Skip to main content

Determination of the Number Ratio Between Excitation Neurons and Inhibitory Neurons in Activities of Neural Networks

  • Conference paper
  • First Online:
Advances in Cognitive Neurodynamics (II)
  • 659 Accesses

Abstract

In this paper we found parameter regions to exhibit those different population states, called dividing zones including flat fading zone, rapid fading zone and critical zone. Based on the dividing zones we can choose the number ratio between inhibitory neurons and excitatory neurons and establish the couplings in a neural network. Our researches also show that the balance value, enabling the firing density to reach the dynamic balance, does not depend on initial conditions. In additions, the critical value is only related to the number ratio under the same initial conditions.

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 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 329.99
Price excludes VAT (USA)
  • Durable hardcover 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

References

  1. Winfree, A.T.: An integrated view of the resetting of circadian clock. Theor. Biol. 28 (1970) 327–374.

    Article  CAS  Google Scholar 

  2. Haken, H.: Synopsis and Introduction, in Synergetics of the Brain. Berlin: Springer (1980).

    Google Scholar 

  3. Tass, P.A.: Phase Resetting in Medicine and Biology. Berlin: Springer-Verlag (1999).

    Google Scholar 

  4. Neiman, AB., Russell, D.F., Yakusheva, T.A., DiLullo, A, Tass, P.A.: Response clustering in transient stochastic synchronization and desynchronization of coupled neuronal bursters. Phys. Rev. E. 76 (2007) 021908.

    Article  Google Scholar 

  5. Wagatsuma, H., Yamaguchi, Y.: Disambiguation of multiple sequence learning by theta phase coding. Brain Neural Netw. 12 (2005) 17–31.

    Google Scholar 

  6. Wang, R., Zhang, Z.: Nonlinear stochastic models of neurons activities. Neurocomputing. 51 (2003) 401–411.

    Article  Google Scholar 

  7. Wang, R., Zhang, Z., Chen, G.: Energy function and energy evolution on neuronal populations. IEEE Trans. Neural Netw. 19 (2008) 535–538.

    Article  PubMed  Google Scholar 

  8. Wang, R., Zhang, Z.: Energy coding in biological neural network. Cogn. Neurodyn. 1(3) (2007) 203–212.

    Article  PubMed  Google Scholar 

  9. Liu, Y., Wang, R., Zhang, Z., Jiao, X.: Analysis of neurodynamics on phase neural coding in the presence of inhibitory neurons. ICNC’09. Tianjin, China (2009).

    Google Scholar 

Download references

Acknowledgements

This work is supported by National Natural Science Foundation of China (NSFC) (10872068, 10672057)

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yan Liu .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer Science+Business Media B.V.

About this paper

Cite this paper

Liu, Y., Wang, R., Zhang, Z., Jiao, X., Cao, J. (2011). Determination of the Number Ratio Between Excitation Neurons and Inhibitory Neurons in Activities of Neural Networks. In: Wang, R., Gu, F. (eds) Advances in Cognitive Neurodynamics (II). Springer, Dordrecht. https://doi.org/10.1007/978-90-481-9695-1_37

Download citation

Publish with us

Policies and ethics