Bifurcations in the decremental propagation of a spike train in the Hodgkin-Huxley model of low excitability

Abstract. Response of a nerve fiber of low excitability to periodic stimulus pulses is studied with computer simulation of the Hodgkin-Huxley model. The excitability of the Hodgkin-Huxley model is reduced by decreasing the equilibrium potential for the sodium ion and by increasing the temperature, so that the decremental propagation of spikes occurs in the refractory period. It is shown that, as the period of stimulus pulses is decreased, the propagation length of the spikes is continuously changed, and period-doubling bifurcations occur. The response of a nerve fiber of low excitability is then qualitatively different from that of a normal fiber.

[1]  Lewi Stone,et al.  Period-doubling reversals and chaos in simple ecological models , 1993, Nature.

[2]  A. Hodgkin,et al.  A quantitative description of membrane current and its application to conduction and excitation in nerve , 1990 .

[3]  Shuji Yoshizawa,et al.  Pulse sequences generated by a degenerate analog neuron model , 1982, Biological Cybernetics.

[4]  R. Fox Stochastic versions of the Hodgkin-Huxley equations. , 1997, Biophysical journal.

[5]  H. Swadlow,et al.  Modulation of impulse conduction along the axonal tree. , 1980, Annual review of biophysics and bioengineering.

[6]  Tassos Bountis,et al.  Remerging Feigenbaum trees in dynamical systems , 1984 .

[7]  J. Cooley,et al.  Digital computer solutions for excitation and propagation of the nerve impulse. , 1966, Biophysical journal.

[8]  Horikawa Period-doubling bifurcations and chaos in the decremental propagation of a spike train in excitable media. , 1994, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[9]  J. Rinzel,et al.  The dependence of impulse propagation speed on firing frequency, dispersion, for the Hodgkin-Huxley model. , 1981, Biophysical journal.

[10]  K. Aihara,et al.  Chaos and phase locking in normal squid axons , 1987 .

[11]  R. L. Nó,et al.  DECREMENTAL CONDUCTION IN PERIPHERAL NERVE. INTEGRATION OF STIMULI IN THE NEURON. , 1959, Proceedings of the National Academy of Sciences of the United States of America.

[12]  Y. Horikawa,et al.  Simulation study on effects of channel noise on differential conduction at an axon branch. , 1993, Biophysical journal.

[13]  K. Aihara,et al.  Chaotic neural networks , 1990 .

[14]  S Sato,et al.  Response characteristics of the BVP neuron model to periodic pulse inputs. , 1992, Mathematical biosciences.

[15]  O. H. Schmitt,et al.  Partial excitation and variable conduction in the squid giant axon , 1940, The Journal of physiology.

[16]  J. R. Clay,et al.  Relationship between membrane excitability and single channel open-close kinetics. , 1983, Biophysical journal.

[17]  N. H. Sabah,et al.  The effect of membrane parameters on the properties of the nerve impulse. , 1972, Biophysical journal.

[18]  E Wanke,et al.  Potassium and sodium ion current noise in the membrane of the squid giant axon. , 1975, The Journal of physiology.

[19]  L. Walløe,et al.  Firing behaviour in a stochastic nerve membrane model based upon the Hodgkin-Huxley equations. , 1979, Acta physiologica Scandinavica.

[20]  B. Huberman,et al.  Fluctuations and simple chaotic dynamics , 1982 .

[21]  Chaos In Systems With Noise: (2nd Edition) , 1990 .

[22]  T. Musha,et al.  Global Bifurcation Structure in Periodically Stimulated Giant Axons of Squid(Mathematical Topics in Biology) , 1989 .

[23]  A. Huxley ION MOVEMENTS DURING NERVE ACTIVITY , 1959, Annals of the New York Academy of Sciences.

[24]  Louis J. DeFelice,et al.  Introduction to membrane noise , 1981 .