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Plotting scripts

Plotting scripts used to generate figures for:

Golosio, B.; Villamar, J.; Tiddia, G.; Pastorelli, E.; Stapmanns, J.; Fanti, V.; Paolucci, P.S.; Morrison, A.; Senk, J. Runtime Construction of Large-Scale Spiking Neuronal Network Models on GPU Devices. Appl. Sci. 2023, 13, 9598. https://doi.org/10.3390/app13179598

Contents

Cortical Microcircuit

plot_cm.py to generate figures 3, 4, and A4 in the paper; cm_net_constr.pdf, cm_real_time_fact.pdf and cm_overall_real_time_fact.pdf respectively.

To generate new plots from new data, the scripts assumes that the data to be loaded follows the structure given by the gather_data.py script in the model directories. Furthermore it is necessary to update the paths in lines L24 - L50 with the desired directories containing the corresponding new data.

Two-populations network

plot_tpn.py to generate figures 5 and A5 in the paper;cm_net_constr.pdf, and cm_tot.pdf respectively.

To generate new plots from new data, the scripts assumes that the data to be loaded follows the structure given by the gather_data.py script in the model directories. Furthermore it is necessary to update the paths in line L30 with the desired directory containing the corresponding new data.

COPASS algorithm

copass_plot.py to generate figure A1 in the paper, copass.pdf.