Literature DB >> 16502240

Generation of very slow neuronal rhythms and chaos near the Hopf bifurcation in single neuron models.

Shinji Doi1, Sadatoshi Kumagai.   

Abstract

We have presented a new generation mechanism of slow spiking or repetitive discharges with extraordinarily long inter-spike intervals using the modified Hodgkin-Huxley equations (Doi and Kumagai, 2001). This generation process of slow firing is completely different from that of the well-known potassium A-current in that the steady-state current-voltage relation of the neuronal model is monotonic rather than the N-shaped one of the A-current. In this paper, we extend the previous results and show that the very slow spiking generically appears in both the three-dimensional Hodgkin-Huxley equations and the three dimensional Bonhoeffer-van der Pol (or FitzHugh-Nagumo) equations. The generation of repetitive discharges or the destabilization of the unique equilibrium point (resting potential) is a simple Hopf bifurcation. We also show that the generation of slow spiking does not depend on the stability of the Hopf bifurcation: supercritical or subcritical. The dynamics of slow spiking is investigated in detail and we demonstrate that the phenomenology of slow spiking can be categorized into two types according to the type of the corresponding bifurcation of a fast subsystem: Hopf or saddle-node bifurcation.

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Year:  2005        PMID: 16502240     DOI: 10.1007/s10827-005-2895-1

Source DB:  PubMed          Journal:  J Comput Neurosci        ISSN: 0929-5313            Impact factor:   1.621


  23 in total

1.  Thresholds and plateaus in the Hodgkin-Huxley nerve equations.

Authors:  R FITZHUGH
Journal:  J Gen Physiol       Date:  1960-05       Impact factor: 4.086

2.  Simulation of the bursting activity of neuron R15 in Aplysia: role of ionic currents, calcium balance, and modulatory transmitters.

Authors:  C C Canavier; J W Clark; J H Byrne
Journal:  J Neurophysiol       Date:  1991-12       Impact factor: 2.714

3.  Dynamics of membrane excitability determine interspike interval variability: a link between spike generation mechanisms and cortical spike train statistics.

Authors:  B S Gutkin; G B Ermentrout
Journal:  Neural Comput       Date:  1998-07-01       Impact factor: 2.026

4.  Bifurcation, bursting, and spike frequency adaptation.

Authors:  J Guckenheimer; R Harris-Warrick; J Peck; A Willms
Journal:  J Comput Neurosci       Date:  1997-07       Impact factor: 1.621

Review 5.  The intrinsic electrophysiological properties of mammalian neurons: insights into central nervous system function.

Authors:  R R Llinás
Journal:  Science       Date:  1988-12-23       Impact factor: 47.728

6.  Coupling of a slow and a fast oscillator can generate bursting.

Authors:  J Honerkamp; G Mutschler; R Seitz
Journal:  Bull Math Biol       Date:  1985       Impact factor: 1.758

7.  Topological and phenomenological classification of bursting oscillations.

Authors:  R Bertram; M J Butte; T Kiemel; A Sherman
Journal:  Bull Math Biol       Date:  1995-05       Impact factor: 1.758

8.  The potassium A-current, low firing rates and rebound excitation in Hodgkin-Huxley models.

Authors:  M E Rush; J Rinzel
Journal:  Bull Math Biol       Date:  1995-11       Impact factor: 1.758

9.  On repetitive activity in nerve.

Authors:  J Rinzel
Journal:  Fed Proc       Date:  1978-12

10.  Chaotic spiking in the Hodgkin-Huxley nerve model with slow inactivation of the sodium current.

Authors:  Shinji Doi; Junko Inoue; Sadatoshi Kumagai
Journal:  J Integr Neurosci       Date:  2004-06       Impact factor: 2.117

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  1 in total

1.  Hyperpolarization-Activated Current Induces Period-Doubling Cascades and Chaos in a Cold Thermoreceptor Model.

Authors:  Kesheng Xu; Jean P Maidana; Mauricio Caviedes; Daniel Quero; Pablo Aguirre; Patricio Orio
Journal:  Front Comput Neurosci       Date:  2017-03-10       Impact factor: 2.380

  1 in total

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