Title
Mechanisms for Frequency Control in Neuronal Competition Models.
Abstract
We investigate analytically a. ring rate model for a two-population network based on mutual inhibition and slow negative feedback in the form of spike frequency adaptation. Both neuronal populations receive external constant input whose strength determines the system's dynamical state-a steady state of identical activity levels or periodic oscillations or a winner-take-all state of bistability. We prove that oscillations appear in the system through supercritical Hopf bifurcations and that they are antiphase. The period of oscillations depends on the input strength in a nonmonotonic fashion, and we show that the increasing branch of the period versus input curve corresponds to a release mechanism and the decreasing branch to an escape mechanism. In the limiting case of infinitely slow feedback we characterize the conditions for release, escape, and occurrence of the winner-take-all behavior. Some extensions of the model are also discussed.
Year
DOI
Venue
2008
10.1137/070705842
SIAM JOURNAL ON APPLIED DYNAMICAL SYSTEMS
Keywords
Field
DocType
Hopf bifurcation,antiphase oscillations,slow negative feedback,winner-take-all,release and escape,binocular rivalry,central pattern generators
Bistability,Oscillation,Control theory,Negative feedback,Automatic frequency control,Steady state,Winner-take-all,Periodic graph (geometry),Hopf bifurcation,Mathematics
Journal
Volume
Issue
ISSN
7
2
1536-0040
Citations 
PageRank 
References 
12
1.03
8
Authors
4
Name
Order
Citations
PageRank
Rodica Curtu1313.24
Asya Shpiro2312.09
Nava Rubin3888.50
John Rinzel4459219.68