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Coexistence of Cell Assemblies and STDP

  • Florian Hauser
  • David Bouchain
  • Günther Palm
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5768)

Abstract

We implement a model of leaky-integrate-and fire neurons with conductance-based synapses. Neurons are structurally coupled in terms of an ideal cell assembly. Synaptic changes occur through parameterized spike timing-dependent plasticity rules which allows us to investigate the question whether cell assemblies can survive or even be strengthed by such common learning rules. It turns out that for different delays there are parameter settings which support cell assembly structures and others which do not.

Keywords

Cell Assembly Synaptic Weight Synaptic Strength Spike Generation Hebbian Learning 
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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Florian Hauser
    • 1
  • David Bouchain
    • 1
  • Günther Palm
    • 1
  1. 1.Institute of Neural Information ProcessingUlm UniversityGermany

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