Dynamics of Population Decoding with Strong Inhibition

  • Thomas Trappenberg
Conference paper

Abstract

Decoding information from a population of noisy neurons can be achieved efficiently with center-surround recurrent networks. Here we study such networks with continuing external input and investigate the dynamics of decoding with varying inhibition strength in the network. We find that the best decoding is achieved at the onset of the memory regime in such networks.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Thomas Trappenberg
    • 1
  1. 1.Dalhousie UniversityHalifaxCanada

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