def runSim(self, index, prefix, data):
        simRef = prefix + str(index)
        densities = data["densities"]
        channels = data["channels"]
        locations = data["locations"]

        self.logger.debug("Going to run simulation: " + simRef)        
        stim = self.myProject.elecInputInfo.getStim(self.stimulation)
        self.logger.debug("Stimulation data: " + str(stim))
                
        cell = self.myProject.cellManager.getCell(self.cellName) 
        # hier werden die oben ausgelesenen Daten einzeln dem Konstruktor der Simulation übergeben:
        for i in range(len(densities)):
            chanMech = ChannelMechanism(channels[i], densities[i]) # Konstruktor
            cell.associateGroupWithChanMech(locations[i], chanMech)

        self.myProject.simulationParameters.setReference(simRef)
        self.myProject.neuronFileManager.generateTheNeuronFiles(self.simConfig, None, NeuronFileManager.RUN_HOC, self.simulatorSeed)
        self.logger.debug("Generated NEURON files for: " + simRef)
        compileProcess = ProcessManager(self.myProject.neuronFileManager.getMainHocFile())
        compileSuccess = compileProcess.compileFileWithNeuron(0, 0)
        self.logger.debug("Compiled NEURON files for: " + simRef)
        if compileSuccess:
            self.pm.doRunNeuron(self.simConfig)
            self.logger.info("Set running simulation: " + simRef)
            self.simsRunning.append(simRef)
            return True
        self.logger.error("Could not run simulation: " + simRef)
        return False
project.generatedNetworkConnections.addSynapticConnection('aEPSP_Vervaeke_pf',
							  0, 0, 0, 0.5, 0,
							  stim_seg_detailed,
							  0.5, 0, None)
# delete all existing probes
project.generatedPlotSaves.reset()

# set up voltage recording at the specified points along the dendrite being stimulated
project.generatedPlotSaves.addPlotSaveDetails('Golgi_reduced_v', project.simPlotInfo.getSimPlot('Golgi_reduced_v'), ArrayList([0]), ArrayList(rec_segs_reduced), False, False)
project.generatedPlotSaves.addPlotSaveDetails('Golgi_detailed_v', project.simPlotInfo.getSimPlot('Golgi_detailed_v'), ArrayList([0]), ArrayList(rec_segs_detailed), False, False)

# generate and compile neuron files
print "Generating NEURON scripts..."
simulator_seed = random.getrandbits(32)
project.neuronFileManager.generateTheNeuronFiles(sim_config, None, NeuronFileManager.RUN_HOC,simulator_seed)
compile_process = ProcessManager(project.neuronFileManager.getMainHocFile())
compile_success = compile_process.compileFileWithNeuron(0,0)
# simulate
if compile_success:
    print "Simulating: simulation reference " + sim_ref
    pm.doRunNeuron(sim_config)
    timefile_path = sim_path + '/time.dat'
    while not os.path.exists(timefile_path):
	time.sleep(0.1)

data_string = "Data reference " + sim_ref
for k,i in enumerate(rec_segs_detailed):
    data_string = data_string + " " + str(i) + " " + str(rec_dists_detailed[k])
print data_string

System.exit(0)
	  print "group generated: "+simConfig.getCellGroups().toString()
	  print "going to stimulate: "+simConfig.getInputs().toString()
	  print "going to record: "+simConfig.getPlots().toString()

	  pm.doGenerate(simConfig.getName(), randomseed)
	
	  while pm.isGenerating():
	    print "Waiting for the project to be generated..."
	    time.sleep(2)	
	 
	  myProject.neuronFileManager.setSuggestedRemoteRunTime(10)
	  myProject.neuronFileManager.generateTheNeuronFiles(simConfig, None, NeuronFileManager.RUN_HOC, randomseed)
      
	  print "Generated NEURON files for: "+simRef	
	  compileProcess = ProcessManager(myProject.neuronFileManager.getMainHocFile())	
	  compileSuccess = compileProcess.compileFileWithNeuron(0,0)	
	  print "Compiled NEURON files for: "+simRef

	  if compileSuccess:
	     pm.doRunNeuron(simConfig)
	     print "Set running simulation: "+simRef

	  time.sleep(5) # wait for the process to be sent out   

	  #####################'''
	  	  
	  '''##### Rerunning the same configuration + background exc #####
	  
	  simRef = prefix+"syn"+str(synapses)+"E1500_"+str(t)
	  print "Simref: "+simRef
Esempio n. 4
0
	def make_fF_Curve(self,
                          projFile,
                          simulator,
                          simConfig,
                          nTrains,
                          simDuration,
                          analyseStartTime, analyseStopTime,
                          analyseThreshold,
                          maxNumSimultaneousSims = 4):

			# Load neuroConstruct project

			print "Loading project from file: " + projFile.getAbsolutePath()+", exists: "+ str(projFile.exists())

			pm = ProjectManager()
			self.myProject = pm.loadProject(projFile)
			self.simulator = simulator

			simConfig = self.myProject.simConfigInfo.getSimConfig(simConfig)

			simConfig.setSimDuration(simDuration)

			pm.doGenerate(simConfig.getName(), self.neuroConstructSeed)

			while pm.isGenerating():
					print "Waiting for the project to be generated with Simulation Configuration: "+str(simConfig)
					time.sleep(2)

			numGenerated = self.myProject.generatedCellPositions.getNumberInAllCellGroups()

			print "Number of cells generated: " + str(numGenerated)

			simReferences = {}


			if numGenerated > 0:

					print "Generating scripts for simulator: %s..."%simulator

					if simulator == 'NEURON':
						self.myProject.neuronFileManager.setQuitAfterRun(1) # Remove this line to leave the NEURON sim windows open after finishing
						self.myProject.neuronSettings.setCopySimFiles(1) # 1 copies hoc/mod files to PySim_0 etc. and will allow multiple sims to run at once
						self.myProject.neuronSettings.setGraphicsMode(0) # 0 hides graphs during execution
                        
					if simulator == 'GENESIS':
						self.myProject.genesisFileManager.setQuitAfterRun(1) # Remove this line to leave the NEURON sim windows open after finishing
						self.myProject.genesisSettings.setCopySimFiles(1) # 1 copies hoc/mod files to PySim_0 etc. and will allow multiple sims to run at once
						self.myProject.genesisSettings.setGraphicsMode(0) # 0 hides graphs during execution


					currentTrain = 0

					ADD_TO_START_FINITIALIZE = self.myProject.neuronSettings.getNativeBlock(NativeCodeLocation.START_FINITIALIZE)
					ADD_TO_RECORD_I = self.myProject.neuronSettings.getNativeBlock(NativeCodeLocation.AFTER_SIMULATION)

					while currentTrain <= nTrains:

							while (len(self.simsRunning)>=maxNumSimultaneousSims):
									print "Sims currently running: "+str(self.simsRunning)
									print "Waiting..."
									time.sleep(3) # wait a while...
									self.updateSimsRunning()


							simRef = "PySim_"+str(currentTrain)

							print "Going to run simulation: "+simRef

							########  Adjusting the amplitude of the Voltage clamp ###############

                                                        TEXT_BEFORE_CREATION = """objref vector, gTrainFile\n""" + "objectvar clamp\n"

                                                        ### TEXT_BEFORE_INIT = "GranuleCell_mod_tonic[0].Soma {\n" + "clampobj = new VClamp(0.5)\n" + "clampobj.dur[0] = " + str(stimDur) + "\n" + "clampobj.amp[0] = " + str(stimAmp) + "\n" +  "}\n" # This should do the trick

                                                        TEXT_START_FINITIALIZE = "\n" + "gTrainFile = new File() \n" + "vector = new Vector(100000) \n" + "access GranuleCell_mod_tonic[0].Soma \n" + "clamp = new SEClamp(0.5) \n" + "clamp.amp1 = 0 \n" + "clamp.dur1 = 1e9 \n" + """gTrainFile.ropen("E:/neuroConstruct/models/Dan_GranCell/gTrains_nS/gAMPA_""" + str(currentTrain) + """.txt") \n""" + "vector.scanf(gTrainFile) \n" + "gTrainFile.close \n" + "for i = 0, vector.size() -1 { \n" + "     if (vector.x[i] <= 0) { \n" + "          vector.x[i] = 1e-20 \n" + "              } \n" + "        } \n" + "for i = 0, vector.size() -1 { \n" + "    vector.x[i] = ( 1 / vector.x[i] ) * 1000 \n" + "    } \n" + "vector.play(&clamp.rs, 0.03) \n" # This

                                                        TEXT_START_FINITIALIZE = TEXT_START_FINITIALIZE + ADD_TO_START_FINITIALIZE

                                                        TEXT_TO_RECORD_I = """// currently not used \n"""

                                                        TEXT_TO_RECORD_I = TEXT_TO_RECORD_I + ADD_TO_RECORD_I

                                                        self.myProject.neuronSettings.setNativeBlock(NativeCodeLocation.BEFORE_CELL_CREATION, TEXT_BEFORE_CREATION)
                                                        self.myProject.neuronSettings.setNativeBlock(NativeCodeLocation.START_FINITIALIZE, TEXT_START_FINITIALIZE)
                                                        self.myProject.neuronSettings.setNativeBlock(NativeCodeLocation.AFTER_SIMULATION, TEXT_TO_RECORD_I)

					
							print "Next Train: "+ str(currentTrain)

							self.myProject.simulationParameters.setReference(simRef)

							if simulator == "NEURON":
									self.myProject.neuronFileManager.generateTheNeuronFiles(simConfig,
																							None,
																							NeuronFileManager.RUN_HOC,
																							self.simulatorSeed)

									print "Generated NEURON files for: "+simRef

									compileProcess = ProcessManager(self.myProject.neuronFileManager.getMainHocFile())

									compileSuccess = compileProcess.compileFileWithNeuron(0,0)

									print "Compiled NEURON files for: "+simRef

									if compileSuccess:
													pm.doRunNeuron(simConfig)
													print "Set running simulation: "+simRef
													self.simsRunning.append(simRef)

							if simulator == "GENESIS":
									compartmentalisation = GenesisCompartmentalisation()

									self.myProject.genesisFileManager.generateTheGenesisFiles(simConfig,
																							None,
																							compartmentalisation,
																							self.simulatorSeed)
									print "Generated GENESIS files for: "+simRef

									pm.doRunGenesis(simConfig)
									print "Set running simulation: "+simRef
									self.simsRunning.append(simRef)

							time.sleep(1) # Wait for sim to be kicked off
							simReferences[simRef] = currentTrain
							currentTrain = currentTrain + 1

					print
					print "Finished running "+str(len(simReferences))+" simulations for project "+ projFile.getAbsolutePath()
					print "These can be loaded and replayed in the previous simulation browser in the GUI"
					print

			while (len(self.simsRunning)>0):
					print "Sims currently running: "+str(self.simsRunning)
					print "Waiting..."
					time.sleep(4) # wait a while...
					self.updateSimsRunning()

			#simReferences = {'PySim_0.3':0.3,'PySim_0.4':0.4,'PySim_0.5':0.5}

			plotFrameFf = PlotManager.getPlotterFrame("F-f curve from project: "+str(self.myProject.getProjectFile())+" on "+simulator , 1, 1)

			plotFrameVolts = PlotManager.getPlotterFrame("VoltageTraces from project: "+str(self.myProject.getProjectFile())+" on "+simulator , 1, 1)

			plotFrameFf.setViewMode(PlotCanvas.INCLUDE_ORIGIN_VIEW)

			info = "F-f curve for Simulation Configuration: "+str(simConfig)

			dataSet = DataSet(info, info, "Hz", "Hz", "Input_Freq", "Output_Freq")
			dataSet.setGraphFormat(PlotCanvas.USE_CIRCLES_FOR_PLOT)

			simList = simReferences.keys()
			simList.sort()
			
		        traininfos = open("E:/neuroConstruct/models/Dan_GranCell/gAMPA_traininfo.txt")
			train_info_list = traininfos.readlines()
			currentTrain = 0

			for sim in simList:

					simDir = File(projFile.getParentFile(), "E:/neuroConstruct/models/Dan_GranCell/simulations/"+sim)
					print
					print "--- Reloading data from simulation in directory: %s"%simDir.getCanonicalPath()
					try:
							simData = SimulationData(simDir)
							simData.initialise()
							print "Data loaded: "
							print simData.getAllLoadedDataStores()
							times = simData.getAllTimes()
							cellSegmentRef = simConfig.getCellGroups().get(0)+"_0"
							volts = simData.getVoltageAtAllTimes(cellSegmentRef)

							time.sleep(2)

							traceInfo = "Voltage at: %s in simulation: %s"%(cellSegmentRef, sim)

							dataSetV = DataSet(traceInfo, traceInfo, "ms", "mV", "Time", "Membrane Potential")

                                                        
                                                        Spike_List = []

                                                        Spike_List.append(0.00)

							for i in range(len(times)):
								dataSetV.addPoint(times[i], volts[i])

							for i in range(len(times)):
								if (volts[i] > 0.0):
                                                                        if (times[i] - Spike_List[len(Spike_List)-1] > 0.50):
                                                                                Spike_List.append(times[i])

                                                                                
                                                        Spike_List.remove(0.00)
        

							plotFrameVolts.addDataSet(dataSetV)

							spikeTimes = SpikeAnalyser.getSpikeTimes(volts, times, analyseThreshold, analyseStartTime, analyseStopTime)

							currentTrain_Freq = float(train_info_list[currentTrain-1])

							
							print "Number of spikes in sim %s: %i"%(sim, len(spikeTimes))
							avgFreq = 0
							if len(Spike_List)>0:
									avgFreq = 1000.0 / ((Spike_List[len(Spike_List)-1] - Spike_List[0]) / (len(Spike_List) -1))
									dataSet.addPoint(currentTrain_Freq,avgFreq)
							currentTrain = currentTrain + 1

							
					except:
							print "Error analysing simulation data from: %s"%simDir.getCanonicalPath()
							print sys.exc_info()[0]


			plotFrameFf.addDataSet(dataSet)
Esempio n. 5
0
	def generateF_ICurve(self,
                         projFile,
                         simulator,
                         simConfig,
                         preStimAmp, preStimDel, preStimDur,
                         stimAmpLow, stimAmpInc, stimAmpHigh,
                         stimDel, stimDur,
                         simDuration,
                         analyseStartTime, analyseStopTime,
                         analyseThreshold,
                         maxNumSimultaneousSims = 4):

			# Load neuroConstruct project

			print "Loading project from file: " + projFile.getAbsolutePath()+", exists: "+ str(projFile.exists())

			pm = ProjectManager()
			self.myProject = pm.loadProject(projFile)
			self.simulator = simulator

			simConfig = self.myProject.simConfigInfo.getSimConfig(simConfig)

			simConfig.setSimDuration(simDuration)

			pm.doGenerate(simConfig.getName(), self.neuroConstructSeed)

			while pm.isGenerating():
					print "Waiting for the project to be generated with Simulation Configuration: "+str(simConfig)
					time.sleep(2)

			numGenerated = self.myProject.generatedCellPositions.getNumberInAllCellGroups()

			print "Number of cells generated: " + str(numGenerated)

			simReferences = {}


			if numGenerated > 0:

					print "Generating scripts for simulator: %s..."%simulator

					if simulator == 'NEURON':
						self.myProject.neuronFileManager.setQuitAfterRun(1) # Remove this line to leave the NEURON sim windows open after finishing
						self.myProject.neuronSettings.setCopySimFiles(1) # 1 copies hoc/mod files to PySim_0 etc. and will allow multiple sims to run at once
						self.myProject.neuronSettings.setGraphicsMode(0) # 0 hides graphs during execution
                        
					if simulator == 'GENESIS':
						self.myProject.genesisFileManager.setQuitAfterRun(1) # Remove this line to leave the NEURON sim windows open after finishing
						self.myProject.genesisSettings.setCopySimFiles(1) # 1 copies hoc/mod files to PySim_0 etc. and will allow multiple sims to run at once
						self.myProject.genesisSettings.setGraphicsMode(0) # 0 hides graphs during execution


					stimAmp = stimAmpLow

					while stimAmp <= stimAmpHigh:

							while (len(self.simsRunning)>=maxNumSimultaneousSims):
									print "Sims currently running: "+str(self.simsRunning)
									print "Waiting..."
									time.sleep(3) # wait a while...
									self.updateSimsRunning()


							simRef = "PySim_"+str(float(stimAmp))

							print "Going to run simulation: "+simRef

							########  Adjusting the amplitude of the current clamp ###############

                                                        # preStim = self.myProject.elecInputInfo.getStim(simConfig.getInputs().get(0))
							preStim = self.myProject.elecInputInfo.getStim("Input_3")

							preStim.setAmp(NumberGenerator(preStimAmp))
							preStim.setDel(NumberGenerator(preStimDel))
							preStim.setDur(NumberGenerator(preStimDur))
							self.myProject.elecInputInfo.updateStim(preStim)


							# stim = self.myProject.elecInputInfo.getStim(simConfig.getInputs().get(1))
							stim = self.myProject.elecInputInfo.getStim("Input_4")
							

							stim.setAmp(NumberGenerator(stimAmp))
							stim.setDel(NumberGenerator(stimDel))
							stim.setDur(NumberGenerator(stimDur))
							self.myProject.elecInputInfo.updateStim(stim)

							print "Next stim: "+ str(stim)

							self.myProject.simulationParameters.setReference(simRef)

							if simulator == "NEURON":
									self.myProject.neuronFileManager.generateTheNeuronFiles(simConfig,
																							None,
																							NeuronFileManager.RUN_HOC,
																							self.simulatorSeed)

									print "Generated NEURON files for: "+simRef

									compileProcess = ProcessManager(self.myProject.neuronFileManager.getMainHocFile())

									compileSuccess = compileProcess.compileFileWithNeuron(0,0)

									print "Compiled NEURON files for: "+simRef

									if compileSuccess:
													pm.doRunNeuron(simConfig)
													print "Set running simulation: "+simRef
													self.simsRunning.append(simRef)

							if simulator == "GENESIS":
									compartmentalisation = GenesisCompartmentalisation()

									self.myProject.genesisFileManager.generateTheGenesisFiles(simConfig,
																							None,
																							compartmentalisation,
																							self.simulatorSeed)
									print "Generated GENESIS files for: "+simRef

									pm.doRunGenesis(simConfig)
									print "Set running simulation: "+simRef
									self.simsRunning.append(simRef)

							time.sleep(1) # Wait for sim to be kicked off
							simReferences[simRef] = stimAmp
							stimAmp = stimAmp +stimAmpInc

					print
					print "Finished running "+str(len(simReferences))+" simulations for project "+ projFile.getAbsolutePath()
					print "These can be loaded and replayed in the previous simulation browser in the GUI"
					print

			while (len(self.simsRunning)>0):
					print "Sims currently running: "+str(self.simsRunning)
					print "Waiting..."
					time.sleep(4) # wait a while...
					self.updateSimsRunning()

			#simReferences = {'PySim_0.3':0.3,'PySim_0.4':0.4,'PySim_0.5':0.5}

			plotFrameFI = PlotManager.getPlotterFrame("F-I curve from project: "+str(self.myProject.getProjectFile())+" on "+simulator , 1, 1)
			plotFrameVolts = PlotManager.getPlotterFrame("VoltageTraces from project: "+str(self.myProject.getProjectFile())+" on "+simulator , 1, 1)

			plotFrameFI.setViewMode(PlotCanvas.INCLUDE_ORIGIN_VIEW)

			info = "F-I curve for Simulation Configuration: "+str(simConfig)

			dataSet = DataSet(info, info, "nA", "Hz", "Current injected", "Firing frequency")
			dataSet.setGraphFormat(PlotCanvas.USE_CIRCLES_FOR_PLOT)

			simList = simReferences.keys()
			simList.sort()

			for sim in simList:

					simDir = File(projFile.getParentFile(), "/neuroConstruct/models/Dan_GranCell/simulations/"+sim)
					print
					print "--- Reloading data from simulation in directory: %s"%simDir.getCanonicalPath()
					try:
							simData = SimulationData(simDir)
							simData.initialise()
							print "Data loaded: "
							print simData.getAllLoadedDataStores()
							times = simData.getAllTimes()
							cellSegmentRef = simConfig.getCellGroups().get(0)+"_0"
							volts = simData.getVoltageAtAllTimes(cellSegmentRef)

							traceInfo = "Voltage at: %s in simulation: %s"%(cellSegmentRef, sim)

							dataSetV = DataSet(traceInfo, traceInfo, "mV", "ms", "Membrane potential", "Time")
							for i in range(len(times)):
									dataSetV.addPoint(times[i], volts[i])

							plotFrameVolts.addDataSet(dataSetV)

							spikeTimes = SpikeAnalyser.getSpikeTimes(volts, times, analyseThreshold, analyseStartTime, analyseStopTime)
							stimAmp = simReferences[sim]
							print "Number of spikes at %f nA in sim %s: %i"%(stimAmp, sim, len(spikeTimes))
							avgFreq = 0
							if len(spikeTimes)>1:
									avgFreq = len(spikeTimes)/ ((analyseStopTime - analyseStartTime)/1000.0)
									dataSet.addPoint(stimAmp,avgFreq)
					except:
							print "Error analysing simulation data from: %s"%simDir.getCanonicalPath()
							print sys.exc_info()[0]


			plotFrameFI.addDataSet(dataSet)
Esempio n. 6
0
	def generateV_ICurve(self,
                         projFile,
                         simulator,
                         simConfig,
                         stimAmpLow, stimAmpInc, stimAmpHigh,
                         stimDur,
                         simDuration,
                         maxNumSimultaneousSims = 4):

			# Load neuroConstruct project

			print "Loading project from file: " + projFile.getAbsolutePath()+", exists: "+ str(projFile.exists())

			pm = ProjectManager()
			self.myProject = pm.loadProject(projFile)
			self.simulator = simulator

			simConfig = self.myProject.simConfigInfo.getSimConfig(simConfig)

			simConfig.setSimDuration(simDuration)

			pm.doGenerate(simConfig.getName(), self.neuroConstructSeed)

			while pm.isGenerating():
					print "Waiting for the project to be generated with Simulation Configuration: "+str(simConfig)
					time.sleep(2)

			numGenerated = self.myProject.generatedCellPositions.getNumberInAllCellGroups()

			print "Number of cells generated: " + str(numGenerated)

			simReferences = {}


			if numGenerated > 0:

					print "Generating scripts for simulator: %s..."%simulator

					if simulator == 'NEURON':
						self.myProject.neuronFileManager.setQuitAfterRun(1) # Remove this line to leave the NEURON sim windows open after finishing
						self.myProject.neuronSettings.setCopySimFiles(1) # 1 copies hoc/mod files to PySim_0 etc. and will allow multiple sims to run at once
						self.myProject.neuronSettings.setGraphicsMode(0) # 0 hides graphs during execution
                        
					if simulator == 'GENESIS':
						self.myProject.genesisFileManager.setQuitAfterRun(1) # Remove this line to leave the NEURON sim windows open after finishing
						self.myProject.genesisSettings.setCopySimFiles(1) # 1 copies hoc/mod files to PySim_0 etc. and will allow multiple sims to run at once
						self.myProject.genesisSettings.setGraphicsMode(0) # 0 hides graphs during execution


					stimAmp = stimAmpLow

					ADD_TO_BEFORE_INIT = self.myProject.neuronSettings.getNativeBlock(NativeCodeLocation.BEFORE_INITIAL)
					ADD_TO_RECORD_I = self.myProject.neuronSettings.getNativeBlock(NativeCodeLocation.AFTER_SIMULATION)
					ADD_TO_START_FINITIALIZE = self.myProject.neuronSettings.getNativeBlock(NativeCodeLocation.START_FINITIALIZE)

					while stimAmp <= stimAmpHigh:

							while (len(self.simsRunning)>=maxNumSimultaneousSims):
									print "Sims currently running: "+str(self.simsRunning)
									print "Waiting..."
									time.sleep(3) # wait a while...
									self.updateSimsRunning()


							simRef = "PySim_"+str(float(stimAmp))

							print "Going to run simulation: "+simRef

							########  Adjusting the amplitude of the Voltage clamp ###############

                                                        TEXT_BEFORE_CREATION = "objref clampobj" + "\n" + "objref record_current" + "\n" + "objref data_save" + "\n"

                                                        # TEXT_BEFORE_INIT = "GranuleCell_mod_tonic[0].Soma {\n" + "clampobj = new SEClamp(0.5)\n" + "clampobj.dur1 = 150.0" + "\n" + "clampobj.amp1 = -100.0" + "\n" + "clampobj.dur2 = " + str(stimDur) + "\n" + "clampobj.amp2 = " + str(stimAmp) + "\n" + "clampobj.dur3 = 150.0" + "\n" + "clampobj.amp3 = -100.0" + "\n" + "clampobj.rs = 0.00001\n " + "}\n" # This should do the trick

                                                        # TEXT_BEFORE_INIT = TEXT_BEFORE_INIT + ADD_TO_BEFORE_INIT

                                                        TEXT_START_FINITIALIZE = "GranuleCell_mod_tonic[0].Soma {\n" + "clampobj = new SEClamp(0.5)\n" + "clampobj.dur1 = 150.0" + "\n" + "clampobj.amp1 = -100.0" + "\n" + "clampobj.dur2 = " + str(stimDur) + "\n" + "clampobj.amp2 = " + str(stimAmp) + "\n" + "clampobj.dur3 = 150.0" + "\n" + "clampobj.amp3 = -40.0" + "\n" + "clampobj.rs = 0.00001\n" + "record_current = new Vector()" + "\n" + "record_current.record(&clampobj.i)" + "\n" + "}\n" #This should do the trick

                                                        TEXT_START_FINITIALIZE = TEXT_START_FINITIALIZE + ADD_TO_START_FINITIALIZE

                                                        TEXT_TO_RECORD_I = """data_save = new File() \n""" + """strdef filename \n""" + """sprint(filename, """" + self.myProject.getProjectMainDirectory().getAbsolutePath() + """/simulations/current%.3f.txt", clampobj.amp2) \n""" + """data_save.wopen(filename) \n""" + """record_current.printf(data_save) \n""" + """data_save.close() \n"""

                                                        TEXT_TO_RECORD_I = TEXT_TO_RECORD_I + ADD_TO_RECORD_I

                                                        self.myProject.neuronSettings.setNativeBlock(NativeCodeLocation.BEFORE_CELL_CREATION, TEXT_BEFORE_CREATION)
                                                        # self.myProject.neuronSettings.setNativeBlock(NativeCodeLocation.BEFORE_INITIAL, TEXT_BEFORE_INIT)
                                                        self.myProject.neuronSettings.setNativeBlock(NativeCodeLocation.START_FINITIALIZE, TEXT_START_FINITIALIZE)
                                                        self.myProject.neuronSettings.setNativeBlock(NativeCodeLocation.AFTER_SIMULATION, TEXT_TO_RECORD_I)

					
							print "Next stim: "+ str(stimAmp)

							self.myProject.simulationParameters.setReference(simRef)

							if simulator == "NEURON":
									self.myProject.neuronFileManager.generateTheNeuronFiles(simConfig,
																							None,
																							NeuronFileManager.RUN_HOC,
																							self.simulatorSeed)

									print "Generated NEURON files for: "+simRef

									compileProcess = ProcessManager(self.myProject.neuronFileManager.getMainHocFile())

									compileSuccess = compileProcess.compileFileWithNeuron(0,0)

									print "Compiled NEURON files for: "+simRef

									if compileSuccess:
													pm.doRunNeuron(simConfig)
													print "Set running simulation: "+simRef
													self.simsRunning.append(simRef)

							if simulator == "GENESIS":
									compartmentalisation = GenesisCompartmentalisation()

									self.myProject.genesisFileManager.generateTheGenesisFiles(simConfig,
																							None,
																							compartmentalisation,
																							self.simulatorSeed)
									print "Generated GENESIS files for: "+simRef

									pm.doRunGenesis(simConfig)
									print "Set running simulation: "+simRef
									self.simsRunning.append(simRef)

							time.sleep(1) # Wait for sim to be kicked off
							simReferences[simRef] = stimAmp
							stimAmp = stimAmp +stimAmpInc

					print
					print "Finished running "+str(len(simReferences))+" simulations for project "+ projFile.getAbsolutePath()
					print "These can be loaded and replayed in the previous simulation browser in the GUI"
					print

			while (len(self.simsRunning)>0):
					print "Sims currently running: "+str(self.simsRunning)
					print "Waiting..."
					time.sleep(4) # wait a while...
					self.updateSimsRunning()

			#simReferences = {'PySim_0.3':0.3,'PySim_0.4':0.4,'PySim_0.5':0.5}

			plotFrameVI = PlotManager.getPlotterFrame("V-I curve from project: "+str(self.myProject.getProjectFile())+" on "+simulator , 1, 1)


			plotFrameVI.setViewMode(PlotCanvas.INCLUDE_ORIGIN_VIEW)

			info = "V-I curve for Simulation Configuration: "+str(simConfig)

			dataSet = DataSet(info, info, "mV", "nA", "Voltage", "Current")
			dataSet.setGraphFormat(PlotCanvas.USE_CIRCLES_FOR_PLOT)

			simList = simReferences.keys()
			simList.sort()

			for sim in simList:

					simDir = File(projFile.getParentFile(), "/neuroConstruct/models/Dan_GranCell/simulations/"+sim)
					print
					print "--- Reloading data from simulation in directory: %s"%simDir.getCanonicalPath()
					try:
							simData = SimulationData(simDir)
							simData.initialise()
							print "Data loaded: "
							print simData.getAllLoadedDataStores()
							times = simData.getAllTimes()
							cellSegmentRef = simConfig.getCellGroups().get(0)+"_0"

							cfilename = "E:/neuroConstruct/models/Dan_GranCell/simulations/" + sim + "/current.txt"
							trace = "E:/neuroConstruct/models/Dan_GranCell/simulations/" + sim + ".txt"
							# cFILE = open(cfilename, "r")
							
							
							strom = 0.0
							
							volts = simData.getVoltageAtAllTimes(cellSegmentRef)
							

							traceInfo = "Voltage at: %s in simulation: %s"%(cellSegmentRef, sim)

							stimAmp = simReferences[sim]
							print "Current at %f mV in sim %s: %f"%(stimAmp, sim, float(strom))
							
							dataSet.addPoint(stimAmp,float(strom))
					except:
							print "Error analysing simulation data from: %s"%simDir.getCanonicalPath()
							print sys.exc_info()[0]


			plotFrameVI.addDataSet(dataSet)
                cell.associateGroupWithChanMech("all", chanMech)
                        
        print "Channels present: "+str(cell.getChanMechsVsGroups())
        
        ############################################################################
        
        '''
        
        myProject.simulationParameters.setReference(simRef)
    
        myProject.neuronFileManager.generateTheNeuronFiles(simConfig, None, NeuronFileManager.RUN_HOC, simulatorSeed)

        print "Generated NEURON files for: "+simRef
    
        compileProcess = ProcessManager(myProject.neuronFileManager.getMainHocFile())
    
        compileSuccess = compileProcess.compileFileWithNeuron(0,modCompileConfirmation)

        print "Compiled NEURON files for: "+simRef
    
        if compileSuccess:
            pm.doRunNeuron(simConfig)
            print "Set running simulation: "+simRef
            simsRunning.append(simRef)
            
        time.sleep(1) # Wait for sim to be kicked off
    
    print
    print "Finished running "+str(numSimulationsToRun)+" simulations for project "+ projFile.getAbsolutePath()
    print "These can be loaded and replayed in the previous simulation browser in the GUI"
				cell.associateGroupWithChanMech("all", chanMech)
				        
        print "Channels present: "+str(cell.getChanMechsVsGroups())
        
        ############################################################################
        
        '''

        myProject.simulationParameters.setReference(simRef)

        myProject.neuronFileManager.generateTheNeuronFiles(
            simConfig, None, NeuronFileManager.RUN_HOC, simulatorSeed)

        print "Generated NEURON files for: " + simRef

        compileProcess = ProcessManager(
            myProject.neuronFileManager.getMainHocFile())

        compileSuccess = compileProcess.compileFileWithNeuron(
            0, modCompileConfirmation)

        print "Compiled NEURON files for: " + simRef

        if compileSuccess:
            pm.doRunNeuron(simConfig)
            print "Set running simulation: " + simRef
            simsRunning.append(simRef)

        time.sleep(1)  # Wait for sim to be kicked off

    print
    print "Finished running " + str(