sim_grid = LFPy_util.sims.Grid() sim_grid.run_param['n_elec_x'] = 4 sim_grid.run_param['n_elec_y'] = 7 sim_grid.run_param['x_lim'] = [-50, 50] sim_grid.run_param['y_lim'] = [-50, 250] sim_grid.process_param['pre_dur'] = 2 # ms sim_grid.process_param['post_dur'] = 3 # ms sim_grid.process_param['spike_to_measure'] = 2 sim.push(sim_grid) return sim if __name__ == '__main__': # Download models if they do not exist. blue_brain.download_all_models(dir_model) # Names of the neurons that also match the model folders. neurons = [] neurons.append('L5_TTPC1_cADpyr232_1') # Compile and load the extra mod file(s). The ISyn electrode. mod_dir = os.path.join(blue_brain.DIR_RES, 'extra_mod') LFPy_util.other.nrnivmodl(mod_dir, suppress=True) # Simulation simm = LFPy_util.SimulatorManager() simm.concurrent_neurons = 4 simm.set_neuron_names(neurons) simm.set_sim_load_func(get_simulator) print simm
sim_sphere.run_param['R'] = 60 sim_sphere.run_param['seed'] = np.random.randint(1e5) #4321 sim_sphere.process_param['spike_to_measure'] = 2 sim_sphere.process_param['assert_width'] = True sim_sphere.plot_param['use_tex'] = False sim.push(sim_sphere) sim_morph = LFPy_util.sims.Morphology() sim_morph.plot_param['use_tex'] = False sim.push(sim_morph) return sim if __name__ == '__main__': # Download models if they do not exist. blue_brain.download_all_models(DIR_MODELS) # Names of the neurons that also match the model folders. neurons = [] neurons.append('L5_BP_bAC217_1') neurons.append('L5_BP_bAC217_2') neurons.append('L5_BP_bAC217_3') neurons.append('L5_BP_bAC217_4') neurons.append('L5_BP_bAC217_5') neurons.append('L5_BP_bIR215_1') neurons.append('L5_BP_bIR215_2') neurons.append('L5_BP_bIR215_3') neurons.append('L5_BP_bIR215_4') neurons.append('L5_BP_bIR215_5') neurons.append('L5_BP_bNAC219_1') neurons.append('L5_BP_bNAC219_2')