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Intrinsic Control Mechanisms of Neuronal Network Dynamics

  • Josef LadenbauerEmail author
  • Moritz Augustin
  • Klaus Obermayer
Chapter
Part of the Understanding Complex Systems book series (UCS)

Abstract

The brain is a complex dynamical system which employs specific mechanisms in a self-organized way to stabilize functionally relevant patterns of activity and switch between them, depending on computational demands. We first provide an overview of control mechanisms that involve delayed feedback of activity, plasticity of synaptic coupling strengths and changes of neuronal adaptation properties, and then focus on the latter, summarizing recent results for different spatial levels, obtained through mathematical bottom-up modeling.

Keywords

Adaptation Current Spike Activity Membrane Voltage Spike Rate Neuronal Pair 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

This work was supported by the Deutsche Forschungsgemeinschaft in the framework of Collaborative Research Center 910.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Josef Ladenbauer
    • 1
    • 2
    Email author
  • Moritz Augustin
    • 1
    • 2
  • Klaus Obermayer
    • 1
    • 2
  1. 1.Department of Software Engineering and Theoretical Computer ScienceTechnische Universität BerlinBerlinGermany
  2. 2.Bernstein Center for Computational Neuroscience BerlinBerlinGermany

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