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Articles, Systems/Circuits

A Unified Dynamic Model for Learning, Replay, and Sharp-Wave/Ripples

Sven Jahnke, Marc Timme and Raoul-Martin Memmesheimer
Journal of Neuroscience 9 December 2015, 35 (49) 16236-16258; DOI: https://doi.org/10.1523/JNEUROSCI.3977-14.2015
Sven Jahnke
1Network Dynamics, Max Planck Institute for Dynamics and Self-Organization, 37077 Göttingen, Germany,
2Bernstein Center for Computational Neuroscience, 37077 Göttingen, Germany,
3Institute for Nonlinear Dynamics, Georg August University, 37077 Göttingen, Germany,
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Marc Timme
1Network Dynamics, Max Planck Institute for Dynamics and Self-Organization, 37077 Göttingen, Germany,
2Bernstein Center for Computational Neuroscience, 37077 Göttingen, Germany,
3Institute for Nonlinear Dynamics, Georg August University, 37077 Göttingen, Germany,
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Raoul-Martin Memmesheimer
4Center for Theoretical Neuroscience, Columbia University, New York, New York 10032-2695, and
5Donders Institute for Brain, Cognition, and Behavior, Radboud University, 6500 Nijmegen, The Netherlands
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Article Information

DOI 
https://doi.org/10.1523/JNEUROSCI.3977-14.2015
PubMed 
26658873
Published By 
Society for Neuroscience
History 
  • Received September 25, 2014
  • Revision received September 4, 2015
  • Accepted October 4, 2015
  • First published December 9, 2015.
  • Version of record published December 9, 2015.
Copyright & Usage 
Copyright © 2015 the authors 0270-6474/15/3516236-23$15.00/0

Author Information

  1. Sven Jahnke1,2,3,
  2. Marc Timme1,2,3, and
  3. Raoul-Martin Memmesheimer4,5
  1. 1Network Dynamics, Max Planck Institute for Dynamics and Self-Organization, 37077 Göttingen, Germany,
  2. 2Bernstein Center for Computational Neuroscience, 37077 Göttingen, Germany,
  3. 3Institute for Nonlinear Dynamics, Georg August University, 37077 Göttingen, Germany,
  4. 4Center for Theoretical Neuroscience, Columbia University, New York, New York 10032-2695, and
  5. 5Donders Institute for Brain, Cognition, and Behavior, Radboud University, 6500 Nijmegen, The Netherlands
View Full Text

Author contributions

  1. Author contributions: S.J., M.T., and R.-M.M. designed research; S.J., M.T., and R.-M.M. performed research; S.J. and R.-M.M. analyzed data; S.J., M.T., and R.-M.M. wrote the paper.

Disclosures

    • Received September 25, 2014.
    • Revision received September 4, 2015.
    • Accepted October 4, 2015.
  • This work was supported by the German Federal Ministry of Education and Research BMBF (Grant 01GQ1005B), by the Deutsche Forschungsgemeinschaft (Grant TI 629/3-1), by the German Federal Ministry of Education and Research BMBF through the Bernstein Network for Computational Neuroscience (Bernstein Award), and by the Max Kade Society New York. All simulation results were obtained using the simulation software NEST (Gewaltig and Diesmann, 2007). We thank Francesco Battaglia, Harold Gutch, and Paul Tiesinga for stimulating discussions.

  • The authors declare no competing financial interests.

  • Correspondence should be addressed to Raoul-Martin Memmesheimer, Center for Theoretical Neuroscience, Columbia University, Kolb Research Annex, 1051 Riverside Drive, New York, NY 10032-2695. rm3354{at}cumc.columbia.edu

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The Journal of Neuroscience: 35 (49)
Journal of Neuroscience
Vol. 35, Issue 49
9 Dec 2015
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A Unified Dynamic Model for Learning, Replay, and Sharp-Wave/Ripples
Sven Jahnke, Marc Timme, Raoul-Martin Memmesheimer
Journal of Neuroscience 9 December 2015, 35 (49) 16236-16258; DOI: 10.1523/JNEUROSCI.3977-14.2015

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A Unified Dynamic Model for Learning, Replay, and Sharp-Wave/Ripples
Sven Jahnke, Marc Timme, Raoul-Martin Memmesheimer
Journal of Neuroscience 9 December 2015, 35 (49) 16236-16258; DOI: 10.1523/JNEUROSCI.3977-14.2015
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Keywords

  • dendritic spikes
  • learning
  • memory
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