Multiple channels and calcium dynamics
Methods in neuronal modeling
Analysis of neural excitability and oscillations
Methods in neuronal modeling
Synchrony in excitatory neural networks
Neural Computation
Type i membranes, phase resetting curves, and synchrony
Neural Computation
Journal of Computational Neuroscience
Quantifying statistical interdependence, part iii: N 2 point processes
Neural Computation
Generalized nonlinear timing/phase macromodeling: theory, numerical methods and applications
Proceedings of the International Conference on Computer-Aided Design
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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.