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Dynamical systems analysis of spike-adding mechanisms in transient bursts

Overview of attention for article published in The Journal of Mathematical Neuroscience, April 2012
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Title
Dynamical systems analysis of spike-adding mechanisms in transient bursts
Published in
The Journal of Mathematical Neuroscience, April 2012
DOI 10.1186/2190-8567-2-7
Pubmed ID
Authors

Jakub Nowacki, Hinke M Osinga, Krasimira Tsaneva-Atanasova

Abstract

Transient bursting behaviour of excitable cells, such as neurons, is a common feature observed experimentally, but theoretically, it is not well understood. We analyse a five-dimensional simplified model of after-depolarisation that exhibits transient bursting behaviour when perturbed with a short current injection. Using one-parameter continuation of the perturbed orbit segment formulated as a well-posed boundary value problem, we show that the spike-adding mechanism is a canard-like transition that has a different character from known mechanisms for periodic burst solutions. The biophysical basis of the model gives a natural time-scale separation, which allows us to explain the spike-adding mechanism using geometric singular perturbation theory, but it does not involve actual bifurcations as for periodic bursts. We show that unstable sheets of the critical manifold, formed by saddle equilibria of the system that only exist in a singular limit, are responsible for the spike-adding transition; the transition is organised by the slow flow on the critical manifold near folds of this manifold. Our analysis shows that the orbit segment during the spike-adding transition includes a fast transition between two unstable sheets of the slow manifold that are of saddle type. We also discuss a different parameter regime where the presence of additional saddle equilibria of the full system alters the spike-adding mechanism.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 9%
Spain 1 5%
Unknown 19 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 32%
Researcher 3 14%
Professor 2 9%
Lecturer > Senior Lecturer 2 9%
Student > Postgraduate 2 9%
Other 6 27%
Readers by discipline Count As %
Mathematics 14 64%
Computer Science 2 9%
Physics and Astronomy 1 5%
Neuroscience 1 5%
Engineering 1 5%
Other 0 0%
Unknown 3 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 September 2013.
All research outputs
#15,278,165
of 22,719,618 outputs
Outputs from The Journal of Mathematical Neuroscience
#36
of 80 outputs
Outputs of similar age
#104,262
of 163,233 outputs
Outputs of similar age from The Journal of Mathematical Neuroscience
#1
of 2 outputs
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So far Altmetric has tracked 80 research outputs from this source. They receive a mean Attention Score of 2.6. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
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