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')
