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Analysis of stability and bifurcations of fixed points and periodic solutions of a lumped model of neocortex with two delays

Overview of attention for article published in The Journal of Mathematical Neuroscience, April 2012
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Title
Analysis of stability and bifurcations of fixed points and periodic solutions of a lumped model of neocortex with two delays
Published in
The Journal of Mathematical Neuroscience, April 2012
DOI 10.1186/2190-8567-2-8
Pubmed ID
Authors

Sid Visser, Hil GE Meijer, Michel JAM van Putten, Stephan A van Gils

Abstract

A lumped model of neural activity in neocortex is studied to identify regions of multi-stability of both steady states and periodic solutions. Presence of both steady states and periodic solutions is considered to correspond with epileptogenesis. The model, which consists of two delay differential equations with two fixed time lags is mainly studied for its dependency on varying connection strength between populations. Equilibria are identified, and using linear stability analysis, all transitions are determined under which both trivial and non-trivial fixed points lose stability. Periodic solutions arising at some of these bifurcations are numerically studied with a two-parameter bifurcation analysis.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 4%
Netherlands 1 4%
Brazil 1 4%
Unknown 23 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 19%
Professor 4 15%
Student > Master 3 12%
Student > Bachelor 2 8%
Student > Doctoral Student 2 8%
Other 7 27%
Unknown 3 12%
Readers by discipline Count As %
Mathematics 7 27%
Medicine and Dentistry 4 15%
Neuroscience 3 12%
Physics and Astronomy 2 8%
Engineering 2 8%
Other 4 15%
Unknown 4 15%