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Statistics of symmetry measure for networks of neurons (Esposito et al. 2014)
 
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Accession:
151692
The code reproduces Figures 1, 2, 3A and 3C from Esposito et al "Measuring symmetry, asymmetry and randomness in neural networks". It provides the statistics of the symmetry measure defined in the paper for networks of neurons with random connections drawn from uniform and gaussian distributions.
Reference:
1 .
Esposito U, Giugliano M, van Rossum M, Vasilaki E (2014) Measuring symmetry, asymmetry and randomness in neural network connectivity.
PLoS One
9
:e100805
[
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:
MATLAB;
Model Concept(s):
Connectivity matrix;
Implementer(s):
/
EspositoEtAl2013
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