Literature DB >> 8334193

A basic biophysical model for bursting neurons.

E Av-Ron1, H Parnas, L A Segel.   

Abstract

Presented here is a basic biophysical cell model for bursting, an extension of our previous model (Av-Ron et al. 1991) for excitability and oscillations. By changing a limited set of model parameters, one can describe different patterns of bursting behavior in terms of the burst cycle, the durations of oscillation and quiescence, and firing frequency.

Mesh:

Year:  1993        PMID: 8334193     DOI: 10.1007/bf00201411

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


  8 in total

1.  Diverse forms of activity in the somata of spontaneous and integrating ganglion cells.

Authors:  T H BULLOCK; C A TERZUOLO
Journal:  J Physiol       Date:  1957-10-30       Impact factor: 5.182

2.  A quantitative description of membrane current and its application to conduction and excitation in nerve.

Authors:  A L HODGKIN; A F HUXLEY
Journal:  J Physiol       Date:  1952-08       Impact factor: 5.182

3.  Impulses and Physiological States in Theoretical Models of Nerve Membrane.

Authors:  R Fitzhugh
Journal:  Biophys J       Date:  1961-07       Impact factor: 4.033

4.  Excitation dynamics: insights from simplified membrane models.

Authors:  J Rinzel
Journal:  Fed Proc       Date:  1985-12

5.  A minimal biophysical model for an excitable and oscillatory neuron.

Authors:  E Av-Ron; H Parnas; L A Segel
Journal:  Biol Cybern       Date:  1991       Impact factor: 2.086

6.  Dissection of a model for neuronal parabolic bursting.

Authors:  J Rinzel; Y S Lee
Journal:  J Math Biol       Date:  1987       Impact factor: 2.259

7.  Ca2+-activated K+ channels in erythrocytes and excitable cells.

Authors:  W Schwarz; H Passow
Journal:  Annu Rev Physiol       Date:  1983       Impact factor: 19.318

8.  The effects of calcium++ on bursting neurons. A modeling study.

Authors:  R E Plant
Journal:  Biophys J       Date:  1978-03       Impact factor: 4.033

  8 in total
  19 in total

1.  Epileptic seizures from abnormal networks: why some seizures defy predictability.

Authors:  William S Anderson; Feraz Azhar; Pawel Kudela; Gregory K Bergey; Piotr J Franaszczuk
Journal:  Epilepsy Res       Date:  2011-12-12       Impact factor: 3.045

2.  Type I burst excitability.

Authors:  Carlo R Laing; Brent Doiron; André Longtin; Liza Noonan; Ray W Turner; Leonard Maler
Journal:  J Comput Neurosci       Date:  2003 May-Jun       Impact factor: 1.621

3.  Oscillations and slow patterning in the antennal lobe.

Authors:  Ehud Sivan; Nancy Kopell
Journal:  J Comput Neurosci       Date:  2006-02-20       Impact factor: 1.621

4.  Studies of stimulus parameters for seizure disruption using neural network simulations.

Authors:  William S Anderson; Pawel Kudela; Jounhong Cho; Gregory K Bergey; Piotr J Franaszczuk
Journal:  Biol Cybern       Date:  2007-07-07       Impact factor: 2.086

5.  Neuronal Network Models for Sensory Discrimination.

Authors:  Mohammad Samavat; Dori Luli; Sharon Crook
Journal:  Conf Rec Asilomar Conf Signals Syst Comput       Date:  2017-03-06

6.  Evidence for a novel bursting mechanism in rodent trigeminal neurons.

Authors:  C A Del Negro; C F Hsiao; S H Chandler; A Garfinkel
Journal:  Biophys J       Date:  1998-07       Impact factor: 4.033

7.  Relationship between burst properties and sensitivity to input: a theoretical analysis.

Authors:  E Sivan; H Parnas; D Dolev
Journal:  J Comput Neurosci       Date:  1996-03       Impact factor: 1.621

8.  Predicting single-neuron activity in locally connected networks.

Authors:  Feraz Azhar; William S Anderson
Journal:  Neural Comput       Date:  2012-07-30       Impact factor: 2.026

9.  Phase-dependent stimulation effects on bursting activity in a neural network cortical simulation.

Authors:  William S Anderson; Pawel Kudela; Seth Weinberg; Gregory K Bergey; Piotr J Franaszczuk
Journal:  Epilepsy Res       Date:  2009-01-29       Impact factor: 3.045

10.  Mechanisms explaining transitions between tonic and phasic firing in neuronal populations as predicted by a low dimensional firing rate model.

Authors:  Anca R Radulescu
Journal:  PLoS One       Date:  2010-09-22       Impact factor: 3.240

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