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Research Article

Learning rules and network repair in spike-timing-based computation networks

J. J. Hopfield and Carlos D. Brody
PNAS January 6, 2004 101 (1) 337-342; https://doi.org/10.1073/pnas.2536316100
J. J. Hopfield
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Carlos D. Brody
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  1. Contributed by J. J. Hopfield, October 1, 2003

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Article Information

vol. 101 no. 1 337-342
DOI: 
https://doi.org/10.1073/pnas.2536316100
PubMed: 
14694191

Published By: 
National Academy of Sciences
Print ISSN: 
0027-8424
Online ISSN: 
1091-6490
History: 
  • Published in issue January 6, 2004.
  • Published first December 23, 2003.

Copyright & Usage: 
Copyright © 2004, The National Academy of Sciences

Author Information

  1. J. J. Hopfield†‡§ and
  2. Carlos D. Brodyद
  1. †Department of Molecular Biology, Princeton University, Princeton, NJ 08544-1014; and ¶Cold Spring Harbor Laboratory, P.O. Box 100, Cold Spring Harbor, NY 11724
  1. Contributed by J. J. Hopfield, October 1, 2003

Footnotes

    • ↵§ To whom correspondence may be addressed. E-mail: hopfield{at}princeton.edu or brody{at}cshl.edu.

    • ↵‡ J.J.H. and C.D.B. contributed equally to this work.

    • Abbreviation: STDP, spike-timing-dependent plasticity.

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    Article usage

    Article usage: December 2003 to February 2021

    AbstractFullPdf
    Dec 2003104060
    Total 2003104060
    Jan 2004327160348
    Feb 2004415679
    Mar 2004287176
    Apr 2004326280
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    Total 2004629664850
    Jan 2005103129
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    Jun 2005122537
    Jul 200592018
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    Total 2005102323340
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    Feb 2006224029
    Mar 200662117
    Apr 2006113324
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    Jun 2006112627
    Jul 2006113423
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    Nov 2006272630
    Dec 2006212615
    Total 2006178328293
    Jan 2007201916
    Feb 2007152020
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    Apr 2007212019
    May 2007131110
    Jun 20072895
    Jul 200722717
    Aug 2007151614
    Sep 2007181019
    Oct 200730924
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    Total 2007248160194
    Jan 2008101214
    Feb 2008171714
    Mar 2008201011
    Apr 2008261219
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    Jun 2008351235
    Jul 200832223
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    Jun 2010951
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    Total 201015211688
    Jan 20111748
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    Apr 20111023
    May 2011399
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    Jul 20111039
    Aug 2011757
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    Total 201113275188
    Jan 201216613
    Feb 2012241212
    Mar 2012131013
    Apr 2012253
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    Total 20121239276
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    Mar 20131067
    Apr 20131554
    May 201319117
    Jun 20132692
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    Total 20131858953
    Jan 2014863
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    Mar 201423111
    Apr 201431277
    May 2014853
    Jun 20141883
    Jul 201418116
    Aug 201414136
    Sep 2014771
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    Total 201416812838
    Jan 20152033
    Feb 2015952
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    Apr 201510122
    May 20152386
    Jun 2015944
    Jul 201510710
    Aug 2015634
    Sep 20151954
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    Dec 20157518
    Total 20151396463
    Jan 201618313
    Feb 2016335
    Mar 201671016
    Apr 20161356
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    Jul 20162045
    Aug 201613110
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    Total 20161395099
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    Jan 20181593
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    Jan 20192128
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    Jun 2019040
    Jul 20192137
    Aug 2019075
    Sep 20190117
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    Total 20192118565
    Jan 20201201
    Feb 20200262
    Mar 2020164
    Apr 20201130
    May 20204122
    Jun 2020198
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    Aug 2020185
    Sep 20200105
    Oct 2020283
    Nov 20204122
    Dec 20203132
    Total 20201814642
    Jan 2021156
    Feb 2021458
    Total 202151014
    Total314728422888
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    Learning rules and network repair in spike-timing-based computation networks
    J. J. Hopfield, Carlos D. Brody
    Proceedings of the National Academy of Sciences Jan 2004, 101 (1) 337-342; DOI: 10.1073/pnas.2536316100

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    Learning rules and network repair in spike-timing-based computation networks
    J. J. Hopfield, Carlos D. Brody
    Proceedings of the National Academy of Sciences Jan 2004, 101 (1) 337-342; DOI: 10.1073/pnas.2536316100
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    Proceedings of the National Academy of Sciences: 101 (1)
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    • Article
      • Abstract
      • A Functioning Network for Studying the Repair Problem
      • Deriving the Repair Rule
      • Applying the Repair Rule: Functional Properties of a Network Composed of Fully Replaced Synapses
      • Single-Trial Unsupervised Learning
      • Long-Term Stability
      • Conclusion
      • Acknowledgments
      • Footnotes
      • References
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