Literature DB >> 11290076

Transmission of noise coded versus additive signals through a neuronal ensemble.

B Lindner1, L Schimansky-Geier.   

Abstract

Neuronal populations receive signals through temporally inhomogeneous spike trains which can be approximated by an input consisting of a time dependent mean value (additive signal) and noise with a time dependent intensity (noise coded signal). We compare the linear response of an ensemble of model neurons to these signals. Our analytical solution for the mean activity demonstrates the high efficiency of the transmission of a noise coded signal in a broad frequency band. For both kinds of signal we show that the transmission by the ensemble reveals stochastic resonance as well as a nonmonotonous dependence on the driving frequency.

Mesh:

Year:  2001        PMID: 11290076     DOI: 10.1103/PhysRevLett.86.2934

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


  34 in total

1.  Dynamics of the instantaneous firing rate in response to changes in input statistics.

Authors:  Nicolas Fourcaud-Trocmé; Nicolas Brunel
Journal:  J Comput Neurosci       Date:  2005-06       Impact factor: 1.621

2.  Action potential onset dynamics and the response speed of neuronal populations.

Authors:  B Naundorf; T Geisel; F Wolf
Journal:  J Comput Neurosci       Date:  2005-06       Impact factor: 1.621

3.  Delayed excitatory and inhibitory feedback shape neural information transmission.

Authors:  Maurice J Chacron; André Longtin; Leonard Maler
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2005-11-14

4.  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

Review 5.  The mechanics of state-dependent neural correlations.

Authors:  Brent Doiron; Ashok Litwin-Kumar; Robert Rosenbaum; Gabriel K Ocker; Krešimir Josić
Journal:  Nat Neurosci       Date:  2016-03       Impact factor: 24.884

6.  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

Review 7.  Cortical Specializations Underlying Fast Computations.

Authors:  Maxim Volgushev
Journal:  Neuroscientist       Date:  2015-02-17       Impact factor: 7.519

8.  Coding of time-dependent stimuli in homogeneous and heterogeneous neural populations.

Authors:  Manuel Beiran; Alexandra Kruscha; Jan Benda; Benjamin Lindner
Journal:  J Comput Neurosci       Date:  2017-12-08       Impact factor: 1.621

9.  Equilibrium and Response Properties of the Integrate-and-Fire Neuron in Discrete Time.

Authors:  Moritz Helias; Moritz Deger; Markus Diesmann; Stefan Rotter
Journal:  Front Comput Neurosci       Date:  2010-01-04       Impact factor: 2.380

10.  Instantaneous non-linear processing by pulse-coupled threshold units.

Authors:  Moritz Helias; Moritz Deger; Stefan Rotter; Markus Diesmann
Journal:  PLoS Comput Biol       Date:  2010-09-09       Impact factor: 4.475

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