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Computational model
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Data-driven, HH-type model of the lateral pyloric (LP) cell in the STG (Nowotny et al. 2008)
This model was developed using voltage clamp data and existing LP models to assemble an initial set of currents which were then adjusted by extensive fitting to a long data set of an isolated LP neuron. The main points of the work are a) automatic fitting is difficult but works when the method is carefully adjusted to the problem (and the initial guess is good enough). b) The resulting model (in this case) made reasonable predictions for manipulations not included in the original data set, e.g., blocking some of the ionic currents. c) The model is reasonably robust against changes in parameters but the different parameters vary a lot in this respect. d) The model is suitable for use in a network and has been used for this purpose (Ivanchenko et al. 2008)
  • Hodgkin-Huxley neuron Show Other
  • Stomatogastric Ganglion (STG) Lateral Pyloric (LP) cell Show Other
  • Neuron or other electrically excitable cell Show Other
  • Nowotny T, Levi R, Selverston AI (2008) Show Other
  • Ivanchenko MV, Thomas Nowotny , Selverston AI, Rabinovich MI (2008) Show Other
  • Nowotny, Thomas [t.nowotny at sussex.ac.uk] Show Other
t.nowotny@sussex.ac.uk
STG Lateral Pyloric (LP)
I h
Parameter sensitivity
Nowotny, Thomas <t.nowotny@sussex.ac.uk>
T. Nowotny, R. Levi and A. I. Selverston, Probing the Dynamics of Identified Neurons with a Data-Driven Modeling Approach, PLoS ONE 3(7): e2627. DOI:10.1371/journal.pone.0002627 (2008)
60
False
False
Other categories referring to Data-driven, HH-type model of the lateral pyloric (LP) cell in the STG (Nowotny et al. 2008)
Revisions: 3
Last Time: 6/19/2012 10:58:53 PM
Reviewer: Tom Morse - MoldelDB admin
Owner: Tom Morse - MoldelDB admin