def dtanovaeachs(self):
return flist([
DTAnovaEach(trial_sf=sf, trial_contrast=ct)
for sf in self.condition.sfrequencies
for ct in self.condition.contrasts
])
def dtorientationsfits(self):
return flist([
DTOrientationsFit(trial_sf=sf, trial_contrast=ct)
for sf in self.condition.sfrequencies
for ct in self.condition.contrasts
])
def dtorientationbestprefs(self):
return flist([
DTOrientationBestPref(trial_contrast=ct)
for ct in self.condition.contrasts
])
def dff0s(self):
return flist(
[datatag for roi in self.rois for datatag in roi.dttrialdff0s])
def dtanovaalls(self):
return flist(
[DTAnovaAll(trial_contrast=ct) for ct in self.condition.contrasts])
def dtsfreqfits(self):
return flist(
[DTSFreqFit(trial_contrast=ct) for ct in self.condition.contrasts])