def Initialize(self, indim, outdim):
#=======================================================================
# Make a few variables easier to access, especially those accessed every packet.
#=======================================================================
self.max_thresh = self.params['MaxThresh'].val
self.min_thresh = self.params['MinThresh'].val
self.xpos = (-23.0, -8.0)
self.ypos = (3.0, 18.0)
self.fbpos = (8, -50, -56.5)
self.trigger = False
self.triggerSig = 0
#=======================================================================
# Screen
#=======================================================================
self.screen.color = (0,0,0) #let's have a black background
self.scrw,self.scrh = self.screen.size #Get the screen dimensions.
self.screen.app.camera.position = (0, 0, 0)
self.screen.app.camera.lookAt ((0, -35, -40))
self.screen.app.camera.nearClipDistance = 1
import ogre.renderer.OGRE as ogre
self.screen.app.camera.setFOVy(ogre.Degree(21.2))
#=======================================================================
# Register the cue text stimuli.
#=======================================================================
self.stimulus('cue', z=5, stim=VisualStimuli.Text(text='?', position=(400,400,0), anchor='center', color=(1,1,1), font_size=50, on=True))
self.stimuli['cue'].on = False
#=======================================================================
# Create the feedback
#=======================================================================
self.feedback = OgreRenderer.TailStimulus()
self.vx, self.vy = -8, 18
self.feedback.inverseKinematics(True, True, self.vx, self.vy, 0)
self.screen.app.camera.lookAt ((0, 0, -1))
self.fbpos = (10, -13, -45)
self.screen.app.camera.setFOVy(ogre.Degree(27.0))
self.feedback.node.setPosition(self.fbpos)
self.feedback.node.setVisible(True)
#=======================================================================
# State monitors for debugging.
#=======================================================================
if int(self.params['ShowSignalTime']):
# turn on state monitors if the packet clock is also turned on
addstatemonitor(self, 'Running', showtime=True)
addstatemonitor(self, 'CurrentBlock')
addstatemonitor(self, 'CurrentTrial')
addstatemonitor(self, 'TargetClass')
addphasemonitor(self, 'phase', showtime=True)
addstatemonitor(self, 'ShouldAnim')
addstatemonitor(self, 'IsAnim')
addstatemonitor(self, 'AnimPcnt')
m = addstatemonitor(self, 'fs_reg')
m.func = lambda x: '% 6.1fHz' % x._regfs.get('SamplesPerSecond', 0)
m.pargs = (self,)
m = addstatemonitor(self, 'fs_avg')
m.func = lambda x: '% 6.1fHz' % x.estimated.get('SamplesPerSecond',{}).get('global', 0)
m.pargs = (self,)
m = addstatemonitor(self, 'fs_run')
m.func = lambda x: '% 6.1fHz' % x.estimated.get('SamplesPerSecond',{}).get('running', 0)
m.pargs = (self,)
m = addstatemonitor(self, 'fr_run')
m.func = lambda x: '% 6.1fHz' % x.estimated.get('FramesPerSecond',{}).get('running', 0)
m.pargs = (self,)
def Initialize(self, indim, outdim):
# compute how big everything should be
itf = float(self.params['InnerTriangleSize'])
otf = float(self.params['OuterTriangleSize'])
scrw,scrh = self.screen.size
scrsiz = min(scrw,scrh)
circle_radius = scrsiz * 0.5 * float(self.params['CircleRadius'])
siz = (scrsiz * otf * 0.866, scrsiz * otf * 0.75)
# use a handy AppTools.Boxes.box object as the coordinate frame for the triangle
b = box(size=siz, position=(scrw/2.0,scrh/2.0 - siz[1]/6.0), sticky=True)
center = b.map((0.5,2.0/3.0), 'position')
self.positions = {'origin': numpy.matrix(center)}
# draw the main triangle
triangle = PolygonTexture(frame=b, vertices=((0,1),(1,1),(0.5,0)), color=(0,0,0,0.5))
# the red target triangle
b.anchor='bottom'
b.scale(itf)
self.positions['red'] = numpy.matrix(b.position)
red = PolygonTexture(frame=b, vertices=((0,1),(1,1),(0.5,0)), color=(1,0.1,0.1))
b.scale(1.0 / itf)
# the green target triangle
b.anchor='upperleft'
b.scale(itf)
self.positions['green'] = numpy.matrix(b.position)
green = PolygonTexture(frame=b, vertices=((0,1),(1,1),(0.5,0)), color=(0.1,1,0.1))
b.scale(1.0 / itf);
# the blue target triangle
b.anchor='upperright'
b.scale(itf)
self.positions['blue'] = numpy.matrix(b.position)
blue = PolygonTexture(frame=b, vertices=((0,1),(1,1),(0.5,0)), color=(0.1,0.1,1))
b.scale(1.0 / itf);
# and the arrow
b.anchor='center'
fac = (0.25,0.4)
b.scale(fac)
arrow = PolygonTexture(frame=b, vertices=((0.22,0.35),(0,0.35),(0.5,0),(1,0.35),(0.78,0.35),(0.78,0.75),(0.22,0.75),), color=(1,1,1), on=False, position=center)
b.scale((1.0/fac[0],1.0/fac[1]))
# store the significant points on the screen for later use
self.p = numpy.concatenate((self.positions['red'],self.positions['green'],self.positions['blue']), axis=0)
# let's have a black background
self.screen.color = (0,0,0)
# OK, now register all those stimuli, plus a few more, with the framework
self.stimulus('circle', z=-1, stim=Disc(position=center, radius=circle_radius, color=(0,0,0)))
self.stimulus('triangle', z=1, stim=triangle)
self.stimulus('red', z=2, stim=red)
self.stimulus('green', z=2, stim=green)
self.stimulus('blue', z=2, stim=blue)
self.stimulus('cursor1', z=3, stim=Disc(position=center, radius=10, color=(1,1,1), on=False))
self.stimulus('cursor2', z=4, stim=Disc(position=center, radius=8, color=(0,0,0), on=False))
self.stimulus('arrow', z=4.5, stim=arrow)
self.stimulus('cue', z=5, stim=VisualStimuli.Text(text='?', position=center, anchor='center', color=(1,1,1), font_size=50, on=False))
self.stimulus('fixation', z=4.2, stim=Disc(position=center, radius=5, color=(1,1,1), on=False))
# set up the strings that are going to be presented in the 'cue' stimulus
self.cuetext = ['relax', 'feet', 'left', 'right']
# load, and silently start, the continuous feedback sounds
self.sounds = []
if int(self.params['AudioFeedback']):
wavmat = self.params['FeedbackWavs']
for i in range(len(wavmat)):
wavlist = wavmat[i]
if len(wavlist) != 1: raise EndUserError, 'FeedbackWavs matrix should have 1 column'
try: snd = WavTools.player(wavlist[0])
except IOError: raise EndUserError, 'failed to load "%s"'%wavlist[0]
self.sounds.append(snd)
snd.vol = 0
snd.play(-1)
# finally, some fancy stuff from AppTools.StateMonitors, for the developer to check
# that everything's working OK
if int(self.params['ShowSignalTime']):
# turn on state monitors iff the packet clock is also turned on
addstatemonitor(self, 'Running', showtime=True)
addstatemonitor(self, 'CurrentBlock')
addstatemonitor(self, 'CurrentTrial')
addstatemonitor(self, 'TargetClass')
addstatemonitor(self, 'Learn')
addphasemonitor(self, 'phase', showtime=True)
m = addstatemonitor(self, 'fs_reg')
m.func = lambda x: '% 6.1fHz' % x._regfs.get('SamplesPerSecond', 0)
m.pargs = (self,)
m = addstatemonitor(self, 'fs_avg')
m.func = lambda x: '% 6.1fHz' % x.estimated.get('SamplesPerSecond',{}).get('global', 0)
m.pargs = (self,)
m = addstatemonitor(self, 'fs_run')
m.func = lambda x: '% 6.1fHz' % x.estimated.get('SamplesPerSecond',{}).get('running', 0)
m.pargs = (self,)
m = addstatemonitor(self, 'fr_run')
m.func = lambda x: '% 6.1fHz' % x.estimated.get('FramesPerSecond',{}).get('running', 0)
m.pargs = (self,)
self.distance = lambda a,b: numpy.sqrt((numpy.asarray(a-b)**2).sum(axis=-1))
self.distance_scaling = (2.0 ** self.bits['DistanceFromCenter'] - 1.0) / self.distance(self.positions['green'], self.positions['red'])
def Initialize(self, indim, outdim):
# compute how big everything should be
itf = float(self.params['InnerTriangleSize'])
otf = float(self.params['OuterTriangleSize'])
scrw,scrh = self.screen.size
scrsiz = min(scrw,scrh)
circle_radius = scrsiz * 0.5 * float(self.params['CircleRadius'])
siz = (scrsiz * otf * 0.866, scrsiz * otf * 0.75)
# use a handy AppTools.Boxes.box object as the coordinate frame for the triangle
b = box(size=siz, position=(scrw/2.0,scrh/2.0 - siz[1]/6.0), sticky=True)
center = b.map((0.5,2.0/3.0), 'position')
self.positions = {'origin': numpy.matrix(center)}
# draw the main triangle
triangle = PolygonTexture(frame=b, vertices=((0,1),(1,1),(0.5,0)), color=(0,0,0,0.5))
# the red target triangle
b.anchor='bottom'
b.scale(itf)
self.positions['red'] = numpy.matrix(b.position)
red = PolygonTexture(frame=b, vertices=((0,1),(1,1),(0.5,0)), color=(1,0.1,0.1))
b.scale(1.0 / itf)
# the green target triangle
b.anchor='upperleft'
b.scale(itf)
self.positions['green'] = numpy.matrix(b.position)
green = PolygonTexture(frame=b, vertices=((0,1),(1,1),(0.5,0)), color=(0.1,1,0.1))
b.scale(1.0 / itf);
# the blue target triangle
b.anchor='upperright'
b.scale(itf)
self.positions['blue'] = numpy.matrix(b.position)
blue = PolygonTexture(frame=b, vertices=((0,1),(1,1),(0.5,0)), color=(0.1,0.1,1))
b.scale(1.0 / itf);
# and the arrow
b.anchor='center'
fac = (0.25,0.4)
b.scale(fac)
arrow = PolygonTexture(frame=b, vertices=((0.22,0.35),(0,0.35),(0.5,0),(1,0.35),(0.78,0.35),(0.78,0.75),(0.22,0.75),), color=(1,1,1), on=False, position=center)
b.scale((1.0/fac[0],1.0/fac[1]))
# store the significant points on the screen for later use
self.p = numpy.concatenate((self.positions['red'],self.positions['green'],self.positions['blue']), axis=0)
# let's have a black background
self.screen.color = (0,0,0)
# OK, now register all those stimuli, plus a few more, with the framework
self.stimulus('circle', z=-1, stim=Disc(position=center, radius=circle_radius, color=(0,0,0)))
self.stimulus('triangle', z=1, stim=triangle)
self.stimulus('red', z=2, stim=red)
self.stimulus('green', z=2, stim=green)
self.stimulus('blue', z=2, stim=blue)
self.stimulus('cursor1', z=3, stim=Disc(position=center, radius=10, color=(1,1,1), on=False))
self.stimulus('cursor2', z=4, stim=Disc(position=center, radius=8, color=(0,0,0), on=False))
self.stimulus('arrow', z=4.5, stim=arrow)
self.stimulus('cue', z=5, stim=VisualStimuli.Text(text='?', position=center, anchor='center', color=(1,1,1), font_size=50, on=False))
self.stimulus('fixation', z=4.2, stim=Disc(position=center, radius=5, color=(1,1,1), on=False))
# set up the strings that are going to be presented in the 'cue' stimulus
self.cuetext = ['relax', 'feet', 'left', 'right']
# load, and silently start, the continuous feedback sounds
self.sounds = []
if int(self.params['AudioFeedback']):
wavmat = self.params['FeedbackWavs']
for i in range(len(wavmat)):
wavlist = wavmat[i]
if len(wavlist) != 1: raise EndUserError, 'FeedbackWavs matrix should have 1 column'
try: snd = WavTools.player(wavlist[0])
except IOError: raise EndUserError, 'failed to load "%s"'%wavlist[0]
self.sounds.append(snd)
snd.vol = 0
snd.play(-1)
# finally, some fancy stuff from AppTools.StateMonitors, for the developer to check
# that everything's working OK
if int(self.params['ShowSignalTime']):
# turn on state monitors iff the packet clock is also turned on
addstatemonitor(self, 'Running', showtime=True)
addstatemonitor(self, 'CurrentBlock')
addstatemonitor(self, 'CurrentTrial')
addstatemonitor(self, 'TargetClass')
addstatemonitor(self, 'Learn')
addphasemonitor(self, 'phase', showtime=True)
m = addstatemonitor(self, 'fs_reg')
m.func = lambda x: '% 6.1fHz' % x._regfs.get('SamplesPerSecond', 0)
m.pargs = (self,)
m = addstatemonitor(self, 'fs_avg')
m.func = lambda x: '% 6.1fHz' % x.estimated.get('SamplesPerSecond',{}).get('global', 0)
m.pargs = (self,)
m = addstatemonitor(self, 'fs_run')
m.func = lambda x: '% 6.1fHz' % x.estimated.get('SamplesPerSecond',{}).get('running', 0)
m.pargs = (self,)
m = addstatemonitor(self, 'fr_run')
m.func = lambda x: '% 6.1fHz' % x.estimated.get('FramesPerSecond',{}).get('running', 0)
m.pargs = (self,)
self.distance = lambda a,b: numpy.sqrt((numpy.asarray(a-b)**2).sum(axis=-1))
self.distance_scaling = (2.0 ** self.bits['DistanceFromCenter'] - 1.0) / self.distance(self.positions['green'], self.positions['red'])
def Initialize(self, indim, outdim):
#=======================================================================
# Set the list of TargetClasss (pseudorandomized)
#=======================================================================
n_trials = self.params['TrialsPerBlock'].val * self.params['BlocksPerRun'].val
classes_per_cluster = self.params['ClusterTargets'].val
trials_per_class = int(n_trials / self.nclasses)
if classes_per_cluster == 0: #We will cycle through targets.
self.target_codes = [item for sublist in [range(self.nclasses) for j in range(trials_per_class)] for item in sublist]
self.target_codes = [x+1 for x in self.target_codes]
elif classes_per_cluster ==1:
self.target_codes = [1 + x / trials_per_class for x in range(n_trials)] #Forcing int yields e.g., [0,0,0,1,1,1,2,2,2]
shuffle(self.target_codes)
else:
n_clusters = trials_per_class / classes_per_cluster
temp = []
for cc in range(n_clusters):
temp2 = [[j for jj in range(classes_per_cluster)] for j in range(self.nclasses)] #Generate a list of clusters, one per target
shuffle(temp2) #Shuffle the list of clusters
temp.append(temp2) #Append the list of clusters to what we have already.
self.target_codes = 1 + [x2 for x3 in [item for sublist in temp for item in sublist] for x2 in x3] #Flatten
#=======================================================================
# Screen
#=======================================================================
self.screen.color = (0,0,0) #let's have a black background
self.scrw,self.scrh = self.screen.size #Get the screen dimensions.
#===================================================================
# Create a box object as the coordinate frame for the screen.
# Manipulate its properties to get positional information for stimuli.
#===================================================================
scrsiz = min(self.scrw,self.scrh)
siz = (scrsiz, scrsiz)
b = box(size=siz, position=(self.scrw/2.0,self.scrh/2.0), sticky=True)
center = b.map((0.5,0.5), 'position')
self.positions = {'origin': np.matrix(center)} #Save the origin for later.
#=======================================================================
# Register the basic stimuli.
#=======================================================================
self.stimulus('cue', z=5, stim=VisualStimuli.Text(text='?', position=center, anchor='center', color=(1,1,1), font_size=50, on=False))
self.stimulus('fixation', z=4.2, stim=Disc(position=center, radius=5, color=(1,1,1), on=False))
#=======================================================================
# Make a few variables easier to access.
#=======================================================================
self.eegfs = self.nominal['SamplesPerSecond'] #Sampling rate
self.spb = self.nominal['SamplesPerPacket'] #Samples per block/packet
self.block_dur = 1000*self.spb/self.eegfs#duration (ms) of a sample block
self.taskMaxNBlocks = self.params['TaskMax'].val * self.eegfs / self.spb#Task will always go to response after this many blocks, even if extensions not ready
#=======================================================================
# State monitors for debugging.
#=======================================================================
if int(self.params['ShowSignalTime']):
# turn on state monitors iff the packet clock is also turned on
addstatemonitor(self, 'Running', showtime=True)
addstatemonitor(self, 'CurrentBlock')
addstatemonitor(self, 'CurrentTrial')
addstatemonitor(self, 'TargetClass')
addstatemonitor(self, 'LastTargetClass')
addstatemonitor(self, 'TaskMinNBlocks')
addphasemonitor(self, 'phase', showtime=True)
m = addstatemonitor(self, 'fs_reg')
m.func = lambda x: '% 6.1fHz' % x._regfs.get('SamplesPerSecond', 0)
m.pargs = (self,)
m = addstatemonitor(self, 'fs_avg')
m.func = lambda x: '% 6.1fHz' % x.estimated.get('SamplesPerSecond',{}).get('global', 0)
m.pargs = (self,)
m = addstatemonitor(self, 'fs_run')
m.func = lambda x: '% 6.1fHz' % x.estimated.get('SamplesPerSecond',{}).get('running', 0)
m.pargs = (self,)
m = addstatemonitor(self, 'fr_run')
m.func = lambda x: '% 6.1fHz' % x.estimated.get('FramesPerSecond',{}).get('running', 0)
m.pargs = (self,)
if 'MSEnable' in self.params: MagstimApp.initialize(self, indim, outdim)
if 'DigitimerEnable' in self.params: DigitimerApp.initialize(self, indim, outdim)
if 'GatingEnable' in self.params: GatingApp.initialize(self, indim, outdim)
if 'ERPDatabaseEnable' in self.params: ERPApp.initialize(self, indim, outdim)
if 'ContFeedbackEnable' in self.params: FeedbackApp.initialize(self, indim, outdim)
def Initialize(self, indim, outdim):
#=======================================================================
# Make a few variables easier to access, especially those accessed every packet.
#=======================================================================
self.go_thresh = self.params['GoThresh'].val
self.rev_thresh = self.params['ReverseThresh'].val
self.fbpos = (8, -50, -56.5)
#=======================================================================
# Screen
#=======================================================================
self.screen.color = (0,0,0) #let's have a black background
self.scrw,self.scrh = self.screen.size #Get the screen dimensions.
self.screen.app.camera.position = (0, 0, 0)
self.screen.app.camera.lookAt ((0, -35, -40))
self.screen.app.camera.nearClipDistance = 1
import ogre.renderer.OGRE as ogre
self.screen.app.camera.setFOVy(ogre.Degree(21.2))
#=======================================================================
# Register the cue text stimuli.
#=======================================================================
self.stimulus('cue', z=5, stim=VisualStimuli.Text(text='?', position=(400,400,0), anchor='center', color=(1,1,1), font_size=50, on=True))
self.stimuli['cue'].on = False
#=======================================================================
# Create the ruler
#=======================================================================
# #import ogre.renderer.OGRE as ogre
# ovm = ogre.OverlayManager.getSingleton()
# screen = ovm.getOverlayElement("screen")
# ve = screen.getChild("visionegg")
# #self.ruler = ovm.getByName("MyOverlays/Ruler")
# #self.ruler.show()
# self.ruler = ovm.createOverlayElement("Panel","Ruler")
# self.ruler.setMaterialName("MyMaterials/Ruler")
# self.ruler.setMetricsMode(ogre.GMM_PIXELS)
# #the ruler png is 8032 x 318
# rulerw = self.scrw*2
# rulerh = rulerw * 318.0/8032.0
# self.ruler.setWidth(rulerw)
# self.ruler.setHeight(rulerh)
# self.ruler.setTop(self.scrh/2.0 - rulerh)
# ve.addChild(self.ruler)
# self.ruler.hide()
self.ruler = OgreRenderer.EntityStimulus(mesh_name = 'Cube.mesh')
x = 5.0
self.ruler.node.scale(x, x, x)
self.ruler.node.setPosition(self.fbpos)
self.ruler.node.setVisible(False)
#=======================================================================
# Create the guillotine
#=======================================================================
self.guillotine = OgreRenderer.EntityStimulus(mesh_name = 'Box01.mesh') #starts off Vector3(63.7515, 3.38875, 86.0819)
self.guillotine.node.setPosition(self.fbpos)
self.guillotine.node.translate((0, 10, 0))
self.guillotine.node.scale(0.1, 0.1, 0.1)
self.guillotine.node.pitch(ogre.Degree(90))
self.guillotine.node.setVisible(False)
#=======================================================================
# Create the feedback
#=======================================================================
if self.params['FeedbackType'].val == 0 or self.params['FeedbackType'].val == 1:
self.feedback = OgreRenderer.HandStimulus()
self.feedback.node.yaw(ogre.Degree(-60))
self.feedback.node.roll(ogre.Degree(-40))
self.feedback.node.pitch(ogre.Degree(10))
#self.feedback.on = True
animState = self.feedback.entity.getAnimationState('my_animation')
animState.Loop = False
animState.timePosition = animState.length
animState.Enabled = True
#print self.feedback.entity.getWorldBoundingBox().getSize()
#Vector3(21.9954, 5.94256, 6.04828)
elif self.params['FeedbackType'].val == 2:
self.feedback = Disc()
self.feedback.node.scale(0.05, 0.05, 0.05)
self.feedbackspd = 12 #ogreunits / second
self.feedback.node.setPosition(self.fbpos)
self.feedback.node.setVisible(False)
if self.params['FeedbackType'].val == 1:
self.feedback.node.yaw(ogre.Degree(-180))
#=======================================================================
# State monitors for debugging.
#=======================================================================
if int(self.params['ShowSignalTime']):
# turn on state monitors iff the packet clock is also turned on
addstatemonitor(self, 'Running', showtime=True)
addstatemonitor(self, 'CurrentBlock')
addstatemonitor(self, 'CurrentTrial')
addstatemonitor(self, 'TargetClass')
addphasemonitor(self, 'phase', showtime=True)
addstatemonitor(self, 'RulerOffset')
addstatemonitor(self, 'ShouldAnim')
addstatemonitor(self, 'IsAnim')
addstatemonitor(self, 'AnimPcnt')
m = addstatemonitor(self, 'fs_reg')
m.func = lambda x: '% 6.1fHz' % x._regfs.get('SamplesPerSecond', 0)
m.pargs = (self,)
m = addstatemonitor(self, 'fs_avg')
m.func = lambda x: '% 6.1fHz' % x.estimated.get('SamplesPerSecond',{}).get('global', 0)
m.pargs = (self,)
m = addstatemonitor(self, 'fs_run')
m.func = lambda x: '% 6.1fHz' % x.estimated.get('SamplesPerSecond',{}).get('running', 0)
m.pargs = (self,)
m = addstatemonitor(self, 'fr_run')
m.func = lambda x: '% 6.1fHz' % x.estimated.get('FramesPerSecond',{}).get('running', 0)
m.pargs = (self,)
def Initialize(self, indim, outdim):
#=======================================================================
# Set the list of TargetClasss (pseudorandomized)
#=======================================================================
n_trials = self.params['TrialsPerBlock'].val * self.params[
'BlocksPerRun'].val
classes_per_cluster = self.params['ClusterTargets'].val
trials_per_class = int(n_trials / self.nclasses)
if classes_per_cluster == 0: #We will cycle through targets.
self.target_codes = [
item for sublist in
[range(self.nclasses) for j in range(trials_per_class)]
for item in sublist
]
self.target_codes = [x + 1 for x in self.target_codes]
elif classes_per_cluster == 1:
self.target_codes = [
1 + x / trials_per_class for x in range(n_trials)
] #Forcing int yields e.g., [0,0,0,1,1,1,2,2,2]
shuffle(self.target_codes)
else:
n_clusters = trials_per_class / classes_per_cluster
temp = []
for cc in range(n_clusters):
temp2 = [[j for jj in range(classes_per_cluster)]
for j in range(self.nclasses)
] #Generate a list of clusters, one per target
shuffle(temp2) #Shuffle the list of clusters
temp.append(
temp2
) #Append the list of clusters to what we have already.
self.target_codes = 1 + [
x2 for x3 in [item for sublist in temp for item in sublist]
for x2 in x3
] #Flatten
#=======================================================================
# Screen
#=======================================================================
self.screen.color = (0, 0, 0) #let's have a black background
self.scrw, self.scrh = self.screen.size #Get the screen dimensions.
#===================================================================
# Create a box object as the coordinate frame for the screen.
# Manipulate its properties to get positional information for stimuli.
#===================================================================
scrsiz = min(self.scrw, self.scrh)
siz = (scrsiz, scrsiz)
b = box(size=siz,
position=(self.scrw / 2.0, self.scrh / 2.0),
sticky=True)
center = b.map((0.5, 0.5), 'position')
self.positions = {
'origin': np.matrix(center)
} #Save the origin for later.
#=======================================================================
# Register the basic stimuli.
#=======================================================================
self.stimulus('cue',
z=5,
stim=VisualStimuli.Text(text='?',
position=center,
anchor='center',
color=(1, 1, 1),
font_size=50,
on=False))
self.stimulus('fixation',
z=4.2,
stim=Disc(position=center,
radius=5,
color=(1, 1, 1),
on=False))
#=======================================================================
# Make a few variables easier to access.
#=======================================================================
self.eegfs = self.nominal['SamplesPerSecond'] #Sampling rate
self.spb = self.nominal['SamplesPerPacket'] #Samples per block/packet
self.block_dur = 1000 * self.spb / self.eegfs #duration (ms) of a sample block
self.taskMaxNBlocks = self.params[
'TaskMax'].val * self.eegfs / self.spb #Task will always go to response after this many blocks, even if extensions not ready
#=======================================================================
# State monitors for debugging.
#=======================================================================
if int(self.params['ShowSignalTime']):
# turn on state monitors iff the packet clock is also turned on
addstatemonitor(self, 'Running', showtime=True)
addstatemonitor(self, 'CurrentBlock')
addstatemonitor(self, 'CurrentTrial')
addstatemonitor(self, 'TargetClass')
addstatemonitor(self, 'LastTargetClass')
addstatemonitor(self, 'TaskMinNBlocks')
addphasemonitor(self, 'phase', showtime=True)
m = addstatemonitor(self, 'fs_reg')
m.func = lambda x: '% 6.1fHz' % x._regfs.get('SamplesPerSecond', 0)
m.pargs = (self, )
m = addstatemonitor(self, 'fs_avg')
m.func = lambda x: '% 6.1fHz' % x.estimated.get(
'SamplesPerSecond', {}).get('global', 0)
m.pargs = (self, )
m = addstatemonitor(self, 'fs_run')
m.func = lambda x: '% 6.1fHz' % x.estimated.get(
'SamplesPerSecond', {}).get('running', 0)
m.pargs = (self, )
m = addstatemonitor(self, 'fr_run')
m.func = lambda x: '% 6.1fHz' % x.estimated.get(
'FramesPerSecond', {}).get('running', 0)
m.pargs = (self, )
if 'MSEnable' in self.params:
MagstimApp.initialize(self, indim, outdim)
if 'DigitimerEnable' in self.params:
DigitimerApp.initialize(self, indim, outdim)
if 'GatingEnable' in self.params:
GatingApp.initialize(self, indim, outdim)
if 'ERPDatabaseEnable' in self.params:
ERPApp.initialize(self, indim, outdim)
if 'ContFeedbackEnable' in self.params:
FeedbackApp.initialize(self, indim, outdim)
