default Software of simulation of current based and conductance based integrate and fire network Popular

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Here we report the code developed and used in the paper:

Cavallari S, Panzeri S and Mazzoni A (2014) Comparison of the dynamics of neural interactions between current-based and conductance-based integrate-and-fire recurrent networks. Front. Neural Circuits 8:12. doi: 10.3389/fncir.2014.00012

The code is made available in the ModelDB sharing repository:
http://senselab.med.yale.edu/ModelDB/ShowModel.asp?model=152539

with accession number 152539



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FP7-70pxeu-flag-70pxfet-70pxThe project SI-CODE acknowledges the financial support of the Future and Emerging Technologies (FET) programme within the Seventh Framework Programme for Research of the European Commission, under FET-Open grant number: FP7-284553
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