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Microcircuit Model

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.

.. toctree::
  :maxdepth: 1

  example

  network_params
  sim_params
  stimulus_params

  api_potjans/modules

References

[1]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