def timeReference(self):
## pipeInData =[]
self.sinewave= gen_sin(F = 10.0, AMP = 0.3, BIAS = 1.0, T = 2.0) # python only
pipeInData = gen_sin(F = 10.0, AMP = 0.3, BIAS = 1.0, T = 2.0) # pipe in to fpga
xem_spindle_bic.SendPipe2(pipeInData)
xem_spindle_tri.SendPipe2(pipeInData)
def on_checkBox_clicked(self, checked):
"""
Slot documentation goes here.
"""
if (checked):
print "waveform sine_bic fed"
# pipeInData = spike_train(firing_rate = 10)
#pipeInData = gen_sin(F = 0.5, AMP = 5000.0, BIAS = 5001.0, T = 2.0)
# pipeInData = gen_tri(T = 2.0)
pipeInData_bic = gen_sin(F = 1.0, AMP = 15000.0, BIAS = 0.0, T = 2.0)
pipeInDataBic=[]
for i in xrange(0, 2048):
pipeInDataBic.append(max(0.0, pipeInData_bic[i]))
# elif choice == "middleBoard_sine_Tri":
print "waveform sine_tri fed"
pipeIndata_tri = -gen_sin(F = 1.0, AMP = 15000.0, BIAS = 0.0, T = 2.0)
pipeInDataTri=[]
for i in xrange(0, 2048):
pipeInDataTri.append(max(0.0, pipeIndata_tri[i]))
self.xemList[0].SendPipe(pipeInDataBic)
self.xemList[1].SendPipe(pipeInDataTri)
def on_checkBox_clicked(self, checked):
"""
Slot documentation goes here.
"""
if (checked):
print "waveform sine_bic fed"
# pipeInData = spike_train(firing_rate = 10)
#pipeInData = gen_sin(F = 0.5, AMP = 5000.0, BIAS = 5001.0, T = 2.0)
# pipeInData = gen_tri(T = 2.0)
pipeInData_bic = gen_sin(F = 0.5, AMP = 50000.0, BIAS = 0.0, T = 2.0) # was 150000 for CN_general
# pipeInData_bic = gen_ramp(T = [0.0, 0.01, 0.02, 0.22, 0.23, 2.0], L = [0.0, 0.0, 120000.0, 120000.0, 0.0, 0.0], FILT = False)
pipeInDataBic=[]
for i in xrange(0, 2048):
pipeInDataBic.append(max(0.0, pipeInData_bic[i]))
# elif choice == "middleBoard_sine_Tri":
print "waveform sine_tri fed"
pipeIndata_tri = -gen_sin(F = 0.5, AMP = 50000.0, BIAS = 0.0, T = 2.0)
# pipeIndata_tri = gen_ramp(T = [0.0, 0.21, 0.22, 0.42, 0.43, 2.0], L = [0.0, 0.0, 120000.0, 120000.0, 0.0, 0.0], FILT = False)
pipeInDataTri=[]
for i in xrange(0, 2048):
pipeInDataTri.append(max(0.0, pipeIndata_tri[i]))
self.xemList[0].SendPipe(pipeInDataTri)
self.xemList[1].SendPipe(pipeInDataBic)
def OnFeedChoice(self, evt):
choice = evt.GetString()
if choice == "Sine 1Hz":
pipeInData = gen_sin(F=1.0, AMP=0.3)
elif choice == "Sine 4Hz":
pipeInData = gen_sin(F=2.0, AMP=0.3)
elif choice == "Triangular":
pipeInData = gen_tri()
self.nerfModel.SendPipe(pipeInData)
def OnFeedChoice(self, evt):
choice = evt.GetString()
if choice == "Sine 1Hz":
pipeInData = gen_sin(F = 1.0, AMP = 0.3)
elif choice == "Sine 4Hz":
pipeInData = gen_sin(F = 2.0, AMP = 0.3)
elif choice == "Triangular":
pipeInData = gen_tri()
self.nerfModel.SendPipe(pipeInData)
def __init__(self, parent = None):
"""
Constructor
"""
# QDialog.__init__(self, parent, Qt.FramelessWindowHint)
QDialog.__init__(self, parent)
self.setupUi(self)
self.nerfModel = Model()
pipeInData = gen_sin(F = 1.0, AMP = 100.0, T = 2.0)
self.nerfModel.SendPipe(pipeInData)
self.dispView = View(None, VIEWER_REFRESH_RATE, CHIN_PARAM)
self.dispView.show()
self.data = []
self.isLogData = False
# Create float_spin for each input channel
self.ctrl_all = []
for (trig_id, name, type, value) in CHOUT_PARAM:
exec interp('self.ctrl_#{name} = CtrlChannel(hostDialog=self, name=name, id=trig_id, type=type, value=value)')
exec interp('self.connect(self.ctrl_#{name}.doubleSpinBox, SIGNAL("editingFinished()"), self.onNewWireIn)')
exec interp('self.connect(self.ctrl_#{name}.doubleSpinBox, SIGNAL("valueChanged(double)"), self.onNewWireIn)')
exec interp('self.ctrl_all.append(self.ctrl_#{name})')
# Timer for pulling data, separated from timer_display
self.timer = QTimer(self)
self.connect(self.timer, SIGNAL("timeout()"), self.onSyncData)
self.timer.start(VIEWER_REFRESH_RATE )
self.on_horizontalSlider_valueChanged(5)
def on_comboBox_activated(self, p0):
"""
Slot documentation goes here.
"""
choice = p0
if choice == "Spike Train 1Hz":
# pipeInData = spike_train(firing_rate = 1)
pipeInData = gen_sin(F=1.0, AMP=0.3)
elif choice == "Spike Train 10Hz":
# pipeInData = spike_train(firing_rate = 10)
pipeInData = gen_sin(F=4.0, AMP=0.3)
elif choice == "Spike Train 20Hz":
pipeInData = gen_tri()
# pipeInData = spike_train(firing_rate = 100)
self.nerfModel.SendPipe(pipeInData)
def on_comboBox_activated(self, p0):
"""
Slot documentation goes here.
"""
choice = p0
if choice == "Spike Train 1Hz":
# pipeInData = spike_train(firing_rate = 1)
pipeInData = gen_sin(F = 1.0, AMP = 0.3)
elif choice == "Spike Train 10Hz":
# pipeInData = spike_train(firing_rate = 10)
pipeInData = gen_sin(F = 4.0, AMP = 0.3)
elif choice == "Spike Train 20Hz":
pipeInData = gen_tri()
# pipeInData = spike_train(firing_rate = 100)
self.nerfModel.SendPipe(pipeInData)
def on_comboBox_activated(self, p0):
"""
Slot documentation goes here.
"""
choice = p0
if choice == "Spike Train 1Hz":
# pipeInData = spike_train(firing_rate = 1)
pipeInData = gen_sin(F = 1.0, AMP = 0.3)
elif choice == "Spike Train 10Hz":
# pipeInData = spike_train(firing_rate = 10)
pipeInData = gen_sin(F = 4.0, AMP = 0.3)
elif choice == "Spike Train 20Hz":
# pipeInData = gen_tri()
pipeInData = gen_seq(T = [0.0, 0.06, 0.07, 0.24, 0.26, 0.43, 0.44, 0.5, 0.5, 0.56, 0.57, 0.74, 0.76, 0.93, 0.94, 1.0],\
L = [0.0, 0.0, 1.0, 1.0, -1.0, -1.0, 0.0, 0.0, 0.0, 0.0, -1.0, -1.0, 1.0, 1.0, 0.0, 0.0], FILT = True)
# pipeInData = spike_train(firing_rate = 100)
self.nerfModel.SendPipe(pipeInData)
def on_comboBox_activated(self, p0):
"""
Slot documentation goes here.
"""
choice = p0
if choice == "Spike Train 1Hz":
# pipeInData = spike_train(firing_rate = 1)
pipeInData = gen_sin(F=1.0, AMP=0.3, BIAS=1.0, T=2.0)
# pipeInData = chirping_spike_train(coeff_a = 20)
elif choice == "Spike Train 10Hz":
# pipeInData = spike_train(firing_rate = 100)
pipeInData = gen_sin(F=4.0, AMP=0.3, BIAS=1.0, T=2.0)
# pipeInData = chirping_spike_train(coeff_a = 40)
elif choice == "Spike Train 20Hz":
# pipeInData = gen_tri()
# pipeInData = spike_train(firing_rate = 500)
pipeInData = chirping_spike_train(coeff_a=60)
#self.nerfModel.SendPipeInt(pipeInData) # for spike_train(), SendPipeInt, SendPipe same result.
self.nerfModel.SendPipe(pipeInData)
def on_comboBox_activated(self, p0):
"""
Slot documentation goes here.
"""
choice = p0
if choice == "Spike Train 1Hz":
# pipeInData = spike_train(firing_rate = 1)
pipeInData = gen_sin(F = 1.0, AMP = 0.3, BIAS = 1.0)
# pipeInData = chirping_spike_train(coeff_a = 20)
elif choice == "Spike Train 10Hz":
# pipeInData = spike_train(firing_rate = 100)
pipeInData = gen_sin(F = 4.0, AMP = 0.3, BIAS = 1.57)
# pipeInData = chirping_spike_train(coeff_a = 40)
elif choice == "Spike Train 20Hz":
# pipeInData = gen_tri()
# pipeInData = spike_train(firing_rate = 500)
pipeInData = chirping_spike_train(coeff_a =60)
#self.nerfModel.SendPipeInt(pipeInData) # for spike_train(), SendPipeInt, SendPipe same result.
self.nerfModel.SendPipe(pipeInData)
def __init__(self, parent = None):
"""
Constructor
"""
# QDialog.__init__(self, parent, Qt.FramelessWindowHint)
QDialog.__init__(self, parent)
self.setupUi(self)
rawxem = ok.FrontPanel()
#count = 2
count = rawxem.GetDeviceCount()
print count
self.xemList = []
BIT_FILE_LIST = [BIT_FILE, BIT_FILE2]
#BIT_FILE_LIST = [BIT_FILE]
for i in xrange(count):
serX = rawxem.GetDeviceListSerial(i)
print "serial = ", serX
self.nerfModel = FpgaDevice(serX, BIT_FILE_LIST[i])
self.xemList.append(self.nerfModel)
# SEND SINEWAVE ALWAYS
pipeInData = gen_sin(F = 1.0, AMP = 100.0, T = 2.0)
self.xemList[1].SendPipe(pipeInData)
self.dispView = View(None, VIEWER_REFRESH_RATE, CHIN_PARAM)
self.dispView.show()
self.data = []
self.isLogData = False
# Create float_spin for each input channel
self.ctrl_all = []
for (trig_id, name, type, value) in CHOUT_PARAM:
exec interp('self.ctrl_#{name} = CtrlChannel(hostDialog=self, name=name, id=trig_id, type=type, value=value)')
exec interp('self.connect(self.ctrl_#{name}.doubleSpinBox, SIGNAL("editingFinished()"), self.onNewWireIn)')
exec interp('self.connect(self.ctrl_#{name}.doubleSpinBox, SIGNAL("valueChanged(double)"), self.onNewWireIn)')
exec interp('self.ctrl_all.append(self.ctrl_#{name})')
# Timer for pulling data, separated from timer_display
self.timer = QTimer(self)
self.connect(self.timer, SIGNAL("timeout()"), self.onSyncData)
self.timer.start(VIEWER_REFRESH_RATE )
self.on_horizontalSlider_valueChanged(5)
def on_comboBox_activated(self, p0):
"""
Slot documentation goes here.
"""
choice = p0
if choice == "waveform 1":
# pipeInData = gen_ramp(T = [0.0, 0.1, 0.3, 1.0, 1.2, 2.0], L = [0.0, 0.0, 120000.0, 120000.0, 0.0, 0.0], FILT = False)
# pipeInData = gen_ramp(T = [0.0, 0.1, 0.3, 1.0, 1.2, 2.0], L = [0.0, 0.0, 1.4, 1.4, 0.0, 0.0], FILT = False)
pipeInData = gen_ramp(T = [0.0, 0.1, 0.2, 0.25, 0.3, 1.1, 1.2, 1.25, 1.3, 2.0], L = [0.8, 0.8, 1.4, 1.4, 0.8, 0.8, 1.4, 1.4, 0.8, 0.8], FILT = False)
print "waveform 1 fed"
# pipeInData = gen_sin(F = 1.0, AMP = 100.0, T = 2.0)
elif choice == "waveform 2":
print "waveform fed"
# pipeInData = spike_train(firing_rate = 10)
# pipeInData = gen_sin(F = 0.5, AMP = 5000.0, BIAS = 5001.0, T = 2.0)
# pipeInData = gen_tri(T = 2.0)
#pipeInData = gen_ramp(T = [0.0, 0.1, 0.9, 1.4, 1.9, 2.0], L = [0.5, 0.5, 1.5, 1.5, 0.5, 0.5], FILT = False)
#pipeInData = gen_ramp(T = [0.0, 1.8, 2.0], L = [0.0, 30000.0, 0.0], FILT = False)
#pipeInData = abs(gen_sin(F = 0.5, AMP = 17000.0, BIAS = 0.0, T = 2.0)) #big sine wave for training stdp
#pipeInData[:] = [1 - x for x in pipeInData] #( 1 - pipeIndata)
pipeInData = gen_rand(T=16.0, BIAS = 1500.0, AMP = 4400.0) # 16 seconds
pipeInData2 = gen_rand(T=16.0, BIAS = 1500.0, AMP = 4400.0) # 16 seconds
#pipeInData = gen_rand(BIAS = 3500.0, AMP = 400.0) # also works. input current bordered around threshold
#pipeInData2 = gen_rand(BIAS = 3500.0, AMP = 400.0)
elif choice == "waveform 3":
# pipeInData = gen_tri()
# pipeInData = spike_train(firing_rate = 1)
print "waveform 3 fed"
# pipeInData = gen_sin(F = 0.5, AMP = 0.15, BIAS = 1.15, T = 2.0)
pipeInData = abs(gen_sin(F = 0.5, AMP = 17000.0, BIAS = 0.0, T = 2.0)) #big sine wave for training stdp
#pipeInData = gen_ramp(T = [0.0, 0.1, 0.2, 0.8, 0.9, 2.0], L = [1.0, 1.0, 1.3, 1.3, 1.0, 1.0], FILT = False)
# pipeInData = gen_ramp(T = [0.0, 0.4, 1.5, 1.55, 1.6, 2.0], L = [0, 0, 15000, 15000, 0, 0], FILT = False)
# pipeInData = gen_ramp(T = [0.0, 0.2, 0.25, 1.75, 1.8, 2.0], L = [1.0, 1.0, 5000.0, 5000.0, 1.0, 1.0], FILT = False) # abrupt rise / fall
# pipeInData = spike_train(firing_rate = 1000)
self.nerfModel.SendPipe(pipeInData)
self.nerfModel.SendPipe2(pipeInData2)
def on_comboBox_activated(self, p0):
"""
Slot documentation goes here.
"""
choice = p0
if choice == "Spike Train 1Hz":
# pipeInData = spike_train(firing_rate = 1)
pipeInData = gen_sin(F = 1.0, AMP = 100.0, T = 2.0)
elif choice == "Spike Train 10Hz":
# pipeInData = spike_train(firing_rate = 10)
# pipeInData = gen_sin(F = 4.0, AMP = 0.3)
pipeInData = gen_tri(T = 2.0)
elif choice == "Spike Train 20Hz":
# pipeInData = gen_tri()
# pipeInData = gen_ramp(T = [0.0, 0.1, 0.2, 0.8, 0.9, 2.0], L = [1.0, 1.0, 1.1, 1.1, 1.0, 1.0], FILT = False)
pipeInData = gen_ramp(T = [0.0, 0.1, 1.8, 1.85, 1.9, 2.0], L = [0, 0, 15000, 15000, 0, 0], FILT = False)
# pipeInData = spike_train(firing_rate = 100)
self.nerfModel.SendPipe(pipeInData)
def on_comboBox_activated(self, p0):
"""
Slot documentation goes here.
"""
choice = p0
if choice == "Spike Train 1Hz":
# pipeInData = spike_train(firing_rate = 1)
pipeInData = gen_sin(F = 1.0, AMP = 100.0, T = 2.0)
elif choice == "Spike Train 10Hz":
# pipeInData = spike_train(firing_rate = 10)
# pipeInData = gen_sin(F = 4.0, AMP = 0.3)
pipeInData = gen_tri(T = 2.0)
elif choice == "Spike Train 20Hz":
# pipeInData = gen_tri()
pipeInData = gen_ramp(T = [0.0, 0.1, 0.2, 0.8, 0.9, 2.0], L = [1.0, 1.0, 1.3, 1.3, 1.0, 1.0], FILT = False)
# pipeInData = gen_ramp(T = [0.0, 0.4, 1.5, 1.55, 1.6, 2.0], L = [0, 0, 15000, 15000, 0, 0], FILT = False)
# pipeInData = gen_ramp(T = [0.0, 0.2, 0.25, 1.75, 1.8, 2.0], L = [1.0, 1.0, 5000.0, 5000.0, 1.0, 1.0], FILT = False) # abrupt rise / fall
# pipeInData = spike_train(firing_rate = 1000)
self.xemList[0].SendPipe(pipeInData)
def on_comboBox_activated(self, p0):
"""
Slot documentation goes here.
"""
choice = p0
if choice == "Spike Train 1Hz":
# pipeInData = spike_train(firing_rate = 1)
pipeInData = gen_sin(F=1.0, AMP=0.6, T=2.0)
elif choice == "Spike Train 10Hz":
# pipeInData = spike_train(firing_rate = 10)
# pipeInData = gen_sin(F = 4.0, AMP = 0.3)
pipeInData = gen_tri(T=2.0)
elif choice == "Spike Train 20Hz":
# pipeInData = gen_tri()
pipeInData = gen_ramp(T=[0.0, 0.1, 0.2, 0.8, 0.9, 2.0],
L=[1.0, 1.0, 1.1, 1.1, 1.0, 1.0],
FILT=False)
# pipeInData = spike_train(firing_rate = 100)
self.nerfModel.SendPipe(pipeInData)
