Literature DB >> 18377087

Mixed-mode oscillations in a three time-scale model for the dopaminergic neuron.

Martin Krupa1, Nikola Popović, Nancy Kopell, Horacio G Rotstein.   

Abstract

Mixed-mode dynamics is a complex type of dynamical behavior that has been observed both numerically and experimentally in numerous prototypical systems in the natural sciences. The compartmental Wilson-Callaway model for the dopaminergic neuron is an example of a system that exhibits a wide variety of mixed-mode patterns upon variation of a control parameter. One characteristic feature of this system is the presence of multiple time scales. In this article, we study the Wilson-Callaway model from a geometric point of view. We show that the observed mixed-mode dynamics is caused by a slowly varying canard structure. By appropriately transforming the model equations, we reduce them to an underlying three-dimensional canonical form that can be analyzed via a slight adaptation of the approach developed by M. Krupa, N. Popovic, and N. Kopell (unpublished).

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Year:  2008        PMID: 18377087     DOI: 10.1063/1.2779859

Source DB:  PubMed          Journal:  Chaos        ISSN: 1054-1500            Impact factor:   3.642


  9 in total

1.  Geometric singular perturbation theory in biological practice.

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Journal:  J Math Biol       Date:  2009-04-05       Impact factor: 2.259

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Journal:  J Math Biol       Date:  2012-09-04       Impact factor: 2.259

3.  Mixed mode oscillations as a mechanism for pseudo-plateau bursting.

Authors:  Theodore Vo; Richard Bertram; Joel Tabak; Martin Wechselberger
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4.  Low-frequency neuronal oscillations as instruments of sensory selection.

Authors:  Charles E Schroeder; Peter Lakatos
Journal:  Trends Neurosci       Date:  2008-11-13       Impact factor: 13.837

5.  The significance of dynamical architecture for adaptive responses to mechanical loads during rhythmic behavior.

Authors:  Kendrick M Shaw; David N Lyttle; Jeffrey P Gill; Miranda J Cullins; Jeffrey M McManus; Hui Lu; Peter J Thomas; Hillel J Chiel
Journal:  J Comput Neurosci       Date:  2014-09-04       Impact factor: 1.621

6.  Linking canonical microcircuits and neuronal activity: Dynamic causal modelling of laminar recordings.

Authors:  D A Pinotsis; J P Geerts; L Pinto; T H B FitzGerald; V Litvak; R Auksztulewicz; K J Friston
Journal:  Neuroimage       Date:  2016-11-19       Impact factor: 6.556

7.  Saddle Slow Manifolds and Canard Orbits in [Formula: see text] and Application to the Full Hodgkin-Huxley Model.

Authors:  Cris R Hasan; Bernd Krauskopf; Hinke M Osinga
Journal:  J Math Neurosci       Date:  2018-04-19       Impact factor: 1.300

8.  Neural mass modeling of slow-fast dynamics of seizure initiation and abortion.

Authors:  Elif Köksal Ersöz; Julien Modolo; Fabrice Bartolomei; Fabrice Wendling
Journal:  PLoS Comput Biol       Date:  2020-11-09       Impact factor: 4.475

9.  Bayesian Modelling of Induced Responses and Neuronal Rhythms.

Authors:  Dimitris A Pinotsis; Roman Loonis; Andre M Bastos; Earl K Miller; Karl J Friston
Journal:  Brain Topogr       Date:  2016-10-07       Impact factor: 3.020

  9 in total

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