# Emergent dynamics of neuromorphic nanowire networks

https://mdr.nims.go.jp/datasets/d54a1b41-30ab-4b6f-8f9d-2caccd1f5467

## File

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- [2019_Adrian_ScientificReports_s41598-019-51330-6.pdf](https://mdr.nims.go.jp/filesets/e8a9a3ca-e79c-4a28-bc57-27fb52dd02d6/download) ([Detail](https://mdr.nims.go.jp/filesets/e8a9a3ca-e79c-4a28-bc57-27fb52dd02d6.md))

## Id

d54a1b41-30ab-4b6f-8f9d-2caccd1f5467

## Local identifier

identifier: mdr-schema-yaml/1n79h709t

## Visibility

open_to_public

## State

published

## Created at

2021-10-13T13:29:41.180275Z

## Updated at

2024-01-05T13:13:33.062766Z

## Published at

2021-11-16T10:30:53.566473Z

## Doi



## First published url

https://doi.org/10.1038/s41598-019-51330-6

## Date published

2019-10-17

## Recorded date published



## Resource type

journal_article

## Manuscript type

na

## Collection



## Title

- title: Emergent dynamics of neuromorphic nanowire networks
  title_type: original
  lang: en

## Description

- description: Neuromorphic networks are formed by random self-assembly of silver
    nanowires. Silver nanowires are coated with a polymer layer after synthesis in
    which junctions between two nanowires act as resistive switches, often compared
    with neurosynapses. We analyze the role of single junction switching in the dynamical
    properties of the neuromorphic network. Network transitions to a high-conductance
    state under the application of a voltage bias higher than a threshold value. The
    stability and permanence of this state is studied by shifting the voltage bias
    in order to activate or deactivate the network. A model of the electrical network
    with atomic switches reproduces the relation between individual nanowire junctions
    switching events with current pathway formation or destruction. This relation
    is further manifested in changes in 1/f power-law scaling of the spectral distribution
    of current. The current fluctuations involved in this scaling shift are considered
    to arise from an essential equilibrium between formation, stochastic-mediated
    breakdown of individual nanowire-nanowire junctions and the onset of different
    current pathways that optimize power dissipation. This emergent dynamics shown
    by polymer-coated Ag nanowire networks places this system in the class of optimal
    transport networks, from which new fundamental parallels with neural dynamics
    and natural computing problem-solving can be drawn.
  description_type: abstract
  lang: en

## Creator

- name: Marcus, Ido
  role: author
- name: Gimzewski, James K.
  role: author
- name: Stieg, Adam Z.
  role: author
- name: Higuchi, Rintaro
  role: author
  orcid: https://orcid.org/0000-0003-0859-0079
- name: Shingaya, Yoshitaka
  role: author
  orcid: https://orcid.org/0000-0002-5926-3302
- name: Kuncic, Zdenka
  role: author
- name: Diaz-Alvarez, Adrian
  role: author
  orcid: https://orcid.org/0000-0003-4638-8488
- name: Nakayama, Tomonobu
  role: author
  orcid: https://orcid.org/0000-0001-9696-475X
- name: Sanz-Leon, Paula
  role: author

## Contact agent



## Publisher

organization: Springer Nature

## Managing organization



## Keyword

- subject: Nanowire
  schema: not_defined
- subject: Memory
  schema: not_defined
- subject: Neuromorphic computing
  schema: not_defined
- subject: Neuromorphic network
  schema: not_defined
- subject: Topology
  schema: not_defined
- subject: Emergent dynamics
  schema: not_defined
- subject: Silver nanowire
  schema: not_defined

## Rights

- description: Creative Commons BY Attribution 4.0 International
  identifier: https://creativecommons.org/licenses/by/4.0/

## Other identifier(s)



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## Measurement method



## Specimen



## Chemical composition



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## Fileset

- id: 1d8cae3d-d20f-4d4d-9fdf-6445e7f1e859
  filename: 2019_Adrian_ScientificReports_SI_41598_2019_51330_MOESM1_ESM.pdf
  content_type: application/pdf
  size: 1136879
  md5: 2ee5f0d818db12ed62b242b2b8a36ff9
- id: e8a9a3ca-e79c-4a28-bc57-27fb52dd02d6
  filename: 2019_Adrian_ScientificReports_s41598-019-51330-6.pdf
  content_type: application/pdf
  size: 4310288
  md5: 9f20c08cfaea37008b6f1afed9faf4fe

## Thumbnail

fileset_id: e8a9a3ca-e79c-4a28-bc57-27fb52dd02d6
filename: 2019_Adrian_ScientificReports_s41598-019-51330-6.pdf