, Tomonobu
    Kuncic, Zdenka
    SCIENCE ADVANCES, 2023, 9 (16)