The EI-network

Network of 12,500 randomly connected excitatory and inhibitory neurons. This example provides the same network with comparable dynamics using multi-compartmental models (BioNet), glif point-neuron models (PointNet), and population models (PopNet).

Running the models

The scripts for building the network and running the simulations can be found in each simulators subdirectory. To build and run a simulation for BioNet:

	$ cd bionet
	$ python build_network.py
	$ python run_bionet.py config.json

And for PointNet (or PopNet) replace "bionet" with "pointnet" (or "popnet").

Analyzing the results

Unless changed in the config.json file, simulation results will be saved to the output directory by default. BioNet and PointNet will produce spike-trains for each neuron. While PopNet will produce the firing-rate dynamics of the two populations.