Constraining compartmental models using multiple voltage recordings and genetic algorithms.

@article{Keren2005ConstrainingCM,
  title={Constraining compartmental models using multiple voltage recordings and genetic algorithms.},
  author={Naomi Keren and N. Peled and Alon Korngreen},
  journal={Journal of neurophysiology},
  year={2005},
  volume={94 6},
  pages={3730-42}
}
Compartmental models with many nonlinearly and nonhomogeneous distributions of voltage-gated conductances are routinely used to investigate the physiology of complex neurons. However, the number of loosely constrained parameters makes manually constructing the desired model a daunting if not impossible task. Recently, progress has been made using automated parameter search methods, such as genetic algorithms (GAs). However, these methods have been applied to somatically recorded action… CONTINUE READING

Citations

Publications citing this paper.
Showing 1-10 of 60 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 65 references

Introduction ot equation solving and parameter fitting. In: Computational neuroscience: realistic modelling for experimentalists, edited by De Schutter E

  • G LeMasson, R. Maex
  • London: CRC press,
  • 2001
Highly Influential
10 Excerpts

An introduction to genetic algorithms

  • M. Mitchell
  • Cambridge, MA: MIT press,
  • 1996
Highly Influential
6 Excerpts

Similar Papers

Loading similar papers…