Identifying type I excitability using dynamics of stochastic neural firing patterns

@article{Jia2012IdentifyingTI,
  title={Identifying type I excitability using dynamics of stochastic neural firing patterns},
  author={Bing Jia and Huaguang Gu},
  journal={Cognitive Neurodynamics},
  year={2012},
  volume={6},
  pages={485-497}
}
The stochastic firing patterns are simulated near saddle-node bifurcation on an invariant cycle corresponding to type I excitability in stochastic Morris–Lecar model. In absence of external periodic signal, the stochastic firing manifests continuous distribution in ISI histogram (ISIH), whose amplitude at first increases sharply and then decreases… CONTINUE READING