Literature DB >> 12005888

Modeling of spiking-bursting neural behavior using two-dimensional map.

Nikolai F Rulkov1.   

Abstract

A simple model that replicates the dynamics of spiking and spiking-bursting activity of real biological neurons is proposed. The model is a two-dimensional map that contains one fast and one slow variable. The mechanisms behind generation of spikes, bursts of spikes, and restructuring of the map behavior are explained using phase portrait analysis. The dynamics of two coupled maps that model the behavior of two electrically coupled neurons is discussed. Synchronization regimes for spiking and bursting activities of these maps are studied as a function of coupling strength. It is demonstrated that the results of this model are in agreement with the synchronization of chaotic spiking-bursting behavior experimentally found in real biological neurons.

Mesh:

Year:  2002        PMID: 12005888     DOI: 10.1103/PhysRevE.65.041922

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


  33 in total

1.  Oscillations in large-scale cortical networks: map-based model.

Authors:  N F Rulkov; I Timofeev; M Bazhenov
Journal:  J Comput Neurosci       Date:  2004 Sep-Oct       Impact factor: 1.621

2.  Spatially constrained adaptive rewiring in cortical networks creates spatially modular small world architectures.

Authors:  Nicholas Jarman; Chris Trengove; Erik Steur; Ivan Tyukin; Cees van Leeuwen
Journal:  Cogn Neurodyn       Date:  2014-04-02       Impact factor: 5.082

3.  How noise and coupling induce bursting action potentials in pancreatic {beta}-cells.

Authors:  Junghyo Jo; Hyuk Kang; Moo Young Choi; Duk-Su Koh
Journal:  Biophys J       Date:  2005-07-01       Impact factor: 4.033

4.  Neuronal synchrony: peculiarity and generality.

Authors:  Thomas Nowotny; Ramon Huerta; Mikhail I Rabinovich
Journal:  Chaos       Date:  2008-09       Impact factor: 3.642

5.  Effect of synaptic connectivity on long-range synchronization of fast cortical oscillations.

Authors:  M Bazhenov; N F Rulkov; I Timofeev
Journal:  J Neurophysiol       Date:  2008-07-16       Impact factor: 2.714

6.  Designing and implementing nervous system simulations on LEGO robots.

Authors:  Daniel Blustein; Nikolai Rosenthal; Joseph Ayers
Journal:  J Vis Exp       Date:  2013-05-25       Impact factor: 1.355

7.  Oscillations and synchrony in large-scale cortical network models.

Authors:  Nikolai F Rulkov; Maxim Bazhenov
Journal:  J Biol Phys       Date:  2008-06-17       Impact factor: 1.365

8.  Neural synchronization at tonic-to-bursting transitions.

Authors:  Svetlana Postnova; Karlheinz Voigt; Hans A Braun
Journal:  J Biol Phys       Date:  2007-10-26       Impact factor: 1.365

9.  Clustering: how much bias do we need?

Authors:  Tom Lorimer; Jenny Held; Ruedi Stoop
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2017-06-28       Impact factor: 4.226

10.  Frequency transitions in odor-evoked neural oscillations.

Authors:  Iori Ito; Maxim Bazhenov; Rose Chik-ying Ong; Baranidharan Raman; Mark Stopfer
Journal:  Neuron       Date:  2009-12-10       Impact factor: 17.173

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