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Research ArticleResearch Article: New Research, Cognition and Behavior

Noise in Neurons and Synapses Enables Reliable Associative Memory Storage in Local Cortical Circuits

Chi Zhang, Danke Zhang and Armen Stepanyants
eNeuro 6 January 2021, 8 (1) ENEURO.0302-20.2020; https://doi.org/10.1523/ENEURO.0302-20.2020
Chi Zhang
1Department of Physics and Center for Interdisciplinary Research on Complex Systems, Northeastern University, Boston, MA 02115
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Danke Zhang
1Department of Physics and Center for Interdisciplinary Research on Complex Systems, Northeastern University, Boston, MA 02115
2CAS Key Laboratory of Brain Connectome and Manipulation, Interdisciplinary Center for Brain Information, The Brain Cognition and Brain Disease Institute, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen, Guangdong China
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Armen Stepanyants
1Department of Physics and Center for Interdisciplinary Research on Complex Systems, Northeastern University, Boston, MA 02115
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Article Information

DOI 
https://doi.org/10.1523/ENEURO.0302-20.2020
PubMed 
33408153
Published By 
Society for Neuroscience
History 
  • Received July 7, 2020
  • Revision received December 15, 2020
  • Accepted December 16, 2020
  • Published online January 6, 2021.
Copyright & Usage 
Copyright © 2021 Zhang et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license, which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.

Author Information

  1. Chi Zhang1,
  2. Danke Zhang1,2 and
  3. Armen Stepanyants1
  1. 1Department of Physics and Center for Interdisciplinary Research on Complex Systems, Northeastern University, Boston, MA 02115
  2. 2CAS Key Laboratory of Brain Connectome and Manipulation, Interdisciplinary Center for Brain Information, The Brain Cognition and Brain Disease Institute, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen, Guangdong China
  1. Correspondence should be addressed to Armen Stepanyants at a.stepanyants{at}neu.edu.
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Author contributions

  1. Author contributions: A.S. designed research; C.Z., D.Z., and A.S. performed research; C.Z. analyzed data; C.Z., D.Z., and A.S. wrote the paper.

Disclosures

  • The authors declare no competing financial interests.

  • This work was supported by the Air Force Office of Scientific Research Grant FA9550-15–1-0398 and the National Science Foundation Grant IIS-1526642.

Funding

  • DOD | USAF | AFMC | Air Force Office of Scientific Research (AFOSR)

    FA9550-15-1-0398
  • NSF | CISE | Division of Information and Intelligent Systems (IIS)

    IIS-1526642

Other Version

  • You are viewing the most recent version of this article.
  • previous version (January 06, 2021).

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AbstractFullPdf
Jan 20215020154
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Total 2025541045189
Total90156651194
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Noise in Neurons and Synapses Enables Reliable Associative Memory Storage in Local Cortical Circuits
Chi Zhang, Danke Zhang, Armen Stepanyants
eNeuro 6 January 2021, 8 (1) ENEURO.0302-20.2020; DOI: 10.1523/ENEURO.0302-20.2020

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Noise in Neurons and Synapses Enables Reliable Associative Memory Storage in Local Cortical Circuits
Chi Zhang, Danke Zhang, Armen Stepanyants
eNeuro 6 January 2021, 8 (1) ENEURO.0302-20.2020; DOI: 10.1523/ENEURO.0302-20.2020
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Keywords

  • associative learning
  • memory retrieval
  • perceptron
  • replica
  • spiking errors
  • synaptic noise

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