Literature DB >> 15565447

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

Tomás Gedeon1, Matt Holzer.   

Abstract

It is known [8, 11, 16, 26] that phase locking can entrain frequency information when the leaky integrate-and-fire (IF) model of a neuron is forced by a periodic function. We show that this is still the case when the IF model is made more biologically realistic. We incorporate into our model spike dependent threshold modulation and refractory periods. Consecutive firing times from this model and their respective interspike intervals are related by an annulus map. We prove a general theorem concerning orientation reversing annulus twist homeomorphisms, which shows that our map admits a unique rotation number. This implies, in particular, that chaotic behaviour is not possible in our model and phase locking is predicted.

Entities:  

Mesh:

Year:  2004        PMID: 15565447     DOI: 10.1007/s00285-004-0268-4

Source DB:  PubMed          Journal:  J Math Biol        ISSN: 0303-6812            Impact factor:   2.259


  15 in total

1.  Dynamic spike threshold reveals a mechanism for synaptic coincidence detection in cortical neurons in vivo.

Authors:  R Azouz; C M Gray
Journal:  Proc Natl Acad Sci U S A       Date:  2000-07-05       Impact factor: 11.205

2.  On the firing maps of a general class of forced integrate and fire neurons.

Authors:  H Carrillo; F A Ongay
Journal:  Math Biosci       Date:  2001-07       Impact factor: 2.144

3.  Mode locking and Arnold tongues in integrate-and-fire neural oscillators.

Authors:  S Coombes; P C Bressloff
Journal:  Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics       Date:  1999-08

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

Authors:  S Coombes; M R Owen; G D Smith
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2001-09-24

5.  Interspike interval correlations, memory, adaptation, and refractoriness in a leaky integrate-and-fire model with threshold fatigue.

Authors:  Maurice J Chacron; Khashayar Pakdaman; André Longtin
Journal:  Neural Comput       Date:  2003-02       Impact factor: 2.026

6.  Reliability of spike timing is a general property of spiking model neurons.

Authors:  Romain Brette; Emmanuel Guigon
Journal:  Neural Comput       Date:  2003-02       Impact factor: 2.026

7.  The impulses produced by sensory nerve-endings: Part II. The response of a Single End-Organ.

Authors:  E D Adrian; Y Zotterman
Journal:  J Physiol       Date:  1926-04-23       Impact factor: 5.182

8.  A stochastic model of the repetitive activity of neurons.

Authors:  C D Geisler; J M Goldberg
Journal:  Biophys J       Date:  1966-01       Impact factor: 4.033

9.  A neuronal model for the discharge patterns produced by cyclic inputs.

Authors:  A Rescigno; R B Stein; R L Purple; R E Poppele
Journal:  Bull Math Biophys       Date:  1970-09

10.  Input-output relations in computer-simulated nerve cells. Influence of the statistical properties, strength, number and inter-dependence of excitatory pre-synaptic terminals.

Authors:  J P Segundo; D H Perkel; H Wyman; H Hegstad; G P Moore
Journal:  Kybernetik       Date:  1968-05
View more
  1 in total

1.  Minimal conductance-based model of auditory coincidence detector neurons.

Authors:  Go Ashida; Kazuo Funabiki; Jutta Kretzberg
Journal:  PLoS One       Date:  2015-04-06       Impact factor: 3.240

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.