Title
Bifurcations in Morris-Lecar neuron model
Abstract
The Morris-Lecar (M-L) equations are an important neuron model that exhibits classes I and II excitabilities when system parameters are set appropriately. Although many papers have clarified characteristic behaviors of the model, the detailed transition between two classes is unclear from the viewpoint of bifurcation analyses. In this paper, we investigate bifurcations of invariant sets in a five-dimensional parameter space, and identify an essential parameter of the half-activated potential of the potassium activation curve that contributes to the alternation of the membrane properties of the M-L neuron. We also show that the membrane property can be controlled by varying the value of the single parameter.
Year
DOI
Venue
2006
10.1016/j.neucom.2005.03.006
Neurocomputing
Keywords
Field
DocType
system parameter,morris-lecar neuron model,class i and ii neuron,detailed transition,single parameter,important neuron model,morris-lecar model,essential parameter,five-dimensional parameter space,characteristic behavior,m-l neuron,bifurcation analysis,membrane property,homoclinic bifurcation,parameter space,saddle node bifurcation
Morris–Lecar model,Biological neuron model,Biological applications of bifurcation theory,Control theory,Parameter space,Artificial intelligence,Saddle-node bifurcation,Statistical physics,Homoclinic bifurcation,Pattern recognition,Bifurcation diagram,Invariant (mathematics),Mathematics
Journal
Volume
Issue
ISSN
69
4-6
Neurocomputing
Citations 
PageRank 
References 
36
2.68
6
Authors
5
Name
Order
Citations
PageRank
Kunichika Tsumoto1526.57
Hiroyuki Kitajima2499.35
Tetsuya Yoshinaga35710.38
Kazuyuki Aihara41909333.03
Hiroshi Kawakami5362.68