"Spiking and bursting patterns of neurons are characterized by a high degree of variability. A single neuron can demonstrate endogenously various bursting patterns, changing in response to external disturbances due to synapses, or to intrinsic factors such as channel noise. We argue that in a model of the leech heart interneuron existing variations of bursting patterns are significantly enhanced by a small noise. In the absence of noise this model shows periodic bursting with fixed numbers of interspikes for most parameter values. ..."
Model Type: Neuron or other electrically excitable cell
Region(s) or Organism(s): Leech
Cell Type(s): Leech heart interneuron
Simulation Environment: CONTENT; Dynamics Solver
References:
Channell P, Fuwape I, Neiman AB, Shilnikov AL. (2009). Variability of bursting patterns in a neuron model in the presence of noise. Journal of computational neuroscience 27 [PubMed]