Stochastic versions of the Hodgkin-Huxley equations (Goldwyn, Shea-Brown 2011) (pylab)


A pylab version from Alan Leggitt for simulating different channel noise models using the Hodgkin-Huxley equations. Methods provided and reviewed in Goldwyn and Shea-Brown (2011) are: current noise, subunit noise, conductance noise, and Markov chain, as well as the standard deterministic Hodgkin-Huxley model.

Model Type: Neuron or other electrically excitable cell

Cell Type(s): Hodgkin-Huxley neuron

Model Concept(s): Action Potential Initiation; Ion Channel Kinetics; Action Potentials; Markov-type model

Simulation Environment: Python

Implementer(s): Leggitt, Alan [alan.leggitt at ucsf.edu]

References:

Goldwyn JH, Shea-Brown E. (2011). The what and where of adding channel noise to the Hodgkin-Huxley equations. PLoS computational biology 7 [PubMed]