def __init__(self, *args):
QtGui.QMainWindow.__init__(self, *args)
self.demo = IzhikevichDemo()
self.signalMapper = QtCore.QSignalMapper(self)
self.demoFrame = QtGui.QFrame(self)
self.controlPanel = QtGui.QFrame(self.demoFrame)
self.figureNo = {}
self.buttons = {}
for key, value in list(IzhikevichDemo.parameters.items()):
button = QtGui.QPushButton(key, self.controlPanel)
self.figureNo[value[0]] = key
self.buttons[key] = button
keys = list(self.figureNo.keys())
keys.sort()
length = len(keys)
rows = int(numpy.rint(numpy.sqrt(length)))
cols = int(numpy.ceil(length * 1.0 / rows))
layout = QtGui.QGridLayout()
for ii in range(rows):
for jj in range(cols):
index = ii * cols + jj
if index < length:
key = self.figureNo[keys[index]]
button = self.buttons[key]
button.setToolTip(self.tr(IzhikevichDemo.documentation[key]))
layout.addWidget(button, ii, jj)
self.connect(button, QtCore.SIGNAL('clicked()'), self.signalMapper, QtCore.SLOT('map()'))
self.signalMapper.setMapping(button, key)
self.connect(self.signalMapper, QtCore.SIGNAL('mapped(const QString &)'), self._simulateAndPlot)
self.controlPanel.setLayout(layout)
self.plotPanel = QtGui.QFrame(self.demoFrame)
self.VmPlot = Qwt.QwtPlot(self.plotPanel)
self.VmPlot.setAxisTitle(Qwt.QwtPlot.xBottom, 'time (ms)')
self.VmPlot.setAxisTitle(Qwt.QwtPlot.yLeft, 'Vm (mV)')
self.VmPlot.replot()
self.ImPlot = Qwt.QwtPlot(self.plotPanel)
self.ImPlot.setAxisTitle(Qwt.QwtPlot.xBottom, 'time (ms)')
self.ImPlot.setAxisTitle(Qwt.QwtPlot.yLeft, 'Im (nA)')
self.vmPlotZoomer = self._make_zoomer(self.VmPlot)
self.imPlotZoomer = self._make_zoomer(self.ImPlot)
self.descriptionWidget = QtGui.QLabel('Click any of the buttons to simulate and plot the corresponding neuron.')
self.descriptionWidget.setFrameStyle(QtGui.QFrame.Panel | QtGui.QFrame.Sunken)
sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Expanding, QtGui.QSizePolicy.Expanding)
self.descriptionWidget.setSizePolicy(sizePolicy)
self.VmPlot.setSizePolicy(sizePolicy)
self.ImPlot.setSizePolicy(sizePolicy)
layout = QtGui.QVBoxLayout()
layout.addWidget(self.VmPlot)
layout.addWidget(self.ImPlot)
layout.addWidget(self.descriptionWidget)
self.plotPanel.setLayout(layout)
layout = QtGui.QVBoxLayout()
layout.addWidget(self.plotPanel)
layout.addWidget(self.controlPanel)
self.demoFrame.setLayout(layout)
self.setCentralWidget(self.demoFrame)
class IzhikevichGUI:
def __init__(self):
self.demo = IzhikevichDemo()
self.figureNums = {} # maps figure no. to label
self.root = Tk()
self.root.title('MOOSE - Izhikevich Demo')
self.root.rowconfigure(0, weight=1)
self.root.columnconfigure(1, weight=1)
self.controlPanel = Frame(self.root)
self.buttons = {}
for key in self.demo.parameters:
button = Button(self.controlPanel, text=key)
button.bind('<Button-1>', self._run_model)
self.buttons[key] = button
self.figureNums[IzhikevichDemo.parameters[key][0]] = key
keys = self.figureNums.keys()
keys.sort()
ii = 0
for key in keys:
label = self.figureNums[key]
button = self.buttons[label]
button.grid(row=ii, column=0, sticky=W)
button.pack(fill=BOTH, expand=1)
ii = ii + 1
self.controlPanel.grid(row=0, column=0, sticky=W)
self.controlPanel.pack(side=LEFT)
self.plotPanel = Frame(self.root, relief=RIDGE)
self.plot = Tkplot(self.plotPanel)
self.plot.config(scrollregion=self.plot.bbox(ALL))
self.plot.set_axes(-10, -10, 100, 100, 10, 10)
self.plot.axes.xmin = -10
self.plot.axes.ymin = -150
self.plot.grid(row=0, column=1, sticky=S)
self.plot.pack(fill=BOTH, expand=1)
self.plotPanel.grid(row=0, rowspan=len(IzhikevichDemo.parameters), column=1, sticky=N+S+E+W)
self.plotPanel.pack(fill=BOTH, side=RIGHT, expand=1)
self.root.update()
self.plot._do_update(None) # To force drawing the plot in the first place
self.plot.bind('<Configure>', self.plot._do_update) # Connect the resize event to update of the plot
def _run_model(self, event):
key = event.widget['text']
try:
(time, Vm, Im) = self.demo.simulate(key)
except NotImplementedError as (err, msg):
tkMessageBox.showinfo('%s' % (err), '%s' % (msg))
return
length = len(time)
self.plot.clear()
self.plot.set_axes(-10, -150, time[length-1], 50, 10, 10)
self.plot.plot(time, numpy.array(Vm) * 1e3)
self.plot.plot(time, numpy.array(Im) * 1e9 - 100, color='red')
self.plot.show()
def __init__(self):
self.demo = IzhikevichDemo()
self.figureNums = {} # maps figure no. to label
self.root = Tk()
self.root.title('MOOSE - Izhikevich Demo')
self.root.rowconfigure(0, weight=1)
self.root.columnconfigure(1, weight=1)
self.controlPanel = Frame(self.root)
self.buttons = {}
for key in self.demo.parameters:
button = Button(self.controlPanel, text=key)
button.bind('<Button-1>', self._run_model)
self.buttons[key] = button
self.figureNums[IzhikevichDemo.parameters[key][0]] = key
keys = self.figureNums.keys()
keys.sort()
ii = 0
for key in keys:
label = self.figureNums[key]
button = self.buttons[label]
button.grid(row=ii, column=0, sticky=W)
button.pack(fill=BOTH, expand=1)
ii = ii + 1
self.controlPanel.grid(row=0, column=0, sticky=W)
self.controlPanel.pack(side=LEFT)
self.plotPanel = Frame(self.root, relief=RIDGE)
self.plot = Tkplot(self.plotPanel)
self.plot.config(scrollregion=self.plot.bbox(ALL))
self.plot.set_axes(-10, -10, 100, 100, 10, 10)
self.plot.axes.xmin = -10
self.plot.axes.ymin = -150
self.plot.grid(row=0, column=1, sticky=S)
self.plot.pack(fill=BOTH, expand=1)
self.plotPanel.grid(row=0, rowspan=len(IzhikevichDemo.parameters), column=1, sticky=N+S+E+W)
self.plotPanel.pack(fill=BOTH, side=RIGHT, expand=1)
self.root.update()
self.plot._do_update(None) # To force drawing the plot in the first place
self.plot.bind('<Configure>', self.plot._do_update) # Connect the resize event to update of the plot
class IzhikevichGui(QtGui.QMainWindow):
"""This is a Qt version of the GUI"""
def __init__(self, *args):
QtGui.QMainWindow.__init__(self, *args)
self.demo = IzhikevichDemo()
self.signalMapper = QtCore.QSignalMapper(self)
self.demoFrame = QtGui.QFrame(self)
self.controlPanel = QtGui.QFrame(self.demoFrame)
self.figureNo = {}
self.buttons = {}
for key, value in list(IzhikevichDemo.parameters.items()):
button = QtGui.QPushButton(key, self.controlPanel)
self.figureNo[value[0]] = key
self.buttons[key] = button
keys = list(self.figureNo.keys())
keys.sort()
length = len(keys)
rows = int(numpy.rint(numpy.sqrt(length)))
cols = int(numpy.ceil(length * 1.0 / rows))
layout = QtGui.QGridLayout()
for ii in range(rows):
for jj in range(cols):
index = ii * cols + jj
if index < length:
key = self.figureNo[keys[index]]
button = self.buttons[key]
button.setToolTip(
self.tr(IzhikevichDemo.documentation[key]))
layout.addWidget(button, ii, jj)
self.connect(button, QtCore.SIGNAL('clicked()'),
self.signalMapper, QtCore.SLOT('map()'))
self.signalMapper.setMapping(button, key)
self.connect(self.signalMapper,
QtCore.SIGNAL('mapped(const QString &)'),
self._simulateAndPlot)
self.controlPanel.setLayout(layout)
self.plotPanel = QtGui.QFrame(self.demoFrame)
self.VmPlot = Qwt.QwtPlot(self.plotPanel)
self.VmPlot.setAxisTitle(Qwt.QwtPlot.xBottom, 'time (ms)')
self.VmPlot.setAxisTitle(Qwt.QwtPlot.yLeft, 'Vm (mV)')
self.VmPlot.replot()
self.ImPlot = Qwt.QwtPlot(self.plotPanel)
self.ImPlot.setAxisTitle(Qwt.QwtPlot.xBottom, 'time (ms)')
self.ImPlot.setAxisTitle(Qwt.QwtPlot.yLeft, 'Im (nA)')
self.vmPlotZoomer = self._make_zoomer(self.VmPlot)
self.imPlotZoomer = self._make_zoomer(self.ImPlot)
self.descriptionWidget = QtGui.QLabel(
'Click any of the buttons to simulate and plot the corresponding neuron.'
)
self.descriptionWidget.setFrameStyle(QtGui.QFrame.Panel
| QtGui.QFrame.Sunken)
sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Expanding,
QtGui.QSizePolicy.Expanding)
self.descriptionWidget.setSizePolicy(sizePolicy)
self.VmPlot.setSizePolicy(sizePolicy)
self.ImPlot.setSizePolicy(sizePolicy)
layout = QtGui.QVBoxLayout()
layout.addWidget(self.VmPlot)
layout.addWidget(self.ImPlot)
layout.addWidget(self.descriptionWidget)
self.plotPanel.setLayout(layout)
layout = QtGui.QVBoxLayout()
layout.addWidget(self.plotPanel)
layout.addWidget(self.controlPanel)
self.demoFrame.setLayout(layout)
self.setCentralWidget(self.demoFrame)
def _simulateAndPlot(self, key):
key = str(key)
equationText = self.demo.getEquation(key).replace('\n', '<br/>')
doc = IzhikevichDemo.documentation[key].replace('\n', '<br/>')
text = '<b>%s:</b> %s<p><b>Equation:</b><br/> %s' % (key, doc,
equationText)
self.descriptionWidget.setText(self.tr(text))
# if key == 'accommodation':
# mbox = QtGui.QMessageBox(self)
# mbox.setText(self.tr('Accommodation cannot be shown with regular Izhikevich model.'))
# mbox.setDetailedText(self.tr('\
# Equation for u for the accommodating neuron is: \
# u\' = a * b * (V + 65)\n Which is different from \
# the regular equation u\' = a * (b*V - u) and cannot \
# be obtained from the latter by any choice of a and b.'))
# mbox.show()
# return
(time, Vm, Im) = self.demo.simulate(key)
Vm = numpy.array(Vm.vector) * 1e3
Im = numpy.array(Im.vector) * 1e9
self.VmPlot.clear()
self.ImPlot.clear()
curve = Qwt.QwtPlotCurve(self.tr(key + '_Vm'))
curve.setPen(QtCore.Qt.red)
curve.setData(time, numpy.array(Vm))
curve.attach(self.VmPlot)
curve = Qwt.QwtPlotCurve(self.tr(key + '_Im'))
curve.setPen(QtCore.Qt.blue)
curve.setData(time, Im)
curve.attach(self.ImPlot)
self.imPlotZoomer.setZoomBase()
self.vmPlotZoomer.setZoomBase()
self.ImPlot.replot()
self.VmPlot.replot()
def _make_zoomer(self, plot):
zoomer = Qwt.QwtPlotZoomer(Qwt.QwtPlot.xBottom, Qwt.QwtPlot.yLeft,
Qwt.QwtPicker.DragSelection,
Qwt.QwtPicker.AlwaysOn, plot.canvas())
zoomer.setRubberBandPen(QtGui.QPen(QtCore.Qt.white))
zoomer.setTrackerPen(QtGui.QPen(QtCore.Qt.cyan))
return zoomer
class IzhikevichGui(QtGui.QMainWindow):
"""This is a Qt version of the GUI"""
def __init__(self, *args):
QtGui.QMainWindow.__init__(self, *args)
self.demo = IzhikevichDemo()
self.signalMapper = QtCore.QSignalMapper(self)
self.demoFrame = QtGui.QFrame(self)
self.controlPanel = QtGui.QFrame(self.demoFrame)
self.figureNo = {}
self.buttons = {}
for key, value in list(IzhikevichDemo.parameters.items()):
button = QtGui.QPushButton(key, self.controlPanel)
self.figureNo[value[0]] = key
self.buttons[key] = button
keys = list(self.figureNo.keys())
keys.sort()
length = len(keys)
rows = int(numpy.rint(numpy.sqrt(length)))
cols = int(numpy.ceil(length * 1.0 / rows))
layout = QtGui.QGridLayout()
for ii in range(rows):
for jj in range(cols):
index = ii * cols + jj
if index < length:
key = self.figureNo[keys[index]]
button = self.buttons[key]
button.setToolTip(self.tr(IzhikevichDemo.documentation[key]))
layout.addWidget(button, ii, jj)
self.connect(button, QtCore.SIGNAL('clicked()'), self.signalMapper, QtCore.SLOT('map()'))
self.signalMapper.setMapping(button, key)
self.connect(self.signalMapper, QtCore.SIGNAL('mapped(const QString &)'), self._simulateAndPlot)
self.controlPanel.setLayout(layout)
self.plotPanel = QtGui.QFrame(self.demoFrame)
self.VmPlot = Qwt.QwtPlot(self.plotPanel)
self.VmPlot.setAxisTitle(Qwt.QwtPlot.xBottom, 'time (ms)')
self.VmPlot.setAxisTitle(Qwt.QwtPlot.yLeft, 'Vm (mV)')
self.VmPlot.replot()
self.ImPlot = Qwt.QwtPlot(self.plotPanel)
self.ImPlot.setAxisTitle(Qwt.QwtPlot.xBottom, 'time (ms)')
self.ImPlot.setAxisTitle(Qwt.QwtPlot.yLeft, 'Im (nA)')
self.vmPlotZoomer = self._make_zoomer(self.VmPlot)
self.imPlotZoomer = self._make_zoomer(self.ImPlot)
self.descriptionWidget = QtGui.QLabel('Click any of the buttons to simulate and plot the corresponding neuron.')
self.descriptionWidget.setFrameStyle(QtGui.QFrame.Panel | QtGui.QFrame.Sunken)
sizePolicy = QtGui.QSizePolicy(QtGui.QSizePolicy.Expanding, QtGui.QSizePolicy.Expanding)
self.descriptionWidget.setSizePolicy(sizePolicy)
self.VmPlot.setSizePolicy(sizePolicy)
self.ImPlot.setSizePolicy(sizePolicy)
layout = QtGui.QVBoxLayout()
layout.addWidget(self.VmPlot)
layout.addWidget(self.ImPlot)
layout.addWidget(self.descriptionWidget)
self.plotPanel.setLayout(layout)
layout = QtGui.QVBoxLayout()
layout.addWidget(self.plotPanel)
layout.addWidget(self.controlPanel)
self.demoFrame.setLayout(layout)
self.setCentralWidget(self.demoFrame)
def _simulateAndPlot(self, key):
key = str(key)
equationText = self.demo.getEquation(key).replace('\n', '<br/>')
doc = IzhikevichDemo.documentation[key].replace('\n', '<br/>')
text = '<b>%s:</b> %s<p><b>Equation:</b><br/> %s' % (key, doc, equationText)
self.descriptionWidget.setText(self.tr(text))
# if key == 'accommodation':
# mbox = QtGui.QMessageBox(self)
# mbox.setText(self.tr('Accommodation cannot be shown with regular Izhikevich model.'))
# mbox.setDetailedText(self.tr('\
# Equation for u for the accommodating neuron is: \
# u\' = a * b * (V + 65)\n Which is different from \
# the regular equation u\' = a * (b*V - u) and cannot \
# be obtained from the latter by any choice of a and b.'))
# mbox.show()
# return
(time, Vm, Im) = self.demo.simulate(key)
Vm = numpy.array(Vm.vector) * 1e3
Im = numpy.array(Im.vector) * 1e9
self.VmPlot.clear()
self.ImPlot.clear()
curve = Qwt.QwtPlotCurve(self.tr(key + '_Vm'))
curve.setPen(QtCore.Qt.red)
curve.setData(time, numpy.array(Vm))
curve.attach(self.VmPlot)
curve = Qwt.QwtPlotCurve(self.tr(key + '_Im'))
curve.setPen(QtCore.Qt.blue)
curve.setData(time, Im)
curve.attach(self.ImPlot)
self.imPlotZoomer.setZoomBase()
self.vmPlotZoomer.setZoomBase()
self.ImPlot.replot()
self.VmPlot.replot()
def _make_zoomer(self, plot):
zoomer = Qwt.QwtPlotZoomer(Qwt.QwtPlot.xBottom,
Qwt.QwtPlot.yLeft,
Qwt.QwtPicker.DragSelection,
Qwt.QwtPicker.AlwaysOn,
plot.canvas())
zoomer.setRubberBandPen(QtGui.QPen(QtCore.Qt.white))
zoomer.setTrackerPen(QtGui.QPen(QtCore.Qt.cyan))
return zoomer
