import LFPy_util from load_model import get_cell from new_simulation_class import CustomSimulation sim = LFPy_util.Simulator() sim.set_cell_load_func(get_cell) # The string is passed to the get_cell function. sim.set_neuron_name("pyramidal_1") sim_custom_1 = CustomSimulation() sim_custom_1.run_param['amp'] = 1.25 # nA sim_custom_2 = CustomSimulation() sim_custom_2.run_param['amp'] = 0.75 # nA # Avoid sim_custom_2 overwriting the data from sim_custom_1. sim_custom_2.set_name("custom_sim_2") # Add the simulations to a list we want to run. sim.push(sim_custom_1) sim.push(sim_custom_2) sim.simulate() sim.plot()
# Import the get_cell function defined previously. from load_model import get_cell # Import the newly defined simulation class. from new_simulation_class import CustomSimulation # Load the model, using a string to identify which model will be returned. cell = get_cell("pyramidal_1") # Create an instance of the custom simulation class. sim_custom = CustomSimulation() sim_custom.simulate(cell) sim_custom.process_data() # Plots are stored in a folder called first_simulation. sim_custom.plot("first_simulation")