Python scripts for analysis and plotting

fig1.py, fig2.py, fig3.py, fig4.py, fig5.py, fig6.py, fig7.py: reproduce the figures of the paper using the data and additional figure files in this repository. binary_network_asymm.py, binary_network_symm.py, g_gamma_K_scaling.py, ginzburg_network_dist_Kin_scale.py, inhibitory_LIF_network.py: NEST simulation scripts for random recurrent networks. parameters_binary_asymm.py, parameters_binary_symm.py, parameters_ginzburg.py, parameters_inhibitory_LIF_network.py: corresponding parameter files. hambach_run_g_gamma_K_scaling.py, hambach_run_inhibitory_LIF_network.py, hambach_run_sim_dist_Kin_scale.py: scripts for running the corresponding simulations on a cluster. h5py_wrapper.py: for storing and loading h5 files. plotfuncs.py, plot_utils.py, ps_manip.py: general plotting scripts. ginzburg_theory.py, ginzburg_theory_distKin.py, hawkesnet.py, siegert.py: contain functions for computing covariances and related quantities. microcircuit_analysis.py: functions for loading and analyzing data from simulations of the Potjans and Diesmann (Cereb Cortex, 2014) microcircuit model. microcircuit: folder containing NEST simulation scripts for the Potjans and Diesmann microcircuit model.