import socket from utils.queue import BatchManager from utils.parameters import ParameterSpace from utils.parameters import PSlice as psl #++++general controls+++++ force_rerun_simulations = False clean_up_simulation_files = True simulate = True compress = True analyse = False #+++++parameter ranges+++++++++++++ n_grc_dend = psl(1,21,1) connectivity_rule = psl(0) # 0: tissue model, 1: random bipartite graph input_spatial_correlation_scale = psl(0) # 0: uncorrelated active_mf_fraction = psl(.1,1.,.1) gaba_scale = psl(1) # global inhibition scale. Default: 1 dta = psl(0.) inh_cond_scaling = psl(0.) # (boolean) scale inhibitory conductance to compensate for change in n_dend exc_cond_scaling = psl(1.) # (boolean) scale excitatory conductance to compensate for change in n_dend modulation_frequency = psl(0) stim_rate_mu = psl(80) # (Hz) default: 80 stim_rate_sigma = psl(0) noise_rate_mu = psl(10) # (Hz) default: 10 noise_rate_sigma = psl(0) n_stim_patterns = psl(1024) n_trials = psl(1) # typically, 1 when simulating and 60 when analysing sim_duration = psl(3750.) # (s) typically, 3750 when simulating and 180 when analysing
plot_mi_detail = False plot_dendrograms = False plot_mutual_information = False plot_kl_divergence = False plot_barcodes = False plot_activity_levels = False plot_out_entropy = False plot_noise_entropy = False plot_separation = False plot_synchrony = False plot_distance_matrix = False plot_mi_vs_activity = False plot_mi_vs_dn_and_sparsity = False #+++++parameter ranges+++++++++++++ n_grc_dend = psl(1,21,1) connectivity_rule = psl(0) # 0: tissue model, 1: random bipartite graph input_spatial_correlation_scale = psl(0) # 0: uncorrelated active_mf_fraction = psl(.05,1.,.05) gaba_scale = psl(1) dta = psl(0.) inh_cond_scaling = psl(0.) exc_cond_scaling = psl(1.) modulation_frequency = psl(0) stim_rate_mu = psl(80) stim_rate_sigma = psl(0) noise_rate_mu = psl(10) noise_rate_sigma = psl(0) n_stim_patterns = psl(1024) n_trials = psl(60) sim_duration = psl(180)
