Literature DB >> 27891205

The membrane potential process of a single neuron seen as a cumulative damage process.

Mauricio Tejo1, Sebastián Niklitschek-Soto2.   

Abstract

A simple integrate-and-fire mechanism of a single neuron can be compared with a cumulative damage process, where the spiking process is analogous to rupture sequences of a material under cycles of stress. Although in some cases lognormal-like patterns can be recognized in the inter-spike times under a simple integrate-and-fire mechanism, fatigue life models as the inverse Gaussian distribution and the Birnbaum-Saunders distribution (which was recently introduced in the neural activity framework) provide theoretical arguments that make them more suitable for the modeling of the resulting inter-spike times.

Entities:  

Keywords:  Integrate-and-fire model; Inter-spike distribution; Inverse Gaussian and Birnbaum–Saunders distributions; Lognormal

Year:  2016        PMID: 27891205      PMCID: PMC5106455          DOI: 10.1007/s11571-016-9400-6

Source DB:  PubMed          Journal:  Cogn Neurodyn        ISSN: 1871-4080            Impact factor:   5.082


  3 in total

1.  Lognormal distribution of firing time and rate from a single neuron?

Authors:  Eszter A Kish; Claes-Göran Granqvist; András Dér; Laszlo B Kish
Journal:  Cogn Neurodyn       Date:  2015-01-25       Impact factor: 5.082

2.  Modulation of synchrony without changes in firing rates.

Authors:  Jakob Heinzle; Peter König; Rodrigo F Salazar
Journal:  Cogn Neurodyn       Date:  2007-07-14       Impact factor: 5.082

Review 3.  Modeling neural activity with cumulative damage distributions.

Authors:  Víctor Leiva; Mauricio Tejo; Pierre Guiraud; Oliver Schmachtenberg; Patricio Orio; Fernando Marmolejo-Ramos
Journal:  Biol Cybern       Date:  2015-05-22       Impact factor: 2.086

  3 in total
  1 in total

1.  Fatigue-life distributions for reaction time data.

Authors:  Mauricio Tejo; Sebastián Niklitschek-Soto; Fernando Marmolejo-Ramos
Journal:  Cogn Neurodyn       Date:  2018-01-10       Impact factor: 5.082

  1 in total

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