Literature DB >> 16771657

Comment on "Characterization of subthreshold voltage fluctuations in neuronal membranes," by M. Rudolph and A. Destexhe.

Benjamin Lindner1, André Longtin.   

Abstract

In two recent articles, Rudolph and Destexhe (2003, 2005) studied a leaky integrator model (an RC-circuit) driven by correlated ("colored") gaussian conductance noise and Gaussian current noise. In the first article, they derived an expression for the stationary probability density of the membrane voltage; in the second, they modified this expression to cover a larger parameter regime. Here we show by standard analysis of solvable limit cases (white noise limit of additive and multiplicative noise sources; only slow multiplicative noise; only additive noise) and by numerical simulations that their first result does not hold for the general colored-noise case and uncover the errors made in the derivation of a Fokker-Planck equation for the probability density. Furthermore, we demonstrate analytically (including an exact integral expression for the time-dependent mean value of the voltage) and by comparison to simulation results that the extended expression for the probability density works much better but still does not exactly solve the full colored-noise problem. We also show that at stronger synaptic input, the stationary mean value of the linear voltage model may diverge and give an exact condition relating the system parameters for which this takes place.

Mesh:

Year:  2006        PMID: 16771657     DOI: 10.1162/neco.2006.18.8.1896

Source DB:  PubMed          Journal:  Neural Comput        ISSN: 0899-7667            Impact factor:   2.026


  7 in total

1.  Estimating three synaptic conductances in a stochastic neural model.

Authors:  Stephen E Odom; Alla Borisyuk
Journal:  J Comput Neurosci       Date:  2012-02-11       Impact factor: 1.621

2.  A finite volume method for stochastic integrate-and-fire models.

Authors:  Fabien Marpeau; Aditya Barua; Kresimir Josić
Journal:  J Comput Neurosci       Date:  2008-12-09       Impact factor: 1.621

3.  Effects of noise on models of spiny dendrites.

Authors:  Emma J Coutts; Gabriel J Lord
Journal:  J Comput Neurosci       Date:  2012-08-16       Impact factor: 1.621

4.  Inhibitory "noise".

Authors:  Alain Destexhe
Journal:  Front Cell Neurosci       Date:  2010-03-31       Impact factor: 5.505

5.  Slow Resting State Fluctuations Enhance Neuronal and Behavioral Responses to Looming Sounds.

Authors:  B Sancristóbal; F Ferri; A Longtin; M G Perrucci; G L Romani; G Northoff
Journal:  Brain Topogr       Date:  2021-03-25       Impact factor: 3.020

6.  A Diffusion Approximation and Numerical Methods for Adaptive Neuron Models with Stochastic Inputs.

Authors:  Robert Rosenbaum
Journal:  Front Comput Neurosci       Date:  2016-04-22       Impact factor: 2.380

7.  Recurrence-mediated suprathreshold stochastic resonance.

Authors:  Gregory Knoll; Benjamin Lindner
Journal:  J Comput Neurosci       Date:  2021-05-18       Impact factor: 1.621

  7 in total

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