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Efficient estimation of detailed single-neuron models (Huys et al. 2006)
Accession: 93390
"Biophysically accurate multicompartmental models of individual neurons ... depend on a large number of parameters that are difficult to estimate. ... We propose a statistical approach to the automatic estimation of various biologically relevant parameters, including 1) the distribution of channel densities, 2) the spatiotemporal pattern of synaptic input, and 3) axial resistances across extended dendrites. ... We demonstrate that the method leads to accurate estimations on a wide variety of challenging model data sets that include up to about 10,000 parameters (roughly two orders of magnitude more than previously feasible) and describe how the method gives insights into the functional interaction of groups of channels."
Reference: Huys QJ, Ahrens MB, Paninski L (2006) Efficient estimation of detailed single-neuron models. J Neurophysiol 96:872-90 [PubMed]
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Model Information (Click on a link to find other models with that property)
Model Type:  Neuron or other electrically excitable cell;
Brain Region(s)/Organism:  
Cell Type(s):   
Channel(s):   
Gap Junctions:  
Receptor(s):  
Gene(s):  
Transmitter(s):  
Simulation Environment:  MATLAB (web link to model);
Model Concept(s):  Methods;
Implementer(s):  
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Quentin Huys

Note from ModelDB Administrator: The below is a copy of the web page http://www.gatsby.ucl.ac.uk/~qhuys/code.html made on May 29th, 2006

Code

All the code on this page is published under the GNU General Public License : All is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version.

Single-cell

Population Coding

Matlab and other stuff

I accumulate all kinds of snippets and tricks here .


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