def analyse(self, traj, network, current_subrun, subrun_list, network_dict):
        if len(subrun_list)==0:

            traj.f_add_result(BrianMonitorResult, 'monitors.spikes_e', self.spike_monitor,
                              comment = 'The spiketimes of the excitatory population')

            traj.f_add_result(BrianMonitorResult, 'monitors.V', self.V_monitor,
                              comment = 'Membrane voltage of four neurons from 2 clusters')

            traj.f_add_result(BrianMonitorResult, 'monitors.I_syn_e', self.I_syn_e_monitor,
                              comment = 'I_syn_e of four neurons from 2 clusters')

            traj.f_add_result(BrianMonitorResult, 'monitors.I_syn_i', self.I_syn_i_monitor,
                              comment = 'I_syn_i of four neurons from 2 clusters')

            print 'Plotting'

            if traj.parameters.analysis.make_plots:
                self._print_graphs(traj)
Extracts monitor data and plots.
dataset/ETHPy150Open SmokinCaterpillar/pypet/examples/example_11_large_scale_brian_simulation/clusternet.py/CNMonitorAnalysis.analyse