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Phase-amplitude descriptions of neural oscillator models

Wedgwood, Kyle C.A.; Lin, Kevin K.; Thul, Ruediger; Coombes, Stephen


Kyle C.A. Wedgwood

Kevin K. Lin


Phase oscillators are a common starting point for the reduced description of many single neuron models that exhibit a strongly attracting limit cycle. The framework for analysing such models in response to weak perturbations is now particularly well advanced, and has allowed for the development of a theory of weakly connected neural networks. However, the strong-attraction assumption may well not be the natural one for many neural oscillator models. For example, the popular conductance based Morris-Lecar model is known to respond to periodic pulsatile stimulation in a chaotic fashion that cannot be adequately described with a phase reduction. In this paper, we generalise the phase description that allows one to track the evolution of distance from the cycle as well as phase on cycle. We use a classical technique from the theory of ordinary differential equations that makes use of a moving coordinate system to analyse periodic orbits. The subsequent phase-amplitude description is shown to be very well suited to understanding the response of the oscillator to external stimuli (which are not necessarily weak). We consider a number of examples of neural oscillator models, ranging from planar through to high dimensional models, to illustrate the effectiveness of this approach in providing an improvement over the standard phase-reduction technique. As an explicit application of this phase-amplitude framework, we consider in some detail the response of a generic planar model where the strong-attraction assumption does not hold, and examine the response of the system to periodic pulsatile forcing. In addition, we explore how the presence of dynamical shear can lead to a chaotic response.


Wedgwood, K. C., Lin, K. K., Thul, R., & Coombes, S. Phase-amplitude descriptions of neural oscillator models. Journal of Mathematical Neuroscience, 3(2), doi:10.1186/2190-8567-3-2

Journal Article Type Article
Deposit Date Feb 12, 2013
Journal Journal of Mathematical Neuroscience
Electronic ISSN 2190-8567
Publisher Humana Press
Peer Reviewed Peer Reviewed
Volume 3
Issue 2
Public URL
Publisher URL
Copyright Statement Copyright information regarding this work can be found at the following address:


PhaseAmp-JMN.pdf (2.9 Mb)

Copyright Statement
Copyright information regarding this work can be found at the following address:

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