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Brain networks simulators - a comparative study (Tikidji-Hamburyan et al 2017)
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Accession:
222725
" ... In this article, we select the three most popular simulators, as determined by the number of models in the ModelDB database, such as NEURON, GENESIS, and BRIAN, and perform an independent evaluation of these simulators. In addition, we study NEST, one of the lead simulators of the Human Brain Project. First, we study them based on one of the most important characteristics, the range of supported models. Our investigation reveals that brain network simulators may be biased toward supporting a specific set of models. ... we carry out an evaluation using two case studies: a large network with simplified neural and synaptic models and a small network with detailed models. These two case studies allow us to avoid any bias toward a particular software package ..."
Reference:
1 .
Tikidji-Hamburyan RA, Narayana V, Bozkus Z, El-Ghazawi TA (2017) Software for Brain Network Simulations: A Comparative Study
Front. Neuroinform.
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Model Information
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Model Type:
Brain Region(s)/Organism:
Cell Type(s):
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment:
Brian;
NEST;
NEURON;
GENESIS;
Python;
Model Concept(s):
Methods;
Implementer(s):
Tikidji-Hamburyan, Ruben [ruben.tikidji.hamburyan at gmail.com] ;
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NESTvsNEURONvsBRIAN
CaseStudy1-5000LIF
BRIAN
NEST
NEURON
Benchmark.sh
BenchmarkAndMemory.sh
CaseStudy1-BRIAN.jpg
CaseStudy1-NEST.jpg
CaseStudy1-NEURON.jpg
ee.ssv
ei.ssv
ie.ssv
ii.ssv
input.ssv
se.ssv
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