Generalisation of neuronal excitability allows for the identification of an excitability change parameter that links to an experimentally measurable value

  title={Generalisation of neuronal excitability allows for the identification of an excitability change parameter that links to an experimentally measurable value},
  author={Jantine A.C. Broek and Guillaume Drion},
  journal={arXiv: Neurons and Cognition},
Neuronal excitability is the phenomena that describes action potential generation due to a stimulus input. Commonly, neuronal excitability is divided into two classes: Type I and Type II, both having different properties that affect information processing, such as thresholding and gain scaling. These properties can be mathematically studied using generalised phenomenological models, such as the Fitzhugh-Nagumo model and the mirrored FHN. The FHN model shows that each excitability type… 



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