Literature DB >> 21344300

Effects of conduction delays on the existence and stability of one to one phase locking between two pulse-coupled oscillators.

Michael Marmaduke Woodman1, Carmen C Canavier.   

Abstract

Gamma oscillations can synchronize with near zero phase lag over multiple cortical regions and between hemispheres, and between two distal sites in hippocampal slices. How synchronization can take place over long distances in a stable manner is considered an open question. The phase resetting curve (PRC) keeps track of how much an input advances or delays the next spike, depending upon where in the cycle it is received. We use PRCs under the assumption of pulsatile coupling to derive existence and stability criteria for 1:1 phase-locking that arises via bidirectional pulse coupling of two limit cycle oscillators with a conduction delay of any duration for any 1:1 firing pattern. The coupling can be strong as long as the effect of one input dissipates before the next input is received. We show the form that the generic synchronous and anti-phase solutions take in a system of two identical, identically pulse-coupled oscillators with identical delays. The stability criterion has a simple form that depends only on the slopes of the PRCs at the phases at which inputs are received and on the number of cycles required to complete the delayed feedback loop. The number of cycles required to complete the delayed feedback loop depends upon both the value of the delay and the firing pattern. We successfully tested the predictions of our methods on networks of model neurons. The criteria can easily be extended to include the effect of an input on the cycle after the one in which it is received.

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Mesh:

Year:  2011        PMID: 21344300      PMCID: PMC3130804          DOI: 10.1007/s10827-011-0315-2

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


  39 in total

1.  Coexistence of regular and irregular dynamics in complex networks of pulse-coupled oscillators.

Authors:  Marc Timme; Fred Wolf; Theo Geisel
Journal:  Phys Rev Lett       Date:  2002-11-27       Impact factor: 9.161

2.  Synchronization induced by temporal delays in pulse-coupled oscillators.

Authors: 
Journal:  Phys Rev Lett       Date:  1995-02-27       Impact factor: 9.161

Review 3.  Neural synchrony in brain disorders: relevance for cognitive dysfunctions and pathophysiology.

Authors:  Peter J Uhlhaas; Wolf Singer
Journal:  Neuron       Date:  2006-10-05       Impact factor: 17.173

4.  Zero-lag long-range synchronization via dynamical relaying.

Authors:  Ingo Fischer; Raúl Vicente; Javier M Buldú; Michael Peil; Claudio R Mirasso; M C Torrent; Jordi García-Ojalvo
Journal:  Phys Rev Lett       Date:  2006-09-19       Impact factor: 9.161

5.  On the formation of gamma-coherent cell assemblies by oriens lacunosum-moleculare interneurons in the hippocampus.

Authors:  Adriano B L Tort; Horacio G Rotstein; Tamar Dugladze; Tengis Gloveli; Nancy J Kopell
Journal:  Proc Natl Acad Sci U S A       Date:  2007-08-06       Impact factor: 11.205

6.  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

7.  A mechanism for generation of long-range synchronous fast oscillations in the cortex.

Authors:  R D Traub; M A Whittington; I M Stanford; J G Jefferys
Journal:  Nature       Date:  1996-10-17       Impact factor: 49.962

8.  Relation between oscillatory activity and long-range synchronization in cat visual cortex.

Authors:  P König; A K Engel; W Singer
Journal:  Proc Natl Acad Sci U S A       Date:  1995-01-03       Impact factor: 11.205

9.  Neural synchrony in cortical networks: history, concept and current status.

Authors:  Peter J Uhlhaas; Gordon Pipa; Bruss Lima; Lucia Melloni; Sergio Neuenschwander; Danko Nikolić; Wolf Singer
Journal:  Front Integr Neurosci       Date:  2009-07-30

10.  The role of ongoing dendritic oscillations in single-neuron dynamics.

Authors:  Michiel W H Remme; Máté Lengyel; Boris S Gutkin
Journal:  PLoS Comput Biol       Date:  2009-09-04       Impact factor: 4.475

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  14 in total

1.  Synchronization of delayed coupled neurons in presence of inhomogeneity.

Authors:  S Sadeghi; A Valizadeh
Journal:  J Comput Neurosci       Date:  2013-06-07       Impact factor: 1.621

2.  Phase response theory explains cluster formation in sparsely but strongly connected inhibitory neural networks and effects of jitter due to sparse connectivity.

Authors:  Ruben A Tikidji-Hamburyan; Conrad A Leonik; Carmen C Canavier
Journal:  J Neurophysiol       Date:  2019-02-06       Impact factor: 2.714

3.  Globally attracting synchrony in a network of oscillators with all-to-all inhibitory pulse coupling.

Authors:  Carmen C Canavier; Ruben A Tikidji-Hamburyan
Journal:  Phys Rev E       Date:  2017-03-16       Impact factor: 2.529

4.  Long-Range Amplitude Coupling Is Optimized for Brain Networks That Function at Criticality.

Authors:  Arthur-Ervin Avramiea; Anas Masood; Huibert D Mansvelder; Klaus Linkenkaer-Hansen
Journal:  J Neurosci       Date:  2022-01-26       Impact factor: 6.709

5.  Short conduction delays cause inhibition rather than excitation to favor synchrony in hybrid neuronal networks of the entorhinal cortex.

Authors:  Shuoguo Wang; Lakshmi Chandrasekaran; Fernando R Fernandez; John A White; Carmen C Canavier
Journal:  PLoS Comput Biol       Date:  2012-01-05       Impact factor: 4.475

6.  Impact of adaptation currents on synchronization of coupled exponential integrate-and-fire neurons.

Authors:  Josef Ladenbauer; Moritz Augustin; LieJune Shiau; Klaus Obermayer
Journal:  PLoS Comput Biol       Date:  2012-04-12       Impact factor: 4.475

7.  Controlling the oscillation phase through precisely timed closed-loop optogenetic stimulation: a computational study.

Authors:  Annette Witt; Agostina Palmigiano; Andreas Neef; Ahmed El Hady; Fred Wolf; Demian Battaglia
Journal:  Front Neural Circuits       Date:  2013-04-17       Impact factor: 3.492

8.  When Long-Range Zero-Lag Synchronization is Feasible in Cortical Networks.

Authors:  Atthaphon Viriyopase; Ingo Bojak; Magteld Zeitler; Stan Gielen
Journal:  Front Comput Neurosci       Date:  2012-07-27       Impact factor: 2.380

9.  Direct connections assist neurons to detect correlation in small amplitude noises.

Authors:  E Bolhasani; Y Azizi; A Valizadeh
Journal:  Front Comput Neurosci       Date:  2013-08-14       Impact factor: 2.380

10.  Effect of phase response curve skew on synchronization with and without conduction delays.

Authors:  Carmen C Canavier; Shuoguo Wang; Lakshmi Chandrasekaran
Journal:  Front Neural Circuits       Date:  2013-12-11       Impact factor: 3.492

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