ModelDB: Spatial gridding and temporal accuracy in NEURON (Hines and Carnevale 2001)

Spatial gridding and temporal accuracy in NEURON (Hines and Carnevale 2001)

Accession: 53451

A heuristic for compartmentalization based on the space constant at 100 Hz is proposed. The paper also discusses spatio/temporal accuracy and the use of CVODE.
Reference: Hines ML, Carnevale NT (2001) NEURON: a tool for neuroscientists. Neuroscientist 7:123-35 [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:	Neuron;
Model Concept(s):	Tutorial/Teaching; Methods;
Implementer(s):	Hines, Michael [Michael.Hines at Yale.edu];

Model files

Help downloading and running models Versions

Hines, M.L. and Carnevale, N.T. NEURON: a tool for neuroscientists.
The Neuroscientist 7:123-135, 2001.

The value of Ra for figures 3,4,5 is 160 instead of the 180 stated in the
paper.

In fig 9 the dt plot can vary in details from the figure due to
changes in implementation and cvode upgrades. A value of 1e-10 is added
to dt before taking the log10 because dt=0 at stimulus discontinuities.
Also we display the order used by cvode as a function of time.

Usage notes:

On all platforms:

This model has been verified under NEURON 5.7.159 on mswin
unix and mac platforms.  The radio buttons for Figs. 1-8 generate the 
corresponding figures automatically.  Figure 9 actually requires a 
click on Init & Run (e.g. so users can explore effects of changing 
absolute tolerance),

mswin: Auto-launch (ModelDB) or download and extract the zip file.
Then double click on mosinit.hoc in windows explorer.

unix: Auto-launch, or download and extract the archive.  Then type 
nrngui mosinit.hoc
at the command line after cd'ing to the hines2001 directory.

mac OS X: Download the archive.  Drag and drop the archive on the mos2nrn 
icon in the Neuron application directory.

The channel information for Fig. 9 is the same as Mainen & Sejnowski
http://senselab.med.yale.edu/senselab/modeldb/ShowModel.asp?model=2488
and the cell type is Neocortical pyramidal neuron: deep
The cell for Figs. 7 and 8 is a Dentate granule cell.

20120113 cad.mod updated from euler to derivimplicit as per
http://www.neuron.yale.edu/phpbb/viewtopic.php?f=28&t=592

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