Literature DB >> 15830163

The onset and extinction of neural spiking: a numerical bifurcation approach.

W Govaerts1, B Sautois.   

Abstract

We study the onset of neural spiking when the equilibrium rest state loses stability by the change of a critical parameter, the applied current. In the case of the well-known Morris-Lecar model, we start from a complete numerical study of the bifurcation diagram in the most relevant two-parameter range. This diagram includes all equilibrium and limit cycle bifurcations, thus correcting and completing earlier studies. We discuss and classify the behavior of the spiking orbits, when increasing or decreasing the applied current. A complete classification can be extracted from the complete bifurcation diagram. It is based on three components: bifurcation type of the equilibrium at the loss of stability, subcritical behavior in the limit of decreasing the applied current and supercritical behavior in the limit of increasing the applied current.

Mesh:

Year:  2005        PMID: 15830163     DOI: 10.1007/s10827-005-0328-9

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


  7 in total

1.  Patterns of synchrony in neural networks with spike adaptation.

Authors:  C van Vreeswijk; D Hansel
Journal:  Neural Comput       Date:  2001-05       Impact factor: 2.026

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Authors:  B Ermentrout; M Pascal; B Gutkin
Journal:  Neural Comput       Date:  2001-06       Impact factor: 2.026

3.  Bifurcation software in Matlab with applications in neuronal modeling.

Authors:  Willy Govaerts; Bart Sautois
Journal:  Comput Methods Programs Biomed       Date:  2005-02       Impact factor: 5.428

4.  The local electric changes associated with repetitive action in a non-medullated axon.

Authors:  A L Hodgkin
Journal:  J Physiol       Date:  1948-03-15       Impact factor: 5.182

5.  Type I membranes, phase resetting curves, and synchrony.

Authors:  B Ermentrout
Journal:  Neural Comput       Date:  1996-07-01       Impact factor: 2.026

6.  Spike frequency adaptation affects the synchronization properties of networks of cortical oscillations.

Authors:  S M Crook; G B Ermentrout; J M Bower
Journal:  Neural Comput       Date:  1998-05-15       Impact factor: 2.026

7.  Voltage oscillations in the barnacle giant muscle fiber.

Authors:  C Morris; H Lecar
Journal:  Biophys J       Date:  1981-07       Impact factor: 4.033

  7 in total
  2 in total

1.  Ion channel density regulates switches between regular and fast spiking in soma but not in axons.

Authors:  Hugo Zeberg; Clas Blomberg; Peter Arhem
Journal:  PLoS Comput Biol       Date:  2010-04-22       Impact factor: 4.475

2.  Fast-Slow Bursters in the Unfolding of a High Codimension Singularity and the Ultra-slow Transitions of Classes.

Authors:  Maria Luisa Saggio; Andreas Spiegler; Christophe Bernard; Viktor K Jirsa
Journal:  J Math Neurosci       Date:  2017-07-25       Impact factor: 1.300

  2 in total

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