Literature DB >> 33273894

Synchronization of Electrically Coupled Resonate-and-Fire Neurons.

Thomas Chartrand1, Mark S Goldman2, Timothy J Lewis3.   

Abstract

Electrical coupling between neurons is broadly present across brain areas and is typically assumed to synchronize network activity. However, intrinsic properties of the coupled cells can complicate this simple picture. Many cell types with electrical coupling show a diversity of post-spike subthreshold fluctuations, often linked to subthreshold resonance, which are transmitted through electrical synapses in addition to action potentials. Using the theory of weakly coupled oscillators, we explore the effect of both subthreshold and spike-mediated coupling on synchrony in small networks of electrically coupled resonate-and-fire neurons, a hybrid neuron model with damped subthreshold oscillations and a range of post-spike voltage dynamics. We calculate the phase response curve using an extension of the adjoint method that accounts for the discontinuous post-spike reset rule. We find that both spikes and subthreshold fluctuations can jointly promote synchronization. The subthreshold contribution is strongest when the voltage exhibits a significant post-spike elevation in voltage, or plateau potential. Additionally, we show that the geometry of trajectories approaching the spiking threshold causes a "reset-induced shear" effect that can oppose synchrony in the presence of network asymmetry, despite having no effect on the phase-locking of symmetrically coupled pairs.

Entities:  

Keywords:  34A38; 34C15; 34C20; 34D06; 37G15; 37N25; 92B25; 92C20; electrical coupling; gap junction; hybrid model; phase response curve; resonate-and-fire model; synchronization

Year:  2019        PMID: 33273894      PMCID: PMC7709966          DOI: 10.1137/18m1197412

Source DB:  PubMed          Journal:  SIAM J Appl Dyn Syst        ISSN: 1536-0040            Impact factor:   2.316


  72 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.  Dynamics of spiking neurons connected by both inhibitory and electrical coupling.

Authors:  Timothy J Lewis; John Rinzel
Journal:  J Comput Neurosci       Date:  2003 May-Jun       Impact factor: 1.621

3.  Pulse-coupled resonate-and-fire models.

Authors:  Keiji Miura; Masato Okada
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2004-08-30

4.  Interspike interval densities of resonate and fire neurons.

Authors:  T Verechtchaguina; I M Sokolov; L Schimansky-Geier
Journal:  Biosystems       Date:  2006-11-11       Impact factor: 1.973

5.  Simple model of spiking neurons.

Authors:  E M Izhikevich
Journal:  IEEE Trans Neural Netw       Date:  2003

6.  Minimal Hodgkin-Huxley type models for different classes of cortical and thalamic neurons.

Authors:  Martin Pospischil; Maria Toledo-Rodriguez; Cyril Monier; Zuzanna Piwkowska; Thierry Bal; Yves Frégnac; Henry Markram; Alain Destexhe
Journal:  Biol Cybern       Date:  2008-11-15       Impact factor: 2.086

7.  Subthreshold membrane-potential resonances shape spike-train patterns in the entorhinal cortex.

Authors:  T A Engel; L Schimansky-Geier; A V M Herz; S Schreiber; I Erchova
Journal:  J Neurophysiol       Date:  2008-04-30       Impact factor: 2.714

8.  Synchrony in excitatory neural networks.

Authors:  D Hansel; G Mato; C Meunier
Journal:  Neural Comput       Date:  1995-03       Impact factor: 2.026

Review 9.  Twenty years of ModelDB and beyond: building essential modeling tools for the future of neuroscience.

Authors:  Robert A McDougal; Thomas M Morse; Ted Carnevale; Luis Marenco; Rixin Wang; Michele Migliore; Perry L Miller; Gordon M Shepherd; Michael L Hines
Journal:  J Comput Neurosci       Date:  2016-09-15       Impact factor: 1.621

10.  Phase-amplitude descriptions of neural oscillator models.

Authors:  Kyle Ca Wedgwood; Kevin K Lin; Ruediger Thul; Stephen Coombes
Journal:  J Math Neurosci       Date:  2013-01-24       Impact factor: 1.300

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.