def Preflight(self, sigprops):
#Setup screen
siz = float(self.params['WindowSize'])
screenid = int(self.params['ScreenId']) # ScreenId 0 is the first screen, 1 the second, -1 the last
fullscreen(scale=siz, id=screenid, frameless_window=(siz==1)) # only use a borderless window if the window is set to fill the whole screen
self.nclasses = len(self.params['GoCueText'])#Must be defined in Preflight because it is used by extension preflight.
n_trials = self.params['TrialsPerBlock'].val * self.params['BlocksPerRun'].val
trials_per_class = int(n_trials / self.nclasses)
if self.params['ClusterTargets'].val>0 and not (trials_per_class % self.params['ClusterTargets'].val == 0):
raise EndUserError, "ClusterTargets must be a integer factor of the number of trials per target"
#If using gating or visual feedback, check that the target ranges make sense.
if ('GatingEnable' in self.params and int(self.params['GatingEnable'].val) or ('ContFeedbackEnable' in self.params and self.params['ContFeedbackEnable'].val)==1):
targrange=self.params['TargetRange'].val
if targrange.shape[0] != self.nclasses: raise EndUserError, "TargetRange must have entries for each target"
if targrange.shape[1]!=2: raise EndUserError, "TargetRange must have Min and Max values"
if any([ar[(0,0)] > ar[(0,1)] for ar in targrange]): raise EndUserError, "TargetRange must be in increasing order"
self.target_range=np.asarray(targrange,dtype='float64')
if 'GatingEnable' in self.params: GatingApp.preflight(self, sigprops)
if 'MSEnable' in self.params: MagstimApp.preflight(self, sigprops)
if 'DigitimerEnable' in self.params: DigitimerApp.preflight(self, sigprops)
if 'ERPDatabaseEnable' in self.params: ERPApp.preflight(self, sigprops)
if 'ContFeedbackEnable' in self.params: FeedbackApp.preflight(self, sigprops)
def Process(self, sig):
#Process is called on every packet
#Phase transitions occur independently of packets
#Therefore it is not desirable to use phases for application logic in Process
if 'MSEnable' in self.params: MagstimApp.process(self, sig)
if 'DigitimerEnable' in self.params: DigitimerApp.process(self, sig)
if 'ERPDatabaseEnable' in self.params: ERPApp.process(self, sig)
if 'ContFeedbackEnable' in self.params: FeedbackApp.process(self, sig)
if 'GatingEnable' in self.params: GatingApp.process(self, sig)
#If we are in Task, and we are using GatingApp or MagstimApp or DigitimerApp
if self.taskMaxNBlocks > 0 and self.in_phase(
'task', min_packets=self.taskMaxNBlocks):
self.change_phase('response')
elif self.in_phase('task', min_packets=self.states['TaskMinNBlocks']):
criteria_met = not 'GatingEnable' in self.params or not int(
self.params['GatingEnable']) or self.states['GatingOK']
magstim_ready = not 'MSEnable' in self.params or not int(
self.params['MSEnable']) or self.states['MagstimReady']
digitimer_ready = not 'DigitimerEnable' in self.params or not int(
self.params['DigitimerEnable']
) or self.states['DigitimerReady']
if criteria_met and magstim_ready and digitimer_ready:
self.change_phase('response')
#If we are in Response and we are using ERPApp and the ERP has been collected
if self.in_phase('response') and \
'ERPDatabaseEnable' in self.params and int(self.params['ERPDatabaseEnable']) and self.states['ERPCollected']:
self.change_phase('stopcue')
def Event(self, phase, event):
if 'MSEnable' in self.params: MagstimApp.event(self, phase, event)
if 'DigitimerEnable' in self.params: DigitimerApp.event(self, phase, event)
if 'GatingEnable' in self.params: GatingApp.event(self, phase, event)
if 'ERPDatabaseEnable' in self.params: ERPApp.event(self, phase, event)
if 'ContFeedbackEnable' in self.params: FeedbackApp.event(self, phase, event)
#################################################################
#################################################################
def StartRun(self):
#if int(self.params['ShowFixation']):
self.states['LastTargetClass'] = self.target_codes[0]
self.stimuli['fixation'].on = True
if 'MSEnable' in self.params: MagstimApp.startrun(self)
if 'DigitimerEnable' in self.params: DigitimerApp.startrun(self)
if 'GatingEnable' in self.params: GatingApp.startrun(self)
if 'ERPDatabaseEnable' in self.params: ERPApp.startrun(self)
if 'ContFeedbackEnable' in self.params: FeedbackApp.startrun(self)
def StartRun(self):
#if int(self.params['ShowFixation']):
self.states['LastTargetClass'] = self.target_codes[0]
self.stimuli['fixation'].on = True
if 'MSEnable' in self.params: MagstimApp.startrun(self)
if 'DigitimerEnable' in self.params: DigitimerApp.startrun(self)
if 'GatingEnable' in self.params: GatingApp.startrun(self)
if 'ERPDatabaseEnable' in self.params: ERPApp.startrun(self)
if 'ContFeedbackEnable' in self.params: FeedbackApp.startrun(self)
def Event(self, phase, event):
if 'MSEnable' in self.params: MagstimApp.event(self, phase, event)
if 'DigitimerEnable' in self.params:
DigitimerApp.event(self, phase, event)
if 'GatingEnable' in self.params: GatingApp.event(self, phase, event)
if 'ERPDatabaseEnable' in self.params: ERPApp.event(self, phase, event)
if 'ContFeedbackEnable' in self.params:
FeedbackApp.event(self, phase, event)
#################################################################
#################################################################
def Transition(self, phase):
# present stimuli and update state variables to record what is going on
#=======================================================================
# #Update some states
# self.states['Intertrial'] = int(phase in ['intertrial'])
self.states['Baseline'] = int(phase in ['baseline'])
self.states['GoCue'] = int(phase in ['gocue'])
self.states['Task'] = int(phase in ['task'])
# self.states['Response'] = int(phase in ['response'])
# self.states['StopCue'] = int(phase in ['stopcue'])
#=======================================================================
if phase == 'intertrial':
pass
elif phase == 'baseline':
pass
#Do I need the new TargetClass in baseline for any of the addons?
#If not, then it belongs in gocue for consistency with regular BCI2000 modules.
elif phase == 'gocue':
self.states['TargetClass'] = self.target_codes[
self.states['CurrentTrial'] - 1]
t = self.states[
'TargetClass'] #It's useful to pull from states in case "enslave states" is used.
self.states[
'LastTargetClass'] = t #LastTargetClass maintains throughout baseline.
self.stimuli['cue'].text = self.params['GoCueText'][t - 1]
elif phase == 'task':
task_length = self.params['TaskDur'].val + random(
) * self.params['TaskRand'].val
self.states['TaskMinNBlocks'] = task_length * self.eegfs / self.spb
elif phase == 'response':
pass
elif phase == 'stopcue':
self.stimuli['cue'].text = "Relax"
self.states[
'TargetClass'] = 0 #Note we don't turn off the LastTargetClass
self.stimuli['cue'].on = (phase in ['gocue', 'stopcue'])
if 'MSEnable' in self.params: MagstimApp.transition(self, phase)
if 'DigitimerEnable' in self.params:
DigitimerApp.transition(self, phase)
if 'GatingEnable' in self.params: GatingApp.transition(self, phase)
if 'ERPDatabaseEnable' in self.params: ERPApp.transition(self, phase)
if 'ContFeedbackEnable' in self.params:
FeedbackApp.transition(self, phase)
def Transition(self, phase):
# present stimuli and update state variables to record what is going on
#=======================================================================
# #Update some states
# self.states['Intertrial'] = int(phase in ['intertrial'])
self.states['Baseline'] = int(phase in ['baseline'])
self.states['GoCue'] = int(phase in ['gocue'])
self.states['Task'] = int(phase in ['task'])
# self.states['Response'] = int(phase in ['response'])
# self.states['StopCue'] = int(phase in ['stopcue'])
#=======================================================================
if phase == 'intertrial':
pass
elif phase == 'baseline':
pass
#Do I need the new TargetClass in baseline for any of the addons?
#If not, then it belongs in gocue for consistency with regular BCI2000 modules.
elif phase == 'gocue':
self.states['TargetClass'] = self.target_codes[self.states['CurrentTrial']-1]
t = self.states['TargetClass'] #It's useful to pull from states in case "enslave states" is used.
self.states['LastTargetClass'] = t#LastTargetClass maintains throughout baseline.
self.stimuli['cue'].text = self.params['GoCueText'][t-1]
elif phase == 'task':
task_length = self.params['TaskDur'].val + random()*self.params['TaskRand'].val
self.states['TaskMinNBlocks'] = task_length * self.eegfs / self.spb
elif phase == 'response':
pass
elif phase == 'stopcue':
self.stimuli['cue'].text = "Relax"
self.states['TargetClass'] = 0 #Note we don't turn off the LastTargetClass
self.stimuli['cue'].on = (phase in ['gocue', 'stopcue'])
if 'MSEnable' in self.params: MagstimApp.transition(self, phase)
if 'DigitimerEnable' in self.params: DigitimerApp.transition(self, phase)
if 'GatingEnable' in self.params: GatingApp.transition(self, phase)
if 'ERPDatabaseEnable' in self.params: ERPApp.transition(self, phase)
if 'ContFeedbackEnable' in self.params: FeedbackApp.transition(self, phase)
def Preflight(self, sigprops):
#Setup screen
siz = float(self.params['WindowSize'])
screenid = int(
self.params['ScreenId']
) # ScreenId 0 is the first screen, 1 the second, -1 the last
fullscreen(
scale=siz, id=screenid, frameless_window=(siz == 1)
) # only use a borderless window if the window is set to fill the whole screen
self.nclasses = len(
self.params['GoCueText']
) #Must be defined in Preflight because it is used by extension preflight.
n_trials = self.params['TrialsPerBlock'].val * self.params[
'BlocksPerRun'].val
trials_per_class = int(n_trials / self.nclasses)
if self.params['ClusterTargets'].val > 0 and not (
trials_per_class % self.params['ClusterTargets'].val == 0):
raise EndUserError, "ClusterTargets must be a integer factor of the number of trials per target"
#If using gating or visual feedback, check that the target ranges make sense.
if ('GatingEnable' in self.params
and int(self.params['GatingEnable'].val)
or ('ContFeedbackEnable' in self.params
and self.params['ContFeedbackEnable'].val) == 1):
targrange = self.params['TargetRange'].val
if targrange.shape[0] != self.nclasses:
raise EndUserError, "TargetRange must have entries for each target"
if targrange.shape[1] != 2:
raise EndUserError, "TargetRange must have Min and Max values"
if any([ar[(0, 0)] > ar[(0, 1)] for ar in targrange]):
raise EndUserError, "TargetRange must be in increasing order"
self.target_range = np.asarray(targrange, dtype='float64')
if 'GatingEnable' in self.params: GatingApp.preflight(self, sigprops)
if 'MSEnable' in self.params: MagstimApp.preflight(self, sigprops)
if 'DigitimerEnable' in self.params:
DigitimerApp.preflight(self, sigprops)
if 'ERPDatabaseEnable' in self.params: ERPApp.preflight(self, sigprops)
if 'ContFeedbackEnable' in self.params:
FeedbackApp.preflight(self, sigprops)
def Process(self, sig):
#Process is called on every packet
#Phase transitions occur independently of packets
#Therefore it is not desirable to use phases for application logic in Process
if 'MSEnable' in self.params: MagstimApp.process(self, sig)
if 'DigitimerEnable' in self.params: DigitimerApp.process(self, sig)
if 'ERPDatabaseEnable' in self.params: ERPApp.process(self, sig)
if 'ContFeedbackEnable' in self.params: FeedbackApp.process(self, sig)
if 'GatingEnable' in self.params: GatingApp.process(self, sig)
#If we are in Task, and we are using GatingApp or MagstimApp or DigitimerApp
if self.taskMaxNBlocks>0 and self.in_phase('task', min_packets=self.taskMaxNBlocks):
self.change_phase('response')
elif self.in_phase('task', min_packets=self.states['TaskMinNBlocks']):
criteria_met = not 'GatingEnable' in self.params or not int(self.params['GatingEnable']) or self.states['GatingOK']
magstim_ready = not 'MSEnable' in self.params or not int(self.params['MSEnable']) or self.states['MagstimReady']
digitimer_ready = not 'DigitimerEnable' in self.params or not int(self.params['DigitimerEnable']) or self.states['DigitimerReady']
if criteria_met and magstim_ready and digitimer_ready:
self.change_phase('response')
#If we are in Response and we are using ERPApp and the ERP has been collected
if self.in_phase('response') and \
'ERPDatabaseEnable' in self.params and int(self.params['ERPDatabaseEnable']) and self.states['ERPCollected']:
self.change_phase('stopcue')
def StopRun(self):
if 'MSEnable' in self.params: MagstimApp.stoprun(self)
if 'DigitimerEnable' in self.params: DigitimerApp.stoprun(self)
if 'GatingEnable' in self.params: GatingApp.stoprun(self)
if 'ERPDatabaseEnable' in self.params: ERPApp.stoprun(self)
if 'ContFeedbackEnable' in self.params: FeedbackApp.stoprun(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)
def StopRun(self):
if 'MSEnable' in self.params: MagstimApp.stoprun(self)
if 'DigitimerEnable' in self.params: DigitimerApp.stoprun(self)
if 'GatingEnable' in self.params: GatingApp.stoprun(self)
if 'ERPDatabaseEnable' in self.params: ERPApp.stoprun(self)
if 'ContFeedbackEnable' in self.params: FeedbackApp.stoprun(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)
