# Neuromorphic learning, working memory, and metaplasticity in nanowire networks

https://mdr.nims.go.jp/datasets/3df003da-b82f-46be-898f-6b39b7e0f933

## File

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## Id

3df003da-b82f-46be-898f-6b39b7e0f933

## Local identifier



## Visibility

open_to_public

## State

published

## Created at

2023-04-25T03:35:05.496095Z

## Updated at

2024-01-05T13:11:55.728193Z

## Published at

2023-04-27T07:07:56.744627Z

## Doi



## First published url

https://doi.org/10.1126/sciadv.adg3289

## Date published

2023-04-21

## Recorded date published

2023-4-21

## Resource type

journal_article

## Manuscript type

na

## Collection



## Title

- title: Neuromorphic learning, working memory, and metaplasticity in nanowire networks
  title_type: original
  lang: en

## Description

- description: Nanowire networks (NWNs) mimic the brain’s neurosynaptic connectivity
    and emergent dynamics. Consequently, NWNs may also emulate the synaptic processes
    that enable higher-order cognitive functions such as learning and memory. A quintessential
    cognitive task used to measure human working memory is the n-back task. In this
    study, task variations inspired by the n-back task are implemented in a NWN device,
    and external feedback is applied to emulate brain-like supervised and reinforcement
    learning. NWNs are found to retain information in working memory to at least n
    = 7 steps back, remarkably similar to the originally proposed “seven plus or minus
    two” rule for human subjects. Simulations elucidate how synapse-like NWN junction
    plasticity depends on previous synaptic modifications, analogous to “synaptic
    metaplasticity” in the brain, and how memory is consolidated via strengthening
    and pruning of synaptic conductance pathways.
  description_type: abstract
  lang: eng

## Creator

- name: Alon Loeffler
  role: author
  organization: The University of Sydney
  department: School of Physics
- name: Adrian Diaz-Alvarez
  role: author
  organization: NIMS
  department: International Center for Young Scientists (ICYS)
- name: Ruomin Zhu
  role: author
  organization: The University of Sydney
  department: School of Physics
- name: Natesh Ganesh
  role: author
  organization: National Institute of Standards and Technology (NIMS)
- name: James M. Shine
  role: author
  organization: The University of Sydney
  department: School of Physics
- name: Tomonobu Nakayama
  role: author
  orcid: https://orcid.org/0000-0001-9696-475X
  organization: NIMS
  department: International Center for Materials Nanoarchitectonics (MANA)
- name: Zdenka Kuncic
  role: author
  organization: The University of Sydney
  department: School of Physics

## Contact agent



## Publisher

organization: AAAS

## Managing organization



## Keyword

- subject: Neuromorphic
  schema: not_defined
- subject: Silver nanowire network
  schema: not_defined
- subject: neurosynaptic connectivity
  schema: not_defined
- subject: emergent dynamics
  schema: not_defined
- subject: metaplasticity
  schema: not_defined
- subject: learning
  schema: not_defined
- subject: memory
  schema: not_defined

## Rights

- identifier: https://creativecommons.org/licenses/by/4.0/

## Other identifier(s)



## Data origin

- data_origin_type: other

## Embargo



## Journal

- title: Science Advances
  issn: '23752548'
  volume: '9'
  start_page: 1
  end_page: 14

## Conference



## Related item



## Funding



## Instrument



## Instrument operator



## Instrument managing organization



## Measurement method



## Specimen



## Chemical composition



## Structure for specimen



## Structural feature for specimen



## Specific property for specimen



## Process for specimen treatment



## Computational method



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## Custom property



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