The Gamma renewal process as an output of the diffusion leaky integrate-and-fire neuronal model-Reference-Cited by-同舟云学术

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The Gamma renewal process as an output of the diffusion leaky integrate-and-fire neuronal model

Published:2016-05-31 Issue:2-3 Volume:110 Page:193-200
ISSN:0340-1200
Container-title:Biological Cybernetics
language:en
Short-container-title:Biol Cybern

Author:

Lansky Petr,Sacerdote Laura,Zucca Cristina

Funder

Ústav živocišné fyziologie a genetiky AV CR (CZ)

Czech Science Foundation (CZ)

University of Torino

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science,Biotechnology

Link

http://link.springer.com/content/pdf/10.1007/s00422-016-0690-x.pdf

Reference48 articles.

1. Abundo M (2012) An inverse first-passage problem for one-dimensional diffusions with random starting point. Stat Probab Lett 82:7–14

2. Atkinson KE (1989) An introduction to numerical analysis, 2nd edn. Wiley, New York

3. Avila-Akeberg O, Chacron MJ (2011) Nonrenewal spike train statistics: causes and functional consequences on neural coding. Exp Brain Res 210:353–371

4. Baker SN, Lemon RN (2000) Precise spatiotemporal repeating patterns in monkey primary and supplementary motor areas occur at chance levels. J Neurophysiol 84:1770–1780

5. Benda J, Maler L, Longtin A (2010) Linear versus nonlinear signal transmission in neuron models with adaptation currents or dynamic threshold. J Neurophysiol 104:2806–2820

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