Skip to main content

Integrate-and-Fire Neurons Matched to Physiological F-I Curves Yield High Input Sensitivity and Wide Dynamic Range

  • Chapter

Abstract

Simple integrate-and-fire neurons that accurately reproduce in vitro data from cortical regular spiking cells can display surprisingly sophisticated behavior. To reproduce in vitro f-I plots, voltage after spikes was reset to 5 mV below threshold, and simple spike rate adaptation was added. Small reset results in input sensitivity (high gain) on short time scales; adaptation leads to wide dynamic range over longer time scales. The model displays physiological ISI variability using either delta function or temporally realistic synaptic conductances. Cross correlation between pre- and post-synaptic spikes suggests that cortical neurons may be capable of transmitting information on the millisecond time scale.

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   259.00
Price excludes VAT (USA)
  • Available as 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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. M. Abeles. Corticonics: Neural Circuits of the Cerebral Cortex. Cambridge University Press, Cambridge, 1991.

    Book  Google Scholar 

  2. G.W. Holt, W.R. Softky. C. Koch, and R.J. Douglas. A comparison of discharge variability in vitro and in vivo in cat visual cortical neurons. Journal of Neurophysiology, 75(5): 1806–1814, 1996.

    Google Scholar 

  3. D.A. McCormick, B.W. Connors, J.W. Lighthall, and D.A, Prince. Comparative electrophysiology of pyramidal and sparsely spiny stellate neurons of the neocortex. J. Neurophysiol, 54: 782–805, 1985.

    PubMed  CAS  Google Scholar 

  4. M.N. Shadlen and W.T. Newsome. Noise, neural codes and conical organization. Curr. Opin. Neurobiol, 4: 569–579, 1994.

    Article  PubMed  CAS  Google Scholar 

  5. M.N. Shadlen and W.T. Newsome. Reply: Is there a signal in the noise? Curr. Opin. Neurobiol, 5: 248–250, 1995.

    Article  PubMed  CAS  Google Scholar 

  6. W.R. Softky and C. Koch. The highly irregular firing of cortical cells is inconsistent with temporal integration of random EPSPs..Journal of Neuroscience, I3(í): 334–350, 1993.

    Google Scholar 

  7. W.R. Softky. Simple codes versus efficient codes. Curr. Opin. Neurobiol, 5: 239–247, 1995.

    Article  PubMed  CAS  Google Scholar 

  8. T.W. Troyer and K.D. Miller. A simple model of conical excitatory cells linking NMDA-mediated currents, ISl variability, spike repolarization and slow AHPs. Society for Neuroscience Abstracts. 1995.

    Google Scholar 

  9. T.W. Troyer and K.D. Miller. Physiological gain leads to high ISI variability in a simple model of a cortical regular spiking cell. Neural Computation Vol. 9 No. 4, 1997. In Press.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1997 Springer Science+Business Media New York

About this chapter

Cite this chapter

Troyer, T.W., Miller, K.D. (1997). Integrate-and-Fire Neurons Matched to Physiological F-I Curves Yield High Input Sensitivity and Wide Dynamic Range. In: Bower, J.M. (eds) Computational Neuroscience. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-9800-5_32

Download citation

  • DOI: https://doi.org/10.1007/978-1-4757-9800-5_32

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4757-9802-9

  • Online ISBN: 978-1-4757-9800-5

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics