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Logarithmic distributions prove that intrinsic learning is Hebbian (Scheler 2017)

modeldb.science/239003

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Name		Name	Last commit message	Last commit date
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ezyfit		ezyfit
gscheler-GNN-40349ef		gscheler-GNN-40349ef
readme.html		readme.html

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The code associated with the paper:</p>
 Scheler G (2017) Logarithmic distributions prove that intrinsic learning is Hebbian. F1000Res 6:1222<br/>
<a href="http://dx.doi.org/10.12688/f1000research.12130.2">http://dx.doi.org/10.12688/f1000research.12130.2</a><p/>
is available from the above paper's links to the author's Zenodo page:<p/>
<a href="https://doi.org/10.5281/zenodo.82994949">https://doi.org/10.5281/zenodo.82994949</a><p/>
and github repository:<p/>
<a href="https://github.com/gscheler/GNN/tree/v0.1">https://github.com/gscheler/GNN/tree/v0.1</a><p>
and also in this ModelDB entry (downloaded from Zenodo 20190517).
<p/>
Usage:

Download and extract the GNN-v0.1.zip ezyfit2.45.zip from the above
links which will create the ezfit and gscheler-GNN-40349ef folders
(provided in this ModelDB entry). Start matlab and add these two
folders to your matlab path.

sim_G_adj and sim_W_adj can be run on the command line and generate
distributions of weights in 80 interations each.
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