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

  • Conference paper
Neural Nets (WIRN 2005, NAIS 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,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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References

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Author information

Authors and Affiliations

  1. School of Computer Science, University of Manchester, Manchester, M13 9PL, UK

    J. Bose, S. B. Furber & J. L. Shapiro

Authors
  1. J. Bose
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  2. S. B. Furber
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  3. J. L. Shapiro
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Editor information

Editors and Affiliations

  1. Dipartimentimento di Scienze dell’Informazione, via Comelico 39/41, 20135, Milano, Italy

    Bruno Apolloni

  2. Dipartimento di Fisica “E.R. Caianiello”, Università degli Studi di Salerno, Via S. Allende, 84081, Baronissi (SA), Italy

    Maria Marinaro

  3. Department of Mathematics and Computer Science, University of Catania, Viale A. Doria 6, 95125, Catania, Italy

    Giuseppe Nicosia

  4. Department of Mathematics and Informatics, University of Salerno, Via Ponte Don Melillo, 84084, Fisciano (SA), Italy

    Roberto Tagliaferri

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© 2006 Springer-Verlag Berlin Heidelberg

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Bose, J., Furber, S.B., Shapiro, J.L. (2006). A System for Transmitting a Coherent Burst of Activity Through a Network of Spiking Neurons. In: Apolloni, B., Marinaro, M., Nicosia, G., Tagliaferri, R. (eds) Neural Nets. WIRN NAIS 2005 2005. Lecture Notes in Computer Science, vol 3931. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11731177_7

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  • DOI: https://doi.org/10.1007/11731177_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-33183-4

  • Online ISBN: 978-3-540-33184-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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