JS analysis IV + FI

        window.plotIV = function(protocolName, e){

            e.preventDefault();
            // figure out if we have any protocol and organize into a map
            var experiments = Project.getExperiments();
            var protocolExperimentsMap = {};
            for(var i=0; i<experiments.length; i++){
                if(experiments[i].getName().startsWith('[P]')){
                    // parse protocol pattern
                    var experimentName = experiments[i].getName();
                    var protocolName = experimentName.substring(experimentName.lastIndexOf("[P] ")+4,experimentName.lastIndexOf(" - "));
                    if(protocolExperimentsMap[protocolName] == undefined){
                        protocolExperimentsMap[protocolName] = [experiments[i]];
                    } else {
                        protocolExperimentsMap[protocolName].push(experiments[i]);
                    }
                }
            }

            // look for experiments with that name
            experiments = protocolExperimentsMap[protocolName];
            var membranePotentials = GEPPETTO.ModelFactory.getAllPotentialInstancesEndingWith('.v');
            var plotController = GEPPETTO.WidgetFactory.getController(GEPPETTO.Widgets.PLOT);
            var plotWidget = null;
            if(experiments.length > 0 && membranePotentials.length>0){
                plotWidget = G.addWidget(0).setName(protocolName + ' / IV Curve').setSize(300, 500);
            }

            var if_results = {};
            var iv_results = {};

            for(var i=0; i<experiments.length; i++){
                // loop and plot all membrane potentials
                if(experiments[i].getStatus() == 'COMPLETED'){
                    for(var j=0; j<membranePotentials.length; j++){
                        plotController.plotStateVariable(
                            Project.getId(),
                            experiments[i].getId(),
                            membranePotentials[j],
                            plotWidget
                        );
                    }
                }
            }



            for i in range(number_cells):
            t = np.array(results['t'])*1000
            v = np.array(results["%s[%i]/v"%(pop.id, i)])*1000

            if plot_voltage_traces:
            times_results.append(t)
            volts_results.append(v)
            volts_labels.append("%s nA"%stims[i])

            var min = Math.min.apply(null, arr),
                max = Math.max.apply(null, arr);

            mm = max_min(v, t, delta=0, peak_threshold=spike_threshold_mV)
            spike_times = mm['maxima_times']
            var freq = 0;
            var count = 0;
            if (spike_times.length > 2){
                count = 0
            }

            for (var i =0;i<spike_times.length;i++){
                if(spike_times[i]>=(pre_zero_pulse + analysis_delay) && (spike_times[i]< (pre_zero_pulse + analysis_duration+analysis_delay)){
                    count+=1;
                    freq = 1000 * count/float(analysis_duration);
                }
            }


            var mean_freq = mean_spike_frequency(spike_times);
        #print("--- %s nA, spike times: %s, mean_spike_frequency: %f, freq (%fms -> %fms): %f"%(stims[i],spike_times, mean_freq, analysis_delay, analysis_duration+analysis_delay, freq))
            if_results[stims[i]] = freq

            if freq == 0:
            if post_zero_pulse==0:
            iv_results[stims[i]] = v[-1]
            else:
            v_end = None
            for j in range(len(t)):
            if v_end==None and t[j]>=end_stim:
            v_end = v[j]
            iv_results[stims[i]] = v_end
        };

        window.plotFI = function(protocolName, e){

        };