Literature DB >> 12513181

Response of spiking neurons to correlated inputs.

Rubén Moreno1, Jaime de la Rocha, Alfonso Renart, Néstor Parga.   

Abstract

The effect of a temporally correlated afferent current on the firing rate of a leaky integrate-and-fire neuron is studied. This current is characterized in terms of rates, autocorrelations, and cross correlations, and correlation time scale tau(c) of excitatory and inhibitory inputs. The output rate nu(out) is calculated in the Fokker-Planck formalism in the limit of both small and large tau(c) compared to the membrane time constant tau of the neuron. By simulations we check the analytical results, provide an interpolation valid for all tau(c), and study the neuron's response to rapid changes in the correlation magnitude.

Year:  2002        PMID: 12513181     DOI: 10.1103/PhysRevLett.89.288101

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  34 in total

1.  An analytical model for the "large, fluctuating synaptic conductance state" typical of neocortical neurons in vivo.

Authors:  Hamish Meffin; Anthony N Burkitt; David B Grayden
Journal:  J Comput Neurosci       Date:  2004 Mar-Apr       Impact factor: 1.621

2.  Noise-induced alternations in an attractor network model of perceptual bistability.

Authors:  Rubén Moreno-Bote; John Rinzel; Nava Rubin
Journal:  J Neurophysiol       Date:  2007-07-05       Impact factor: 2.714

3.  Two computational regimes of a single-compartment neuron separated by a planar boundary in conductance space.

Authors:  Brian Nils Lundstrom; Sungho Hong; Matthew H Higgs; Adrienne L Fairhall
Journal:  Neural Comput       Date:  2008-05       Impact factor: 2.026

4.  Sensitivity of firing rate to input fluctuations depends on time scale separation between fast and slow variables in single neurons.

Authors:  Brian Nils Lundstrom; Michael Famulare; Larry B Sorensen; William J Spain; Adrienne L Fairhall
Journal:  J Comput Neurosci       Date:  2009-04-08       Impact factor: 1.621

5.  A kinetic theory approach to capturing interneuronal correlation: the feed-forward case.

Authors:  Chin-Yueh Liu; Duane Q Nykamp
Journal:  J Comput Neurosci       Date:  2008-11-06       Impact factor: 1.621

6.  Peripheral chemoreceptors tune inspiratory drive via tonic expiratory neuron hubs in the medullary ventral respiratory column network.

Authors:  L S Segers; S C Nuding; M M Ott; J B Dean; D C Bolser; R O'Connor; K F Morris; B G Lindsey
Journal:  J Neurophysiol       Date:  2014-10-15       Impact factor: 2.714

7.  Exact analytical results for integrate-and-fire neurons driven by excitatory shot noise.

Authors:  Felix Droste; Benjamin Lindner
Journal:  J Comput Neurosci       Date:  2017-06-06       Impact factor: 1.621

8.  Short-term synaptic depression and stochastic vesicle dynamics reduce and shape neuronal correlations.

Authors:  Robert Rosenbaum; Jonathan E Rubin; Brent Doiron
Journal:  J Neurophysiol       Date:  2012-10-31       Impact factor: 2.714

9.  Impact of correlated inputs to neurons: modeling observations from in vivo intracellular recordings.

Authors:  Man Yi Yim; Arvind Kumar; Ad Aertsen; Stefan Rotter
Journal:  J Comput Neurosci       Date:  2014-05-03       Impact factor: 1.621

10.  Recurrent network models for perfect temporal integration of fluctuating correlated inputs.

Authors:  Hiroshi Okamoto; Tomoki Fukai
Journal:  PLoS Comput Biol       Date:  2009-06-05       Impact factor: 4.475

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