Neural Nets pp 44-48 | Cite as

A System for Transmitting a Coherent Burst of Activity Through a Network of Spiking Neurons

  • J. Bose
  • S. B. Furber
  • J. L. Shapiro
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3931)

Abstract

In this paper we examine issues involving the transmission of information by spike trains through networks made of real time asynchronous spiking neurons. For our convenience we use a spiking model that is has an intrinsic delay between an input and output spike. We look at issues involving transmission of a desired average level of stable spiking activity over many layers, and show how feed-back reset inhibition can achieve this aim. We then deal with the coherence of spike trains and show that it is possible for a burst of spikes emitted by a layer to not diverge when passing through different layers of neurons. We present the results of simulations done on a multi layered feed-forward system to illustrate our method.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • J. Bose
    • 1
  • S. B. Furber
    • 1
  • J. L. Shapiro
    • 1
  1. 1.School of Computer ScienceUniversity of ManchesterManchesterUK

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