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):
#=======================================================================
# 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)
