Literature DB >> 28562223

Effect of Phase Response Curve Shape and Synaptic Driving Force on Synchronization of Coupled Neuronal Oscillators.

Ramana Dodla1, Charles J Wilson2.   

Abstract

The role of the phase response curve (PRC) shape on the synchrony of synaptically coupled oscillating neurons is examined. If the PRC is independent of the phase, because of the synaptic form of the coupling, synchrony is found to be stable for both excitatory and inhibitory coupling at all rates, whereas the antisynchrony becomes stable at low rates. A faster synaptic rise helps extend the stability of antisynchrony to higher rates. If the PRC is not constant but has a profile like that of a leaky integrate-and-fire model, then, in contrast to the earlier reports that did not include the voltage effects, mutual excitation could lead to stable synchrony provided the synaptic reversal potential is below the voltage level the neuron would have reached in the absence of the interaction and threshold reset. This level is controlled by the applied current and the leakage parameters. Such synchrony is contingent on significant phase response (that would result, for example, by a sharp PRC jump) occurring during the synaptic rising phase. The rising phase, however, does not contribute significantly if it occurs before the voltage spike reaches its peak. Then a stable near-synchronous state can still exist between type 1 PRC neurons if the PRC shows a left skewness in its shape. These results are examined comprehensively using perfect integrate-and-fire, leaky integrate-and-fire, and skewed PRC shapes under the assumption of the weakly coupled oscillator theory applied to synaptically coupled neuron models.

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Year:  2017        PMID: 28562223      PMCID: PMC5600170          DOI: 10.1162/NECO_a_00978

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


  58 in total

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Authors:  E Salinas; T J Sejnowski
Journal:  J Neurosci       Date:  2000-08-15       Impact factor: 6.167

Review 4.  Synaptic organisation of the basal ganglia.

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Journal:  J Anat       Date:  2000-05       Impact factor: 2.610

5.  Correlation between uncoupled conductance-based integrate-and-fire neurons due to common and synchronous presynaptic firing.

Authors:  S Stroeve; S Gielen
Journal:  Neural Comput       Date:  2001-09       Impact factor: 2.026

Review 6.  Dynamic predictions: oscillations and synchrony in top-down processing.

Authors:  A K Engel; P Fries; W Singer
Journal:  Nat Rev Neurosci       Date:  2001-10       Impact factor: 34.870

7.  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

8.  Pattern of synchrony in inhomogeneous networks of oscillators with pulse interactions.

Authors: 
Journal:  Phys Rev Lett       Date:  1993-08-23       Impact factor: 9.161

9.  Firing patterns and correlations of spontaneous discharge of pallidal neurons in the normal and the tremulous 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine vervet model of parkinsonism.

Authors:  A Raz; E Vaadia; H Bergman
Journal:  J Neurosci       Date:  2000-11-15       Impact factor: 6.167

10.  Mechanisms underlying spontaneous oscillation and rhythmic firing in rat subthalamic neurons.

Authors:  M D Bevan; C J Wilson
Journal:  J Neurosci       Date:  1999-09-01       Impact factor: 6.167

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  1 in total

1.  Predicting responses to inhibitory synaptic input in substantia nigra pars reticulata neurons.

Authors:  D V Simmons; M H Higgs; S Lebby; C J Wilson
Journal:  J Neurophysiol       Date:  2018-09-12       Impact factor: 2.714

  1 in total

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