Synchrony and precise timing in complex neural networks

Research output: Contribution to book/conference proceedings/anthology/reportChapter in book/anthology/reportContributedpeer-review

Contributors

  • Raoul Martin Memmesheimer - , Max Planck Institute for Dynamics and Self-Organization, University of Göttingen, Harvard University (Author)
  • Marc Timme - , Max Planck Institute for Dynamics and Self-Organization, University of Göttingen (Author)

Abstract

The following sections are included: Precise Timing in the Brain? Feed-Forward Mechanisms: Synfire Chains Recurrent Neural Networks An analytically accessible class of models Related models Basic Collective States of Recurrent Networks Quiescence and synchrony Away from synchrony: first hints towards spike patterns in recurrent networks Asynchrony: Irregular, chaotic, and balanced activity Precise Timing in Recurrent Networks Spike patterns as attractors of recurrent networks Realizing spike patterns in complex networks - An inverse problem Conclusions and Open Questions Acknowledgments References.

Details

Original languageEnglish
Title of host publicationHandbook On Biological Networks
PublisherWorld Scientific Publishing Co. Pte Ltd
Pages279-304
Number of pages26
ISBN (electronic)9789812838803
Publication statusPublished - 1 Jan 2009
Peer-reviewedYes
Externally publishedYes

External IDs

ORCID /0000-0002-5956-3137/work/142242507