Skip to main content
Log in

Alternative Models to Hodgkin–Huxley Equations

  • Original Article
  • Published:
Bulletin of Mathematical Biology Aims and scope Submit manuscript

Abstract

The Hodgkin and Huxley equations have served as the benchmark model in electrophysiology since 1950s. But it suffers from four major drawbacks. Firstly, it is only phenomenological not mechanistic. Secondly, it fails to exhibit the all-or-nothing firing mechanism for action potential generation. Thirdly, it lacks a theory for ion channel opening and closing activation across the cell membrane. Fourthly, it does not count for the phenomenon of voltage-gating which is vitally important for action potential generation. In this paper, a mathematical model for excitable membranes is constructed by introducing circuit characteristics for ion pump exchange, ion channel activation, and voltage-gating. It is demonstrated that the model is capable of re-establishing the Nernst resting potentials, explicitly exhibiting the all-or-nothing firing mechanism, and most important of all, filling the long-lasting theoretical gap by a unified theory on ion channel activation and voltage-gating. It is also demonstrated that the new model has one half fewer parameters but fits significantly better to experiment than the HH model does. The new model can be considered as an alternative template for neurons and excitable membranes when one looks for simpler models for mathematical studies and for forming large networks with fewer parameters.

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.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10

Similar content being viewed by others

References

  • Agin D (1963) Some comments on the Hodgkin–Huxley equations. J Theor Biol 5(2):161–170

    Article  Google Scholar 

  • Agin D (1972) Excitability phenomena in membranes. Found Math Biol 1:253–277

    Article  MathSciNet  Google Scholar 

  • Almers W (1978) Gating currents and charge movements in excitable membranes. Rev Physiol Biochem Pharmacol 82:96–190

  • Armstrong CM, Bezanilla F (1973) Currents related to movement of the gating particles of the sodium channels. Nature 242:459–461

  • Arvanitaki A, Chalazonitis N (1949) Prototypes dinteractions neuroniques et transmissions synaptiques-donnees bioelectriques de preparations cellulaires. Archives des sciences physiologiques 3(4):547–565

    Google Scholar 

  • Benoit E, Callot J L, Diener F, Diener (1981) Chasse au canard (première partie). Collect Math 32(1):37–76

    MathSciNet  MATH  Google Scholar 

  • Bernstein J (1912) Electrobiologie braunschweig. Friedr. Vieweg und Sohn, Braunschweig, Germany, p 87

  • Carpenter D, Gunn R (1970) The dependence of pacemaker discharge of Aplysia neurons upon Na\(^+\) and Ca\(^{++}\). J Cell Physiol 75(1):121–127

    Article  Google Scholar 

  • Chay TR, Keizer J (1983) Minimal model for membrane oscillations in the pancreatic beta-cell. Biophys J 42(2):181

    Article  Google Scholar 

  • Cole KS (1932) Surface forces of the Arbacia egg. J Cell Comp Physiol 1(1):1–9

    Article  Google Scholar 

  • Cole KS (1940) Permeability and impermeability of cell membranes for ions. Cold Spring Harb Symp Quant Biol 8:110–122

  • Cole KS (1949) Dynamic electrical characteristics of the squid axon membrane. Archives des sciences physiologiques 3(2):253–258

    Google Scholar 

  • Cole KS (1968) Membranes, ions, and impulses: a chapter of classical biophysics, vol 5. University of California Press, Oakland

    Google Scholar 

  • Connor J, Stevens C (1971) Prediction of repetitive firing behaviour from voltage clamp data on an isolated neurone soma. J Physiol 213(1):31–53

    Article  Google Scholar 

  • Deng B (2004) Food chain chaos with canard explosion. Chaos Interdiscip J Nonlinear Sci 14(4):1083–1092

    Article  MathSciNet  MATH  Google Scholar 

  • Deng B (2009) Conceptual circuit models of neurons. J Integr Neurosci 8(03):255–297

    Article  Google Scholar 

  • Deng B (2014) An inverse problem: trappers drove hares to eat lynx. Preprint

  • Deng B, Estes A, Grieb B, Richard D, Hinds B, Hebets E (2014) A male spider’s ornamentation polymorphism maintained by opposing selection with two niches. J Theor Biol 357:103–111

    Article  MathSciNet  Google Scholar 

  • FitzHugh R (1961) Impulses and physiological states in theoretical models of nerve membrane. Biophys J 1(6):445

    Article  Google Scholar 

  • Frazier WT, Kandel ER, Kupfermann I, Waziri R, Coggeshall RE (1967) Morphological and functional properties of identified neurons in the abdominal ganglion of Aplysia californica. J Neurophysiol 30(6):1288–1351

    Google Scholar 

  • Goldman DE (1943) Potential, impedance, and rectification in membranes. J Gen Physiol 27(1):37–60

    Article  Google Scholar 

  • Hindmarsh J, Rose R (1984) A model of neuronal bursting using three coupled first order differential equations. Proc R Soc Lond Ser B Biol Sci 221(1222):87–102

    Article  Google Scholar 

  • Hodgkin AL, Katz B (1949) The effect of sodium ions on the electrical activity of the giant axon of the squid. J Physiol 108(1):37–77

    Article  Google Scholar 

  • Hodgkin AL, Huxley AF (1952a) A quantitative description of membrane current and its application to conduction and excitation in nerve. J Physiol 117(4):500–544

    Article  Google Scholar 

  • Hodgkin AL, Huxley AF (1952b) Currents carried by sodium and potassium ions through the membrane of the giant axon of Loligo. J Physiol 116(4):449–472

    Article  Google Scholar 

  • Hodgkin A, Huxley A (1952c) The components of membrane conductance in the giant axon of Loligo. J Physiol 116(4):473–496

    Article  Google Scholar 

  • Hodgkin AL, Huxley AF (1952d) The dual effect of membrane potential on sodium conductance in the giant axon of Loligo. J Physiol 116(4):497–506

    Article  Google Scholar 

  • Hodgkin AL, Huxley A, Katz B (1952) Measurement of current-voltage relations in the membrane of the giant axon of Loligo. J Physiol 116(4):424–448

    Article  Google Scholar 

  • Li C-L, Jasper H (1953) Microelectrode studies of the electrical activity of the cerebral cortex in the cat. J Physiol 121(1):117–140

    Article  Google Scholar 

  • Moore JW (1959) Excitation of the squid axon membrane in isosmotic potassium chloride. Nature 183:265–266

    Article  Google Scholar 

  • Morris C, Lecar H (1981) Voltage oscillations in the barnacle giant muscle fiber. Biophys J 35(1):193

    Article  Google Scholar 

  • Partridge LD, Stevens C (1976) A mechanism for spike frequency adaptation. J Physiol 256(2):315–332

    Article  Google Scholar 

  • Yamamoto K (1965) Negative resistance and electro-kinetic cross-phenomenon in ionic solution. J Phys Soc Jpn 20:1727

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Bo Deng.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Deng, B. Alternative Models to Hodgkin–Huxley Equations. Bull Math Biol 79, 1390–1411 (2017). https://doi.org/10.1007/s11538-017-0289-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11538-017-0289-y

Keywords

Navigation