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Neurofitter

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Encyclopedia of Computational Neuroscience

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Definition

Neurofitter is a software tool developed to enable computational neuroscientists to tune the parameters of a neuron model. The constraints on the model are given in the form of intracellular voltage traces recorded during stimulus protocols. The parameters are in general the maximal conductances of the ion channels in the model. Neurofitter uses global optimization methods to find the parameter values that minimize the differences in the phase-plane trajectory density plot between the target voltage traces and the voltage traces generated by the neuron model.

Detailed Description

Background

Due to improvements in experimental techniques and computational power available to neuroscientists, over the years, neuron models have become more and more complex. One manifestation of this complexity is the number of parameters used in these models. Unfortunately, it is not always possible to experimentally determine exact values for all these parameters. Especially, the maximal...

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References

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Author information

Authors and Affiliations

  1. Blue Brain Project, EPFL, Lausanne, Switzerland

    Werner Van Geit

Authors
  1. Werner Van Geit
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Corresponding author

Correspondence to Werner Van Geit .

Editor information

Editors and Affiliations

  1. Atlanta, Georgia, USA

    Dieter Jaeger

  2. Department of Biomedical Engineering, Florida International University, Miami, Florida, USA

    Ranu Jung

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© 2014 Springer Science+Business Media New York

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Van Geit, W. (2014). Neurofitter. In: Jaeger, D., Jung, R. (eds) Encyclopedia of Computational Neuroscience. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7320-6_167-1

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  • DOI: https://doi.org/10.1007/978-1-4614-7320-6_167-1

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  • Publisher Name: Springer, New York, NY

  • Online ISBN: 978-1-4614-7320-6

  • eBook Packages: Springer Reference Biomedicine and Life SciencesReference Module Biomedical and Life Sciences

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