Literature DB >> 11690059

Mode locking in a periodically forced integrate-and-fire-or-burst neuron model.

S Coombes1, M R Owen, G D Smith.   

Abstract

The minimal "integrate-and-fire-or-burst" (IFB) neuron model reproduces the salient features of experimentally observed thalamocortical relay neuron response properties, including the temporal tuning of both tonic spiking (i.e., conventional action potentials) and post-inhibitory rebound bursting mediated by the low-threshold Ca2+ current, I(T). In previous work focusing on experimental and IFB model responses to sinusoidal current injection, large regions of stimulus parameter space were observed for which the response was entrained to periodic applied current, resulting in repetitive burst, tonic, or mixed (i.e., burst followed by tonic) responses. Here we present an exact analysis of such mode-locking in the integrate-and-fire-or-burst model under the influence of arbitrary periodic forcing that includes sinusoidally driven responses as one case. In this analysis, the instabilities of mode-locked states are identified as both smooth bifurcations of an associated firing time map and nonsmooth bifurcations of the underlying discontinuous flow. The explicit construction of borders in parameter space that define the instabilities of mode-locked zones is used to build up the Arnol'd tongue structure for the model. The zones for mode-locking are shown to be in excellent agreement with numerical simulations and are used to explore the observed stimulus dependence of burst versus tonic response of the IFB neuron model.

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Year:  2001        PMID: 11690059     DOI: 10.1103/PhysRevE.64.041914

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


  5 in total

1.  Phase locking in integrate-and-fire models with refractory periods and modulation.

Authors:  Tomás Gedeon; Matt Holzer
Journal:  J Math Biol       Date:  2004-03-03       Impact factor: 2.259

2.  Feedback inhibition and throughput properties of an integrate-and-fire-or-burst network model of retinogeniculate transmission.

Authors:  Marco A Huertas; Jeffrey R Groff; Gregory D Smith
Journal:  J Comput Neurosci       Date:  2005-10       Impact factor: 1.621

3.  An integrate-and-fire model for synchronized bursting in a network of cultured cortical neurons.

Authors:  D A French; E I Gruenstein
Journal:  J Comput Neurosci       Date:  2006-08-31       Impact factor: 1.621

4.  Locally Contractive Dynamics in Generalized Integrate-and-Fire Neurons.

Authors:  Nicolas D Jimenez; Stefan Mihalas; Richard Brown; Ernst Niebur; Jonathan Rubin
Journal:  SIAM J Appl Dyn Syst       Date:  2013-09-10       Impact factor: 2.316

5.  Conversion of phase information into a spike-count code by bursting neurons.

Authors:  Inés Samengo; Marcelo A Montemurro
Journal:  PLoS One       Date:  2010-03-12       Impact factor: 3.240

  5 in total

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