This is A PREVIEW for NEST 3.0 and NOT an OFFICIAL RELEASE! Some functionality may not be available and information may be incomplete!
This is a PyNEST implementation of the cortical microcircuit model by Potjans and Diesmann 1. The network model represents 4 layers of cortex, L2/3, L4, L5, and L6, each consisting of 2 populations of excitatory and inhibitory neurons. The original sli version can be found here.
Potjans TC. and Diesmann M. 2014. The cell-type specific cortical microcircuit: relating structure and activity in a full-scale spiking network model. Cerebral Cortex. 24(3):785–806. DOI: 10.1093/cercor/bhs358.
Authors: Hendrik Rothe, Hannah Bos, Sacha van Albada May 2016
Tested configuration: This version has been tested with NEST 2.10.0, Python 2.7.12 and 3.5.2, NumPy 1.11.2