Publicly available software for accurate fitting of Hodgkin-Huxley models to voltage-clamp data... The set of parameter values for the model determined by this software yield current traces that are substantially closer to the observed data than those determined from the usual fitting method. This improvement is due to the fact that the software fits all of the parameters simultaneously utilizing all of the data rather than fitting steady-state and time constant parameters disjointly using peak currents and portions of the rising and falling phases... The software also incorporates a linear pre-estimation procedure to help in determining reasonable initial values for the full non-linear algorithm. See references for details and more.
Model Concept(s): Parameter Fitting; Methods
Simulation Environment: FORTRAN; C or C++ program (web link to model)
Implementer(s): Willms, Allan [AWillms at uoguelph.ca]; Kuo, Howie ; Ewing, Greg
References:
Willms AR, Baro DJ, Harris-Warrick RM, Guckenheimer J. (1999). An improved parameter estimation method for Hodgkin-Huxley models. Journal of computational neuroscience. 6 [PubMed]
Willms AR. (2002). NEUROFIT: software for fitting Hodgkin-Huxley models to voltage-clamp data. Journal of neuroscience methods. 121 [PubMed]
Tóth TI, Crunelli V. (1995). A numerical procedure to estimate kinetic and steady-state characteristics of inactivating ionic currents. Journal of neuroscience methods. 63 [PubMed]