Literature DB >> 18233721

Stochastic dynamics of uncoupled neural oscillators: Fokker-Planck studies with the finite element method.

Roberto F Galán1, G Bard Ermentrout, Nathaniel N Urban.   

Abstract

We have investigated the effect of the phase response curve on the dynamics of oscillators driven by noise in two limit cases that are especially relevant for neuroscience. Using the finite element method to solve the Fokker-Planck equation we have studied (i) the impact of noise on the regularity of the oscillations quantified as the coefficient of variation, (ii) stochastic synchronization of two uncoupled phase oscillators driven by correlated noise, and (iii) their cross-correlation function. We show that, in general, the limit of type II oscillators is more robust to noise and more efficient at synchronizing by correlated noise than type I.

Year:  2007        PMID: 18233721      PMCID: PMC3010866          DOI: 10.1103/PhysRevE.76.056110

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  10 in total

1.  Firing statistics of a neuron model driven by long-range correlated noise.

Authors:  J W Middleton; M J Chacron; B Lindner; A Longtin
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2003-08-28

2.  Constructive role of noise: Fast fluctuation asymptotics of transport in stochastic ratchets.

Authors:  Charles R. Doering; Lubomira A. Dontcheva; Malgorzata M. Klosek
Journal:  Chaos       Date:  1998-09       Impact factor: 3.642

3.  Robustness of the noise-induced phase synchronization in a general class of limit cycle oscillators.

Authors:  Jun-Nosuke Teramae; Dan Tanaka
Journal:  Phys Rev Lett       Date:  2004-11-12       Impact factor: 9.161

4.  Efficient estimation of phase-resetting curves in real neurons and its significance for neural-network modeling.

Authors:  Roberto F Galán; G Bard Ermentrout; Nathaniel N Urban
Journal:  Phys Rev Lett       Date:  2005-04-19       Impact factor: 9.161

5.  Molecular communication through stochastic synchronization induced by extracellular fluctuations.

Authors:  Tianshou Zhou; Luonan Chen; Kazuyuki Aihara
Journal:  Phys Rev Lett       Date:  2005-10-19       Impact factor: 9.161

6.  Correlation-induced synchronization of oscillations in olfactory bulb neurons.

Authors:  Roberto F Galán; Nicolas Fourcaud-Trocmé; G Bard Ermentrout; Nathaniel N Urban
Journal:  J Neurosci       Date:  2006-04-05       Impact factor: 6.167

7.  Biological physics: harmonies from noise.

Authors:  Michael Springer; Johan Paulsson
Journal:  Nature       Date:  2006-01-05       Impact factor: 49.962

8.  Rate coding and spike-time variability in cortical neurons with two types of threshold dynamics.

Authors:  T Tateno; H P C Robinson
Journal:  J Neurophysiol       Date:  2006-04       Impact factor: 2.714

9.  Reliability of spike timing in neocortical neurons.

Authors:  Z F Mainen; T J Sejnowski
Journal:  Science       Date:  1995-06-09       Impact factor: 47.728

10.  Integrate-and-fire neurons driven by correlated stochastic input.

Authors:  Emilio Salinas; Terrence J Sejnowski
Journal:  Neural Comput       Date:  2002-09       Impact factor: 2.026

  10 in total
  17 in total

1.  A-current and type I/type II transition determine collective spiking from common input.

Authors:  Andrea K Barreiro; Evan L Thilo; Eric Shea-Brown
Journal:  J Neurophysiol       Date:  2012-06-06       Impact factor: 2.714

Review 2.  Neurophysiological and computational principles of cortical rhythms in cognition.

Authors:  Xiao-Jing Wang
Journal:  Physiol Rev       Date:  2010-07       Impact factor: 37.312

3.  Synchronization dynamics of two coupled neural oscillators receiving shared and unshared noisy stimuli.

Authors:  Cheng Ly; G Bard Ermentrout
Journal:  J Comput Neurosci       Date:  2008-11-26       Impact factor: 1.621

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

5.  Finite volume and asymptotic methods for stochastic neuron models with correlated inputs.

Authors:  Robert Rosenbaum; Fabien Marpeau; Jianfu Ma; Aditya Barua; Krešimir Josić
Journal:  J Math Biol       Date:  2011-06-30       Impact factor: 2.259

6.  Intrinsic heterogeneity in oscillatory dynamics limits correlation-induced neural synchronization.

Authors:  Shawn D Burton; G Bard Ermentrout; Nathaniel N Urban
Journal:  J Neurophysiol       Date:  2012-07-18       Impact factor: 2.714

7.  Hippocampal CA1 pyramidal neurons exhibit type 1 phase-response curves and type 1 excitability.

Authors:  Shuoguo Wang; Maximilian M Musharoff; Carmen C Canavier; Sonia Gasparini
Journal:  J Neurophysiol       Date:  2013-03-06       Impact factor: 2.714

8.  Quantifying interactions between real oscillators with information theory and phase models: application to cardiorespiratory coupling.

Authors:  Yenan Zhu; Yee-Hsee Hsieh; Rishi R Dhingra; Thomas E Dick; Frank J Jacono; Roberto F Galán
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2013-02-13

Review 9.  Reliability, synchrony and noise.

Authors:  G Bard Ermentrout; Roberto F Galán; Nathaniel N Urban
Journal:  Trends Neurosci       Date:  2008-07-05       Impact factor: 13.837

10.  Evaluation of the oscillatory interference model of grid cell firing through analysis and measured period variance of some biological oscillators.

Authors:  Eric A Zilli; Motoharu Yoshida; Babak Tahvildari; Lisa M Giocomo; Michael E Hasselmo
Journal:  PLoS Comput Biol       Date:  2009-11-20       Impact factor: 4.475

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