Skip to main content

Fundamental Analysis of a Digital Spiking Neuron for Its Spike-Based Coding

  • Conference paper
Neural Information Processing (ICONIP 2007)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4985))

Included in the following conference series:

  • 1534 Accesses

Abstract

A digital spiking neuron (DSN) is a wired system of shift registers. By adjusting the parameters (e.g., number of registers and wiring pattern), the DSN can generate spike-trains having various inter-spike-intervals. In this paper we present some basic relations between parameters of the DSN and characteristics of the spike-train. We also discuss that the presented results will be fundamental to consider ISI-based coding abilities of the DSN.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Perez, R., Glass, L.: Bistability, period doubling bifurcations and chaos in a periodically forced oscillator. Phys. Lett. 90A(9), 441–443 (1982)

    MathSciNet  Google Scholar 

  2. Izhikevich, E.M.: Dynamical systems in neuroscience. MIT Press, Cambridge (2006)

    Google Scholar 

  3. Torikai, H., Saito, T.: Synchronization phenomena in pulse-coupled networks driven by spike-train inputs. IEEE Trans. Neural Networks 15(2), 337–347 (2004)

    Article  Google Scholar 

  4. Lee, G., Farhat, N.H.: The bifurcating neuron network 2. Neural networks 15, 69–84 (2002)

    Article  Google Scholar 

  5. Eckhorn, R.: Neural mechanisms of scene segmentation: recordings from the visual cortex suggest basic circuits for linking field models. IEEE Trans. Neural Networks 10(3), 464–479 (1999)

    Article  Google Scholar 

  6. Hopfield, J.J., Herz, A.V.M.: Rapid local synchronization of action potentials: Toward computation with coupled integrate-and-fire neurons. Proc. Natl. Acad. Sci. USA 92, 6655–6662 (1995)

    Article  Google Scholar 

  7. Campbell, S.R., Wang, D., Jayaprakash, C.: Synchrony and desynchrony in integrate-and-fire oscillators. Neural computation 11, 1595–1619 (1999)

    Article  Google Scholar 

  8. Nakano, H., Saito, T.: Grouping synchronization in a pulse-coupled network of chaotic spiking oscillators. IEEE Trans. Neural Networks 15(5), 1018–1026 (2004)

    Article  Google Scholar 

  9. Torikai, H., Hamanaka, H., Saito, T.: Reconfigurable Digital Spiking Neuron and its Pulse-Coupled Network: Basic Characteristics and Potential Applications. IEEE Trans. CAS-II 53(8), 734–738 (2006)

    Google Scholar 

  10. Torikai, H.: Basic Characteristics and Learning Potential of a Digital Spiking Neuron. IEICE Trans. Fundamentals (to appear, 2007)

    Google Scholar 

  11. Torikai, H., Funew, A., Saito, T.: Approximation of Spike-trains by Digital Spiking Neuron. In: Proc. of IJCNN, paper #1698 (2007)

    Google Scholar 

  12. Kabe, T., Torikai, H., Saito, T.: Synchronization via multiplex spike-trains in digital pulse-coupled networks. In: King, I., Wang, J., Chan, L.-W., Wang, D. (eds.) ICONIP 2006. LNCS, vol. 4234, pp. 1141–1149. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Masumi Ishikawa Kenji Doya Hiroyuki Miyamoto Takeshi Yamakawa

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Torikai, H. (2008). Fundamental Analysis of a Digital Spiking Neuron for Its Spike-Based Coding. In: Ishikawa, M., Doya, K., Miyamoto, H., Yamakawa, T. (eds) Neural Information Processing. ICONIP 2007. Lecture Notes in Computer Science, vol 4985. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69162-4_10

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-69162-4_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-69159-4

  • Online ISBN: 978-3-540-69162-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics