Abstract
AbstractIn this work, we consider a general conductance-based neuron model with the inclusion of the acetycholine sensitive, M-current. We study bifurcations in the parameter space consisting of the applied current $I_{app}$
I
a
p
p
, the maximal conductance of the M-current $g_{M}$
g
M
and the conductance of the leak current $g_{L}$
g
L
. We give precise conditions for the model that ensure the existence of a Bogdanov–Takens (BT) point and show that such a point can occur by varying $I_{app}$
I
a
p
p
and $g_{M}$
g
M
. We discuss the case when the BT point becomes a Bogdanov–Takens–cusp (BTC) point and show that such a point can occur in the three-dimensional parameter space. The results of the bifurcation analysis are applied to different neuronal models and are verified and supplemented by numerical bifurcation diagrams generated using the package . We conclude that there is a transition in the neuronal excitability type organised by the BT point and the neuron switches from Class-I to Class-II as conductance of the M-current increases.
Funder
Natural Sciences and Engineering Research Councli
Publisher
Springer Science and Business Media LLC
Subject
Neuroscience (miscellaneous)
Cited by
4 articles.
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