def run(self):
# set up presentation window color, and size
bgcolor = 'black'
txtcolor = 'white'
self.win = visual.Window(fullscr=True, color=bgcolor)
#self.win = visual.Window((1200, 900), color=bgcolor) # temporary presentation window setup, exchange for line above when running actual experiment
self.text = visual.TextStim(self.win, color=txtcolor)
words = [
audio.read(self.stimuli_prefix + str(i + 1) + '.wav')
for i in range(24)
]
recordings = []
self.text.text = '||'
self.text.draw()
self.win.flip()
audio.play(audio.read(self.instructions_folder + self.mode + '.wav'),
wait=True)
key = event.waitKeys(keyList=['return'])
for word in words:
self.text.text = '+'
self.text.draw()
self.win.flip()
audio.play(word, wait=True)
self.text.text = '-'
self.text.draw()
self.win.flip()
recordings += [audio.record(((len(word) / 44100) + 1), wait=True)]
for i in range(len(words)):
audio.write(self.log_prefix + str(i + 1) + '.wav', recordings[i])
self.win.close()
def run_net():
while True:
cfinished.clear()
_globals.nn.on_timer()
_globals.t += 1
max = 0.0
_id = -1
avg=0
data=read(exception_on_overflow = False)
for s in data:
#print(s)
_globals.nn.neurons[96+1+s].activate(0,1.0)
_globals.nn.on_timer()
cnt=0
#for c in np.ndarray.flatten(get_video()):
# _globals.nn.neurons[96+256+cnt].activate(0,c/255.0)
# cnt+=1
_globals.nn.on_timer()
for i, n in enumerate(_globals.nn.neurons[:96]):
if n.out > max:
max = n.out
_id = i
avg=avg+n.cur
if _id != -1:
print(chr(_id+ord(' ')), end="")
avg/=96.0
line.set_ydata(avg)
line.set_xdata(_globals.t)
ax.relim()
ax.autoscale_view(True, True, True)
plt.draw()
cfinished.set()
def samp(n):
savegain = audio.getoutgain()
try:
audio.setoutgain(0)
x = raw_input('Hit Enter to sample ' + `n` + ' seconds: ')
return audio.read(n*RATE)
finally:
audio.setoutgain(savegain)
def record(a):
p = a.back
size = int(10.0 * 8192.0 * p.recordsize.val)
a.val = 1.0
a.fixact()
panel.drawpanel()
audio.setoutgain(0)
p.sample = audio.read(size)
a.val = 0.0
a.fixact()
def run(self):
# set up presentation window color, and size
bgcolor = 'black'
txtcolor = 'white'
self.win = visual.Window(fullscr=True, color=bgcolor)
#self.win = visual.Window((1200, 900), color=bgcolor) # temporary presentation window setup, exchange for line above when running actual experiment
self.text = visual.TextStim(self.win, color=txtcolor)
with open(self.trials_fname, 'rU') as trial_file:
# read trial structure
trials = list(csv.DictReader(trial_file, delimiter='\t'))
# preload stimuli
stimuli = [audio.read(self.stimuli_folder + trial['stimulus']) for trial in trials]
recordings = []
self.text.text = '||'
self.text.draw()
self.win.flip()
audio.play(audio.read(self.instructions_folder + self.mode + '.wav'), wait=True)
key = event.waitKeys(keyList=['return'])
self.win.flip()
for stimulus in stimuli:
self.text.text = '+'
self.text.draw()
self.win.flip()
audio.play(stimulus, wait=True)
self.text.text = '-'
self.text.draw()
self.win.flip()
recordings += [audio.record((len(stimulus) / 44100.0) + 1, wait=True)]
keys = event.getKeys(['escape'])
if 'escape' in keys:
break
for i in range(len(recordings)):
audio.write(self.log_prefix + trials[i]['stimulus'], recordings[i])
self.win.close()
def message_trial(self, trial):
# present instruction trial
self.title.text = trial['title']
self.title.draw()
self.win.callOnFlip(self.clock.reset)
self.win.flip()
audio.play(audio.read(self.instructions_folder + 'ravens.wav'),
wait=True)
keys = event.waitKeys(keyList=['escape'] +
trial['keyboard'].split(','),
timeStamped=self.clock)
trial['keypress'], trial['RT'] = keys[0]
if trial['keypress'] == 'escape':
core.quit()
self.expclock.reset()
return trial
def run(self):
# set up presentation window color, and size
bgcolor = 'white'
txtcolor = 'black'
self.win = visual.Window(fullscr=True, color=bgcolor)
#self.win = visual.Window((1200, 900), color=bgcolor) # temporary presentation window setup, exchange for line above when running actual experiment
# set up timing related stuff
self.frame_dur = 1.0 / self.fps
self.clock = core.Clock() # trial timer
self.expclock = core.Clock() # whole experiment timer
# inter trial interval setup
self.isi = core.StaticPeriod()
self.isi.start(.5)
# various stimulus presentation boxes for text and images
self.text = visual.TextStim(self.win, color=txtcolor)
self.message = visual.TextStim(self.win, color=txtcolor)
self.message.wrapWidth = 1.5
self.title = visual.TextStim(self.win, pos=(0, .8), color=txtcolor)
self.title.wrapWidth = 1.5
self.image = visual.ImageStim(self.win)
# actually run the experiment routines
with open(self.trials_fname,
'rU') as trial_file, open(self.log_fname, 'w',
newline='') as log_file:
# read trial structure
trials = csv.DictReader(trial_file, delimiter='\t')
# set up log file
log_fields = trials.fieldnames + ['keypress', 'RT', 'ACC', 't'
] + list(self.pp_info.keys())
log = csv.DictWriter(log_file,
fieldnames=log_fields,
delimiter='\t')
log.writeheader()
# preload block and instructions
blocks = {}
self.instructions = {}
for trial in trials:
trial.update(self.pp_info)
if (trial['trialAudio'] != '') and (
trial['trialAudio'] not in self.instructions.keys()):
self.instructions[trial['trialAudio']] = audio.read(
self.instructions_folder + trial['trialAudio'])
if trial['block'] not in blocks.keys():
blocks[trial['block']] = [trial]
else:
blocks[trial['block']].append(trial)
for i in range(5, 0, -1):
self.text.text = '+' * (2 * i - 1)
self.text.draw()
self.win.flip()
core.wait(1)
# present the trials
random.seed(self.pp_info['number'])
for block_number in sorted(blocks.keys()):
trials = blocks[block_number]
if trials[0]['randomize'] == 'yes':
random.shuffle(trials)
for trial in trials:
self.clock.reset() # reset trial clock
trial = self.present_trial(trial) # present the trial
log.writerow(trial) # log the trial data
self.win.close()
def run():
while True:
data = analyzer.analyze(audio.read())
pretty.update_heights(data)
led_controller.update(pretty.columns, pretty.spacers)