Skip to main content

Comparison of Spike-Train Responses of a Pair of Coupled Neurons Under the External Stimulus

  • Conference paper
  • 1411 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4232))

Abstract

Numerical calculations have been made on the consistent spike-train response of a pair of locus ceruleus (LC) neurons coupled by synapse. The coupled, excitable LC neurons are assumed to receive the constant, periodic and chaotic external stimulus at dendrite of the neuron, and whose soma potential being adopted to driving the other one along axon. With appropriated stimulus and coupling strength, the synchronization oscillation between the two neurons is well preserved even when the external stimulus is chaotic, for the small time scale stimulus, one inspiring simulations results, the wave shape or chaotic attractor of stimulus could be transmitted completely by neuronal ISIs sequence, including the periodic, chaotic characters of stimulus, such as, phase space or chaotic attractors, but this phenomenon disappears for big time scale stimulus.

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

Buying options

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

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Jin, W.Y., Xu, J.X., Wu, Y., Hong, L.: Rate of afferent stimulus dependent synchronziation andcoding in coupled neurons system. Chaos, Solitons and Fractals 21, 1221–1229 (2004)

    Article  MATH  Google Scholar 

  2. Koch, C., Segev, I.: The role of single neurons in information processing. Nat. Neurosci. 3, 1171–1177 (2000)

    Article  Google Scholar 

  3. Moore, T., Armstrong, K.M.: Selective gating of visual signals by microstimulation of frontal cortex. Nat. 421, 370–373 (2003)

    Article  Google Scholar 

  4. Ashwin, P.: Synchronization from chaos. Nat. 422, 384–385 (2003)

    Article  Google Scholar 

  5. Alvarez, V.A., Chow, C.C., Van Bockstaele, E.J., et al.: Frequency-dependent synchrony in locus ceruleus: Role of electrotonic coupling. Neurobiology 99, 4032–4036 (2002)

    Google Scholar 

  6. Gutkin, B.S., Laing, C.R., Colby, C.L.: Turning on and off with excitation: The role spike-timing asynchrony and synchrony in sustained neural activity. J. Comp. Neuronsci. 11, 121–134 (2001)

    Article  Google Scholar 

  7. Singer, W.: Neuronal synchrony: A versatile code for the definition relation. Neuron 24, 49–65 (1999)

    Article  Google Scholar 

  8. Paulsen, O., Sejnowski, T.J.: Natural pattern of activity and long-term synaptic plasticity. Neurobio. 10, 172–179 (2000)

    Google Scholar 

  9. Koch, C.: Computation and the signal neuron. Nat. 385, 207–210 (1997)

    Article  Google Scholar 

  10. Jin, W.Y., Xu, J.X., Wu, Y., Hong, L.: An alternating periodic-chaotic ISI sequence of H-H neuron under external sinusoidal stimulus. Chinese Physics 13, 335–340 (2004)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Jin, W., Rui, Z., Wei, Y., Yan, C. (2006). Comparison of Spike-Train Responses of a Pair of Coupled Neurons Under the External Stimulus. In: King, I., Wang, J., Chan, LW., Wang, D. (eds) Neural Information Processing. ICONIP 2006. Lecture Notes in Computer Science, vol 4232. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893028_7

Download citation

  • DOI: https://doi.org/10.1007/11893028_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-46479-2

  • Online ISBN: 978-3-540-46480-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics