Literature DB >> 3437231

Dissection of a model for neuronal parabolic bursting.

J Rinzel1, Y S Lee.   

Abstract

We have obtained new insight into the mechanisms for bursting in a class of theoretical models. We study Plant's model for Aplysia R-15 to illustrate our view of these so-called "parabolic" bursters, which are characterized by low spike frequency at the beginning and end of a burst. By identifying and analyzing the fast and slow processes we show how they interact mutually to generate spike activity and the slow wave which underlies the burst pattern. Our treatment is essentially the first step of a singular perturbation approach presented from a geometrical viewpoint and carried out numerically with AUTO. We determine the solution sets (steady state and oscillatory) of the fast subsystem with the slow variables treated as parameters. These solutions form the slow manifold over which the slow dynamics then define a burst trajectory. During the silent phase of a burst, the solution trajectory lies approximately on the steady state branch of the slow manifold and during the active phase of spiking, the trajectory sweeps through the oscillation branch. The parabolic nature of bursting arises from the (degenerate) homoclinic transition between the oscillatory branch and the steady state branch. We show that, for some parameter values, the trajectory remains strictly on the steady state branch (to produce a resting steady state or a pure slow wave without spike activity) or strictly in the oscillatory branch (continuous spike activity without silent phases). Plant's model has two slow variables: a calcium conductance and the intracellular free calcium concentration, which activates a potassium conductance. We also show how bursting arises from an alternative mechanism in which calcium inactivates the calcium current and the potassium conductance is insensitive to calcium. These and other biophysical interpretations are discussed.

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Year:  1987        PMID: 3437231     DOI: 10.1007/BF00275501

Source DB:  PubMed          Journal:  J Math Biol        ISSN: 0303-6812            Impact factor:   2.259


  18 in total

1.  The generation and modulation of endogenous rhythmicity in the Aplysia bursting pacemaker neurone R15.

Authors:  W B Adams; J A Benson
Journal:  Prog Biophys Mol Biol       Date:  1985       Impact factor: 3.667

2.  Qualitative analysis of a model generating long potential waves in Ba-treated nerve cells--I. Reduced systems.

Authors:  J Argémi; M Gola; H Chagneux
Journal:  Bull Math Biol       Date:  1979       Impact factor: 1.758

3.  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

4.  Slow depolarizing and hyperpolarizing currents which mediate bursting in Aplysia neurone R15.

Authors:  W B Adams
Journal:  J Physiol       Date:  1985-03       Impact factor: 5.182

5.  Theoretical model of slow-wave membrane potential oscillations in molluscan neurons.

Authors:  S L Mironov
Journal:  Neuroscience       Date:  1983-11       Impact factor: 3.590

Review 6.  Inactivation of Ca channels.

Authors:  R Eckert; J E Chad
Journal:  Prog Biophys Mol Biol       Date:  1984       Impact factor: 3.667

7.  Abnormal discharges and chaos in a neuronal model system.

Authors:  T R Chay
Journal:  Biol Cybern       Date:  1984       Impact factor: 2.086

8.  Bifurcation and resonance in a model for bursting nerve cells.

Authors:  R E Plant
Journal:  J Math Biol       Date:  1981-01       Impact factor: 2.259

9.  On repetitive activity in nerve.

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

10.  Calcium-dependent inward current in Aplysia bursting pace-maker neurones.

Authors:  R H Kramer; R S Zucker
Journal:  J Physiol       Date:  1985-05       Impact factor: 5.182

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  42 in total

1.  Synaptic patterning of left-right alternation in a computational model of the rodent hindlimb central pattern generator.

Authors:  William Erik Sherwood; Ronald Harris-Warrick; John Guckenheimer
Journal:  J Comput Neurosci       Date:  2010-07-20       Impact factor: 1.621

2.  Mechanism, dynamics, and biological existence of multistability in a large class of bursting neurons.

Authors:  Jonathan P Newman; Robert J Butera
Journal:  Chaos       Date:  2010-06       Impact factor: 3.642

3.  Dynamical analysis of periodic bursting in piece-wise linear planar neuron model.

Authors:  Ying Ji; Xiaofang Zhang; Minjie Liang; Tingting Hua; Yawei Wang
Journal:  Cogn Neurodyn       Date:  2015-07-15       Impact factor: 5.082

4.  Parameter estimation for bursting neural models.

Authors:  Joseph H Tien; John Guckenheimer
Journal:  J Comput Neurosci       Date:  2007-11-13       Impact factor: 1.621

5.  On the dynamics of bursting systems.

Authors:  J C Alexander; D Y Cai
Journal:  J Math Biol       Date:  1991       Impact factor: 2.259

6.  A generalized linear integrate-and-fire neural model produces diverse spiking behaviors.

Authors:  Stefan Mihalaş; Ernst Niebur
Journal:  Neural Comput       Date:  2009-03       Impact factor: 2.026

7.  Dispersion and time delay effects in synchronized spike-burst networks.

Authors:  Viktor K Jirsa
Journal:  Cogn Neurodyn       Date:  2007-10-16       Impact factor: 5.082

8.  On the relationship between the number of negative slope regions in the voltage-current curve of the Hodgkin-Huxley model and its parameter values.

Authors:  Y A Bedrov; G N Akoev; O E Dick
Journal:  Biol Cybern       Date:  1995-07       Impact factor: 2.086

9.  Model predictions of myoelectrical activity of the small bowel.

Authors:  R N Miftakhov; G R Abdusheva; D L Wingate
Journal:  Biol Cybern       Date:  1996-02       Impact factor: 2.086

10.  Intrinsic and network rhythmogenesis in a reduced Traub model for CA3 neurons.

Authors:  P F Pinsky; J Rinzel
Journal:  J Comput Neurosci       Date:  1994-06       Impact factor: 1.621

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