Parallel network simulations with NEURON (Migliore et al 2006)

 Download zip file   Auto-launch 
Help downloading and running models
The NEURON simulation environment has been extended to support parallel network simulations. The performance of three published network models with very different spike patterns exhibits superlinear speedup on Beowulf clusters.
1 . Migliore M, Cannia C, Lytton WW, Markram H, Hines ML (2006) Parallel network simulations with NEURON. J Comput Neurosci 21:119-29 [PubMed]
Citations  Citation Browser
Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network;
Brain Region(s)/Organism:
Cell Type(s):
Gap Junctions:
Simulation Environment: NEURON;
Model Concept(s): Methods;
Implementer(s): Hines, Michael [Michael.Hines at];
readme.html *
bgka.mod *
CaBK.mod *
ccanl.mod *
Gfluct2.mod *
gskch.mod *
hyperde3.mod *
ichan2.mod *
LcaMig.mod *
nca.mod *
tca.mod *
DG500_M7.hoc *
dgnetactivity.jpg *
dgnettraces.jpg *
initorig.hoc *
modstat *
mosinit.hoc *
RI10sp.hoc *
time *
Santhakumar V, Aradi I, Soltesz I (2005) Role of mossy fiber sprouting
and mossy cell loss in hyperexcitability: a network model of the dentate
gyrus incorporating cell types and axonal topography. /J Neurophysiol/ *93*:437-53

Note: a diagram of the model is one of the figures of the paper.
I cannot say at the moment how many states the model has because some
mod files cannot be used with
the variable time step method.

527 cells
 500 Granule, 9 compartments, 7 Mechanisms
 6 Basket, 17 compartments, 7 Mechanisms
 15 Mossy, 17 compartments, 8 Mechanisms
 6 HIPP, 13 compartments, 8 Mechanisms
11293 NetCon into 4875 Exp2Syn

300 ms,  2861 spikes generated, 50136 spikes delivered.