def prepare_staircases(self):
self.nr_staircases_ecc = 3
# Color, Speed, Fix, Fix_no_stim
self.initial_values = [1,2.5,2,2]
self.staircase_file_name = os.path.join(os.path.split(self.output_file)[0], self.subject_initials + '_prf_quest.pickle')
if os.path.exists( self.staircase_file_name ):
with open(self.staircase_file_name) as f:
self.staircases = pickle.load(f)
else:
# create staircases
self.staircases = {}
for i, t in enumerate(self.tasks):
if t != 'Fix_no_stim':
for j in range(self.nr_staircases_ecc):
self.staircases.update({t + '_%i'%j:
Quest.QuestObject(
tGuess = self.initial_values[i],
tGuessSd = self.initial_values[i]*0.5,
pThreshold = 0.83,
beta = 3.5,
delta = 0.05,
gamma = 0.0,
grain = 0.01,
range = None
)
})
else:
self.staircases.update({t:
Quest.QuestObject(
tGuess = self.initial_values[i],
tGuessSd = self.initial_values[i]*0.35,
pThreshold = 0.83,
beta = 3.5,
delta = 0.05,
gamma = 0.0,
grain = 0.01,
range = None
)
})
def prepare(self):
"""Prepares the plug-in."""
self.experiment.quest = Quest.QuestObject(self.get(u't_guess'),
self.get(u't_guess_sd'),
self.get(u'p_threshold'),
self.get(u'beta'),
self.get(u'delta'),
self.get(u'gamma'))
self.experiment.quest_set_next_test_value = \
self.quest_set_next_test_value
self.experiment.quest_set_next_test_value()
def prepare(self): """ desc: Prepares the plug-in. """ self.experiment.quest = Quest.QuestObject(self.var.t_guess, self.var.t_guess_sd, self.var.p_threshold, self.var.beta, self.var.delta, self.var.gamma) self.experiment.quest_set_next_test_value = \ self.quest_set_next_test_value self.experiment.quest_set_next_test_value()
def prepare_staircases(self):
# staircases
self.initial_value = 2 # for self.unique_tasks,
self.staircase_file_name = os.path.join(
os.path.split(self.output_file)[0],
self.subject_initials + '_mapper_quest.pickle')
if os.path.exists(self.staircase_file_name):
with open(self.staircase_file_name) as f:
self.staircases = pickle.load(f)
else:
# create staircases
self.staircases = {}
self.staircases.update({
'fix':
Quest.QuestObject(tGuess=self.initial_value,
tGuessSd=self.initial_value * 0.35,
pThreshold=0.83,
beta=3.5,
delta=0.01,
gamma=0.0,
grain=0.01,
range=None)
})