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Translating network models to parallel hardware in NEURON (Hines and Carnevale 2008)
 
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Accession:
96444
Shows how to move a working network model written in NEURON from a serial processor to a parallel machine in such a way that the final result will produce numerically identical results on either serial or parallel hardware.
Reference:
1 .
Hines ML, Carnevale NT (2008) Translating network models to parallel hardware in NEURON.
J Neurosci Methods
169
:425-55
[
PubMed
]
Model Information
(Click on a link to find other models with that property)
Model Type:
Realistic Network;
Brain Region(s)/Organism:
Cell Type(s):
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment:
NEURON;
Model Concept(s):
Simplified Models;
Methods;
Implementer(s):
Carnevale, Ted [Ted.Carnevale at Yale.edu];
Hines, Michael [Michael.Hines at Yale.edu];
/
HinesCarnevaleJNM2007
random
exp2sid.mod
expsid.mod
cellid.hoc
ran3par.hoc
ran3ser.hoc
ranstream.hoc
*
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Encoding and retrieval in a model of the hippocampal CA1 microcircuit (Cutsuridis et al. 2009)
Long time windows from theta modulated inhib. in entorhinal–hippo. loop (Cutsuridis & Poirazi 2015)
Spine head calcium in a CA1 pyramidal cell model (Graham et al. 2014)
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