Literature DB >> 26945993

Weakly coupled oscillators in a slowly varying world.

Youngmin Park1, Bard Ermentrout2.   

Abstract

We extend the theory of weakly coupled oscillators to incorporate slowly varying inputs and parameters. We employ a combination of regular perturbation and an adiabatic approximation to derive equations for the phase-difference between a pair of oscillators. We apply this to the simple Hopf oscillator and then to a biophysical model. The latter represents the behavior of a neuron that is subject to slow modulation of a muscarinic current such as would occur during transient attention through cholinergic activation. Our method extends and simplifies the recent work of Kurebayashi (Physical Review Letters, 111, 214101, 2013) to include coupling. We apply the method to an all-to-all network and show that there is a waxing and waning of synchrony of modulated neurons.

Keywords:  Modulation; Oscillators; Slowly varying parameters; Traub model; Weak coupling

Mesh:

Year:  2016        PMID: 26945993     DOI: 10.1007/s10827-016-0596-6

Source DB:  PubMed          Journal:  J Comput Neurosci        ISSN: 0929-5313            Impact factor:   1.621


  18 in total

1.  The effects of spike frequency adaptation and negative feedback on the synchronization of neural oscillators.

Authors:  B Ermentrout; M Pascal; B Gutkin
Journal:  Neural Comput       Date:  2001-06       Impact factor: 2.026

2.  Electrical synapses and synchrony: the role of intrinsic currents.

Authors:  Benjamin Pfeuty; Germán Mato; David Golomb; David Hansel
Journal:  J Neurosci       Date:  2003-07-16       Impact factor: 6.167

3.  On the phase reduction and response dynamics of neural oscillator populations.

Authors:  Eric Brown; Jeff Moehlis; Philip Holmes
Journal:  Neural Comput       Date:  2004-04       Impact factor: 2.026

4.  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

5.  Synchrony of neuronal oscillations controlled by GABAergic reversal potentials.

Authors:  Ho Young Jeong; Boris Gutkin
Journal:  Neural Comput       Date:  2007-03       Impact factor: 2.026

6.  Optimal time scale for spike-time reliability: theory, simulations, and experiments.

Authors:  Roberto F Galán; G Bard Ermentrout; Nathaniel N Urban
Journal:  J Neurophysiol       Date:  2007-10-10       Impact factor: 2.714

7.  Gamma oscillation by synaptic inhibition in a hippocampal interneuronal network model.

Authors:  X J Wang; G Buzsáki
Journal:  J Neurosci       Date:  1996-10-15       Impact factor: 6.167

Review 8.  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

9.  Cellular mechanisms underlying cholinergic and noradrenergic modulation of neuronal firing mode in the cat and guinea pig dorsal lateral geniculate nucleus.

Authors:  D A McCormick
Journal:  J Neurosci       Date:  1992-01       Impact factor: 6.167

10.  Cholinergic neuromodulation changes phase response curve shape and type in cortical pyramidal neurons.

Authors:  Klaus M Stiefel; Boris S Gutkin; Terrence J Sejnowski
Journal:  PLoS One       Date:  2008-12-16       Impact factor: 3.240

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  3 in total

1.  Greater accuracy and broadened applicability of phase reduction using isostable coordinates.

Authors:  Dan Wilson; Bard Ermentrout
Journal:  J Math Biol       Date:  2017-05-25       Impact factor: 2.259

2.  On the concept of dynamical reduction: the case of coupled oscillators.

Authors:  Yoshiki Kuramoto; Hiroya Nakao
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2019-10-28       Impact factor: 4.226

3.  Synchronization transitions caused by time-varying coupling functions.

Authors:  Zeray Hagos; Tomislav Stankovski; Julian Newman; Tiago Pereira; Peter V E McClintock; Aneta Stefanovska
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2019-10-28       Impact factor: 4.226

  3 in total

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