Fully Implicit Parallel Simulation of Single Neurons (Hines et al. 2008)

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Accession:97985
A 3-d reconstructed neuron model can be simulated in parallel on a dozen or so processors and experience almost linear speedup. Network models can be simulated when there are more processors than cells.
Reference:
1 . Hines ML, Markram H, Schuermann F (2008) Fully Implicit Parallel Simulation of Single Neurons J Comp Neurosci 25:439-448 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type:
Brain Region(s)/Organism:
Cell Type(s):
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Methods;
Implementer(s):
Hines M.L., Markram H., Schuermann F. (2008)
Fully Implicit Parallel Simulation of Single Neurons
J. Comp. Neurosci. DOI: 10.1007/s10827-008-0087-5

This contains the administrative files needed to simulate any
single neuron model in ModelDB.

mkdir modeldb

"sh modelfix.sh" downloads the three single neuron models used in
the paper, extracts them into subdirectories of modeldb and
trivially modifies some files so the models can be launched without
automatically running a simulation.

"sh perfrun.sh" generates the data for figure 5.

20150714 Fabrizio Gabbiani contributed a fix for updated name for
eavBinDown in modelfix.sh.

Hines ML, Markram H, Schuermann F (2008) Fully Implicit Parallel Simulation of Single Neurons J Comp Neurosci 25:439-448[PubMed]

References and models cited by this paper

References and models that cite this paper

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