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Transmission of Distributed Deterministic Temporal Information through a Diverging/Converging Three-Layers Neural Network

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Artificial Neural Networks – ICANN 2010 (ICANN 2010)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6352))

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Abstract

This study investigates the ability of a diverging/converging neural network to transmit and integrate a complex temporally organized activity embedded in afferent spike trains. The temporal information is originally generated by a deterministic nonlinear dynamical system whose parameters determine a chaotic attractor. We present the simulations obtained with a network formed by simple spiking neurons (SSN) and a network formed by a multiple-timescale adaptive threshold neurons (MAT). The assessment of the temporal structure embedded in the spike trains is carried out by sorting the preferred firing sequences detected by the pattern grouping algorithm (PGA). The results suggest that adaptive threshold neurons are much more efficient in maintaining a specific temporal structure distributed across multiple spike trains throughout the layers of a feed-forward network.

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Author information

Authors and Affiliations

  1. The Center for Advanced Medical Engineering and Informatics, Osaka University, Osaka, Japan

    Yoshiyuki Asai

  2. INSERM U836; Grenoble Inst. of Neuroscience, Université Joseph Fourier, Neuro Heuristic Research Group, Eq. 7 - Nanomédecine et Cerveau, Grenoble, France

    Yoshiyuki Asai & Alessandro E. P. Villa

  3. Neuro Heuristic Research Group, Information Science Institute, University of Lausanne, Lausanne, Switzerland

    Yoshiyuki Asai & Alessandro E. P. Villa

Authors
  1. Yoshiyuki Asai
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  2. Alessandro E. P. Villa
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Editor information

Editors and Affiliations

  1. Department of Informatics, TEI of Thessaloniki, 57400, Sindos, Greece

    Konstantinos Diamantaras

  2. School of Physics, Astronomy, and Informatics, Department of Informatics, Nicolaus Copernicus University, ul. Grudziadzka 5, 87-100, Torun, Poland

    Wlodek Duch

  3. Department of Forestry and Management of the Environment and Natural Resources, Democritus University of Thrace, Pantazidou 193, 68200, Orestiada, Thrace, Greece

    Lazaros S. Iliadis

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Asai, Y., Villa, A.E.P. (2010). Transmission of Distributed Deterministic Temporal Information through a Diverging/Converging Three-Layers Neural Network. In: Diamantaras, K., Duch, W., Iliadis, L.S. (eds) Artificial Neural Networks – ICANN 2010. ICANN 2010. Lecture Notes in Computer Science, vol 6352. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15819-3_19

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  • DOI: https://doi.org/10.1007/978-3-642-15819-3_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15818-6

  • Online ISBN: 978-3-642-15819-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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