Literature DB >> 7948220

Analysis of bursting in a thalamic neuron model.

M E Rush1, J Rinzel.   

Abstract

We extend a quantitative model for low-voltage, slow-wave excitability based on the T-type calcium current (Wang et al. 1991) by juxtaposing it with a Hodgkin-Huxley-like model for fast sodium spiking in the high voltage regime to account for the distinct firing modes of thalamic neurons. We employ bifurcation analysis to illustrate the stimulus-response behavior of the full model under both voltage regimes. The model neuron shows continuous sodium spiking when depolarized sufficiently from rest. Depending on the parameters of calcium current inactivation, there are two types of low-voltage responses to a hyperpolarizing current step: a single rebound low threshold spike (LTS) upon release of the step and periodic LTSs. Bursting is seen as sodium spikes ride the LTS crest. In both cases, we analyze the LTS burst response by projecting its trajectory into a fast/slow phase plane. We also use phase plane methods to show that a potassium A-current shifts the threshold for sodium spikes, reducing the number of fast sodium spikes in an LTS burst. It can also annihilate periodic bursting. We extend the previous work of Rose and Hindmarsh (1989a-c) for a thalamic neuron and propose a simpler model for thalamic activity. We consider burst modulation by using a neuromodulator-dependent potassium leakage conductance as a control parameter. These results correspond with experiments showing that the application of certain neurotransmitters can switch firing modes.

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Year:  1994        PMID: 7948220     DOI: 10.1007/bf00239616

Source DB:  PubMed          Journal:  Biol Cybern        ISSN: 0340-1200            Impact factor:   2.086


  28 in total

1.  A model of the T-type calcium current and the low-threshold spike in thalamic neurons.

Authors:  X J Wang; J Rinzel; M A Rogawski
Journal:  J Neurophysiol       Date:  1991-09       Impact factor: 2.714

2.  Simulation of the currents involved in rhythmic oscillations in thalamic relay neurons.

Authors:  J R Huguenard; D A McCormick
Journal:  J Neurophysiol       Date:  1992-10       Impact factor: 2.714

3.  Calcium currents in rat thalamocortical relay neurones: kinetic properties of the transient, low-threshold current.

Authors:  D A Coulter; J R Huguenard; D A Prince
Journal:  J Physiol       Date:  1989-07       Impact factor: 5.182

4.  Modulation of a transient outward current in serotonergic neurones by alpha 1-adrenoceptors.

Authors:  G K Aghajanian
Journal:  Nature       Date:  1985 Jun 6-12       Impact factor: 49.962

5.  The assembly of ionic currents in a thalamic neuron. II. The stability and state diagrams.

Authors:  R M Rose; J L Hindmarsh
Journal:  Proc R Soc Lond B Biol Sci       Date:  1989-08-22

6.  The assembly of ionic currents in a thalamic neuron. I. The three-dimensional model.

Authors:  R M Rose; J L Hindmarsh
Journal:  Proc R Soc Lond B Biol Sci       Date:  1989-08-22

7.  [Analysis of the equations of excitable membranes. I. Reduction of the Hodgkins-Huxley equations to a 2d order system].

Authors:  V I Krinskiĭ; Iu M Kokoz
Journal:  Biofizika       Date:  1973 May-Jun

8.  Excitability with multiple thresholds. A new mode of dynamic behavior analyzed in a regulated biochemical system.

Authors:  F Moran; A Goldbeter
Journal:  Biophys Chem       Date:  1985-11       Impact factor: 2.352

9.  A T-type Ca2+ current underlies low-threshold Ca2+ potentials in cells of the cat and rat lateral geniculate nucleus.

Authors:  V Crunelli; S Lightowler; C E Pollard
Journal:  J Physiol       Date:  1989-06       Impact factor: 5.182

10.  Computer model of ethosuximide's effect on a thalamic neuron.

Authors:  W W Lytton; T J Sejnowski
Journal:  Ann Neurol       Date:  1992-08       Impact factor: 10.422

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  12 in total

1.  Subthreshold membrane conductances enhance directional selectivity in vertebrate sensory neurons.

Authors:  Maurice J Chacron; Eric S Fortune
Journal:  J Neurophysiol       Date:  2010-05-05       Impact factor: 2.714

2.  Lock-and-key mechanisms of cerebellar memory recall based on rebound currents.

Authors:  Daniel Z Wetmore; Eran A Mukamel; Mark J Schnitzer
Journal:  J Neurophysiol       Date:  2007-08-01       Impact factor: 2.714

3.  Feedback inhibition and throughput properties of an integrate-and-fire-or-burst network model of retinogeniculate transmission.

Authors:  Marco A Huertas; Jeffrey R Groff; Gregory D Smith
Journal:  J Comput Neurosci       Date:  2005-10       Impact factor: 1.621

4.  Coding movement direction by burst firing in electrosensory neurons.

Authors:  Navid Khosravi-Hashemi; Eric S Fortune; Maurice J Chacron
Journal:  J Neurophysiol       Date:  2011-07-20       Impact factor: 2.714

5.  Dissection and reduction of a modeled bursting neuron.

Authors:  R J Butera; J W Clark; J H Byrne
Journal:  J Comput Neurosci       Date:  1996-09       Impact factor: 1.621

6.  Dynamical properties of firing patterns in ELL pyramidal neuron under external electric field stimulus.

Authors:  Lei Wang; Shenquan Liu; Linlin Zhang; Yanjun Zeng
Journal:  Neurol Sci       Date:  2012-12-18       Impact factor: 3.307

7.  The interplay of seven subthreshold conductances controls the resting membrane potential and the oscillatory behavior of thalamocortical neurons.

Authors:  Yimy Amarillo; Edward Zagha; German Mato; Bernardo Rudy; Marcela S Nadal
Journal:  J Neurophysiol       Date:  2014-04-23       Impact factor: 2.714

8.  Robust and tunable bursting requires slow positive feedback.

Authors:  Alessio Franci; Guillaume Drion; Rodolphe Sepulchre
Journal:  J Neurophysiol       Date:  2017-12-13       Impact factor: 2.714

9.  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

10.  Bursts and isolated spikes code for opposite movement directions in midbrain electrosensory neurons.

Authors:  Navid Khosravi-Hashemi; Maurice J Chacron
Journal:  PLoS One       Date:  2012-06-29       Impact factor: 3.240

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