Advertisement

An Analysis of the Adaptive Behavior of Piriform Cortex Pyramidal Cells

  • S. M. Crook
  • G. B. Ermentrout

Abstract

Cortical pyramidal neurons respond to a depolarizing current pulse with a train of action potentials [4, 2]. These action potentials occur at a higher frequency during the initial stages of the current injection with a decreased firing rate or a cessation of firing at later stages of a sustained injection. This spike frequency adaptation can be mostly suppressed by local application of norepinephrine or acetylcholine [6, 7] which block a slow calcium-dependent potassium current.

Keywords

Pyramidal Cell Bifurcation Diagram Current Injection Saddle Node Bifurcation Maximal Conductance 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. [1]
    E. Barkai and M. E. Hasselmo. Modulation of the input/output function of rat piriform cortex pyramidal cells. Journal of Neurophysiology, 72: 644–658, 1994.PubMedGoogle Scholar
  2. [2]
    B. W. Connors, M. J. Gutnick, and D. A. Prince. Electrophysiological properties of neocortical neurons in vitro. Journal of Neurophysiology, 48: 1302–1320, 1982.PubMedGoogle Scholar
  3. [3]
    W. W. Lytton and T. J. Sejnowski. Simulations of cortical pyramidal neurons synchronized by inhibitory interneurons. Journal of Neurophysiology, 66: 1059–1079, 1991.PubMedGoogle Scholar
  4. [4]
    D. A. McCormick and D. A. Prince. Two types of muscarinic response to acetylcholine in mammalian cortical neurons. Proceedings of the National Academy of Science, 82: 6344–6348, 1985.CrossRefGoogle Scholar
  5. [5]
    J. Rinzel and G. B. Ermentrout. Analysis of neural excitability. In C. Koch and I. Segev, editors, Methods in Neuronal Modeling, chapter 5, pages 135–169. The MIT Press, Cambridge, MA, 1992.Google Scholar
  6. [6]
    S. M. Sherman and C. Koch. The control of retinogeniculate transmission in the mammalian lateral geniculate nucleus. Experimental Brian Research, 63: 1–20, 1986.Google Scholar
  7. [7]
    M. Steriade and R. R. Llinas. The functional states of the thalamus and the associated neuronal interplay. Physiology Review, 68: 649–742, 1988.Google Scholar
  8. [8]
    R. Traub, R. Wong, R. Miles, and H. Michelson. A model of a CA3 hippocampal pyramidal neuron incorporating voltage-clamp data on intrinsic conductances. Journal of Neurophvsiology, 66: 635–649, 1991.Google Scholar
  9. [9]
    M. C. Vanier and J. M. Bower. A comparison of automated parameter-searching methods for neural models. In J. M. Bower, editor, Computational Neuroscience: Trends in Research 1995. Academic Press, 1996.Google Scholar
  10. [10]
    M. Wilson and J. M. Bower. Cortical oscillations and temporal interactions in a computer simulation of piriform cortex. Journal of Neurophysiologt. 67: 981–995, 1992.Google Scholar

Copyright information

© Springer Science+Business Media New York 1997

Authors and Affiliations

  • S. M. Crook
    • 1
  • G. B. Ermentrout
    • 2
  1. 1.Mathematical Research Branch, NIDDKNational Institutes of HealthBethesdaUSA
  2. 2.Department of MathematicsUniversity of PittsburghPittsburghUSA

Personalised recommendations