Literature DB >> 16059785

Waves, bumps, and patterns in neural field theories.

S Coombes1.   

Abstract

Neural field models of firing rate activity have had a major impact in helping to develop an understanding of the dynamics seen in brain slice preparations. These models typically take the form of integro-differential equations. Their non-local nature has led to the development of a set of analytical and numerical tools for the study of waves, bumps and patterns, based around natural extensions of those used for local differential equation models. In this paper we present a review of such techniques and show how recent advances have opened the way for future studies of neural fields in both one and two dimensions that can incorporate realistic forms of axo-dendritic interactions and the slow intrinsic currents that underlie bursting behaviour in single neurons.

Mesh:

Year:  2005        PMID: 16059785     DOI: 10.1007/s00422-005-0574-y

Source DB:  PubMed          Journal:  Biol Cybern        ISSN: 0340-1200            Impact factor:   2.086


  79 in total

1.  Localized states in an unbounded neural field equation with smooth firing rate function: a multi-parameter analysis.

Authors:  Grégory Faye; James Rankin; Pascal Chossat
Journal:  J Math Biol       Date:  2012-04-20       Impact factor: 2.259

2.  Responses of recurrent nets of asymmetric ON and OFF cells.

Authors:  Jérémie Lefebvre; André Longtin; Victor G Leblanc
Journal:  J Biol Phys       Date:  2010-11-20       Impact factor: 1.365

3.  Analysis of a hyperbolic geometric model for visual texture perception.

Authors:  Grégory Faye; Pascal Chossat; Olivier Faugeras
Journal:  J Math Neurosci       Date:  2011-06-06       Impact factor: 1.300

4.  Intrinsic dendritic filtering gives low-pass power spectra of local field potentials.

Authors:  Henrik Lindén; Klas H Pettersen; Gaute T Einevoll
Journal:  J Comput Neurosci       Date:  2010-05-26       Impact factor: 1.621

5.  Introduction to focus issue: rhythms and dynamic transitions in neurological disease: modeling, computation, and experiment.

Authors:  Tasso J Kaper; Mark A Kramer; Horacio G Rotstein
Journal:  Chaos       Date:  2013-12       Impact factor: 3.642

6.  Anesthetic-induced transitions by propofol modeled by nonlocal neural populations involving two neuron types.

Authors:  Axel Hutt; Lutz Schimansky-Geier
Journal:  J Biol Phys       Date:  2008-05-20       Impact factor: 1.365

7.  Effects of the anesthetic agent propofol on neural populations.

Authors:  Axel Hutt; Andre Longtin
Journal:  Cogn Neurodyn       Date:  2009-09-19       Impact factor: 5.082

8.  A gradient flow formulation for the stochastic Amari neural field model.

Authors:  Christian Kuehn; Jonas M Tölle
Journal:  J Math Biol       Date:  2019-06-18       Impact factor: 2.259

9.  Distributed dynamical computation in neural circuits with propagating coherent activity patterns.

Authors:  Pulin Gong; Cees van Leeuwen
Journal:  PLoS Comput Biol       Date:  2009-12-18       Impact factor: 4.475

10.  Estimation of thalamocortical and intracortical network models from joint thalamic single-electrode and cortical laminar-electrode recordings in the rat barrel system.

Authors:  Patrick Blomquist; Anna Devor; Ulf G Indahl; Istvan Ulbert; Gaute T Einevoll; Anders M Dale
Journal:  PLoS Comput Biol       Date:  2009-03-27       Impact factor: 4.475

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