Literature DB >> 8697231

Type I membranes, phase resetting curves, and synchrony.

B Ermentrout1.   

Abstract

Type I membrane oscillators such as the Connor model (Connor et al. 1977) and the Morris-Lecar model (Morris and Lecar 1981) admit very low frequency oscillations near the critical applied current. Hansel et al. (1995) have numerically shown that synchrony is difficult to achieve with these models and that the phase resetting curve is strictly positive. We use singular perturbation methods and averaging to show that this is a general property of Type I membrane models. We show in a limited sense that so called Type II resetting occurs with models that obtain rhythmicity via a Hopf bifurcation. We also show the differences between synapses that act rapidly and those that act slowly and derive a canonical form for the phase interactions.

Mesh:

Year:  1996        PMID: 8697231     DOI: 10.1162/neco.1996.8.5.979

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


  255 in total

1.  Turning on and off with excitation: the role of spike-timing asynchrony and synchrony in sustained neural activity.

Authors:  B S Gutkin; C R Laing; C L Colby; C C Chow; G B Ermentrout
Journal:  J Comput Neurosci       Date:  2001 Sep-Oct       Impact factor: 1.621

2.  Ghostbursting: a novel neuronal burst mechanism.

Authors:  Brent Doiron; Carlo Laing; André Longtin; Leonard Maler
Journal:  J Comput Neurosci       Date:  2002 Jan-Feb       Impact factor: 1.621

3.  Dynamics from a time series: can we extract the phase resetting curve from a time series?

Authors:  S A Oprisan; V Thirumalai; C C Canavier
Journal:  Biophys J       Date:  2003-05       Impact factor: 4.033

4.  Type I burst excitability.

Authors:  Carlo R Laing; Brent Doiron; André Longtin; Liza Noonan; Ray W Turner; Leonard Maler
Journal:  J Comput Neurosci       Date:  2003 May-Jun       Impact factor: 1.621

5.  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

6.  Dynamics of one-dimensional spiking neuron models.

Authors:  Romain Brette
Journal:  J Math Biol       Date:  2003-08-06       Impact factor: 2.259

7.  How spike generation mechanisms determine the neuronal response to fluctuating inputs.

Authors:  Nicolas Fourcaud-Trocmé; David Hansel; Carl van Vreeswijk; Nicolas Brunel
Journal:  J Neurosci       Date:  2003-12-17       Impact factor: 6.167

8.  The functional consequences of changes in the strength and duration of synaptic inputs to oscillatory neurons.

Authors:  Astrid A Prinz; Vatsala Thirumalai; Eve Marder
Journal:  J Neurosci       Date:  2003-02-01       Impact factor: 6.167

9.  Synchronization of strongly coupled excitatory neurons: relating network behavior to biophysics.

Authors:  Corey D Acker; Nancy Kopell; John A White
Journal:  J Comput Neurosci       Date:  2003 Jul-Aug       Impact factor: 1.621

10.  A novel mechanism for irregular firing of a neuron in response to periodic stimulation: irregularity in the absence of noise.

Authors:  John R Clay
Journal:  J Comput Neurosci       Date:  2003 Jul-Aug       Impact factor: 1.621

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.