Skip to main content
Log in

Membrane voltage changes in a compartmental chain model of a neurone

  • Published:
Biological Cybernetics Aims and scope Submit manuscript

Abstract

A mathematical model of the neurone has been developed using the method of subdivision of the neurone into a number of equivalent circuit compartments. Compartmental characteristics have been investigated by calculating the shape indices of the output produced in response to a given somatic input conductance change. A generalised form of compartmental chain has been chosen to allow calculation of the shape indices produced by a variety of geometrical configurations including the straight and tapering chain forms. Equations have been deduced from the computations made on a CDC 6600 computer relating the peak amplitude of the output response to the compartmental diameter for both the straight and tapering chain forms. The effect of variation in the location of the input conductance injection site has also been related to the peak amplitude of the somatic response. The optimum characteristics of the input conductance pulse shape have been computed initially using a rectangular pulse and later the more physiologically relevant double exponential shape. The effect of alteration in the end compartmental terminal impedances over the range from open to short circuit conditions was also calculated. The establishment of optimum single compartmental chain criteria allows the future investigation of multiple chain and pyramidal cell configurations.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Barrett, J.N., Crill, W.E.: Specific membrane resistivity of dye injected cat motoneurones. Brain Res. 28, 556–561 (1971)

    Google Scholar 

  • Barrett, J.N., Crill, W.E.: Specific membrane properties of cat motoneurones. J. Physiol. 239, 301–324 (1974a)

    Google Scholar 

  • Barrett, J.N., Crill, W.E.: Influence of dendritic location and membrane properties on the effectiveness of synapses on cat motoneurones. J. Physiol. 239, 325–345 (1974b)

    Google Scholar 

  • Fitzhugh, R.: Thresholds and plateaus in the Hodgkin-Huxley nerve equations. J. Gen. Physiol. 43, 867–896 (1960)

    Google Scholar 

  • Hodgkin, A.L., Huxley, A.F.: A quantitative description of membrane current and its application to conduction and excitation in nerve. J. Physiol. 117, 500–545 (1952)

    Google Scholar 

  • Jack, J.J.B., Redman, S.J.: The propagation of transient potentials in some linean cable structure. J. Physiol. 215, 283–320 (1971)

    Google Scholar 

  • McLennan, H.: Synaptic transmission. 2nd Ed., Chap. 3, p. 41. Philadelphia: Saunders and Co. 1970

    Google Scholar 

  • Rall, W.: Branching dendritic trees and motoneuron membrane resistivity. Exp. Neurol. 1, 491–527 (1959)

    Google Scholar 

  • Rall, W.: Membrane potential transients and membrane time constant of motoneurons. Exp. Neurol. 2, 503–532 (1960)

    Google Scholar 

  • Rall, W.: Theory of physiological properties of dendrites. Ann. N.Y. Acad. Sci. 96, 1071–1092 (1962)

    Google Scholar 

  • Rall, W.: Theoretical significance of dendritic trees for neuronal input-output relations. In: Neural theory and modeling. pp. 73–97. Ed.: Reiss, R.F., Stanford, Stanford University Press 1964

    Google Scholar 

  • Rall, W.: Distinguishing theoretical synaptic potentials computed for different soma-dendritic distributions of synaptic input. J. Neurophysiol. 30, 1138–1168 (1967)

    Google Scholar 

  • Rall, W.: Time constants and electrotonic length of membrane cylinders and neurons. Biophys. J. 9, 1483–1508 (1969)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Keller, D.J., Lal, S. Membrane voltage changes in a compartmental chain model of a neurone. Biol. Cybernetics 24, 211–217 (1976). https://doi.org/10.1007/BF00335981

Download citation

  • Received:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF00335981

Keywords

Navigation