for t in range(n_trials):
# put here things that change at the beginning of every trial
image_trial = 'patch{}.png'.format(block['image_number'][t])
correct_resp_trial = block['correct_response'][t]
patch_image.image = os.path.join(directory_stimuli, image_trial)
# first event
trial_routine.wait_for_time_limit(
components=[],
time_seconds=fixation_duration,
label='fixation_cross')
# second event
key, rt = trial_routine.wait_for_keys_or_time_limit(
components=[patch_image],
time_seconds=choice_timeout,
valid_keys=choice_keys,
label='patch_choice')
# third event
if rt >= choice_timeout: # if no response was given (key == np.nan is also ok)
accuracy_trial = np.nan
message = too_slow_message
elif key == correct_resp_trial: # if the correct response was given
accuracy_trial = 1
message = correct_message
else: # if the incorrect response was given
accuracy_trial = 0
message = incorrect_message
if bl == 0: # only give a message in the learning block
right_feedback.text = '%s' % stimuli.loc[t, 'right_feedback']
left_picture.image = os.path.join(os.getcwd(), 'stimuli', 'example_4',
stimuli.loc[t, 'left_image'])
right_picture.image = os.path.join(os.getcwd(), 'stimuli', 'example_4',
stimuli.loc[t, 'right_image'])
# first event
trial_routine.wait_for_time_limit(components=[fixation_cross],
time_seconds=fixation_duration,
label='fixation_cross')
# second event
key, rt = trial_routine.wait_for_keys_or_time_limit(
components=[left_picture, right_picture],
valid_keys=choice_keys,
time_seconds=choice_time_limit,
label='gamble_choice')
data = data.append(
{
'rt': rt,
'choice': key,
'trial': t,
'f_right': stimuli.loc[t, 'right_feedback'],
'f_left': stimuli.loc[t, 'left_feedback'],
'i_right': stimuli.loc[t, 'right_image'],
'i_left': stimuli.loc[t, 'left_image'],
'trial_type': stimuli.loc[t, 'trial_type'],
},
ignore_index=True) # record the responses
#draw the stimuli
trial_routine = Routine(window=mywin, frames_per_second=frames_per_second, escape_key=escape_key)
for t in range(n_trials):
# put here things that change every trial
changing_gamble.text = 'a sure gain of CHF %s' % rewards[t]
# first event
trial_routine.wait_for_time_limit(
components=[fixation_cross],
time_seconds=fixation_duration,
label='fixation_cross')
# second event
key, rt = trial_routine.wait_for_keys_or_time_limit(
components=[fixed_gamble, changing_gamble],
valid_keys=choice_keys,
time_seconds=choice_time_limit,
label='gamble_choice')
data = data.append({'rt':rt, 'choice': key, 'trial': t, 'reward': rewards[t]}, ignore_index=True) # record the responses
#save data to file
for label in expInfo.keys():
data[label] = expInfo[label]
data.to_csv(fileName + '.csv')
#cleanup
mywin.close()
core.quit()
escape_key=escape_key)
for t in range(n_trials):
# put here things that change every trial
A_feedback.text = '%s' % A_feedback_trials[t]
B_feedback.text = '%s' % B_feedback_trials[t]
# first event
trial_routine.wait_for_time_limit(components=[fixation_cross],
time_seconds=fixation_duration,
label='fixation_cross')
# second event
key, rt = trial_routine.wait_for_keys_or_time_limit(
components=[A_picture, B_picture],
valid_keys=choice_keys,
time_seconds=choice_time_limit,
label='choice')
data = data.append(
{
'rt': rt,
'choice': key,
'trial': t,
'f_A': A_feedback_trials[t],
'f_B': B_feedback_trials[t]
},
ignore_index=True) # record the responses
if key == 'q':
# third event
trial_routine.wait_for_time_limit(components=[B_feedback],
