from tools import sound_freq_sweep,compound_sound
import numpy as np
from psychopy.sound import Sound
from psychopy import visual
p = dict(
check_eye_movements=True, #False,
# Display:
monitor = 'CRT_NEC_FE992',
full_screen = True,
screen_number = 1,
# Sounds:
correct_sound = Sound(value='G', secs=0.1, octave=5, sampleRate=44100, bits=16),
incorrect_sound = Sound(value='G', secs=0.1, octave=4, sampleRate=44100, bits=16),
eye_movement_sound = Sound(sound_freq_sweep(8000, 100, .2)),
# General:
n_trials = 150,
fixation_size = 0.1,
rgb = np.array([1.,1.,1.]),
# Element array:
sf = 4,
elems_per_row = 30,
elem_size = 2.5,
elem_spacing = 1,
jitter = 0.08,
res = 128,
# Cue:
cue_size = [2,2],
line_width = 5,
# Timing:
cue_dur = 0.2,
from tools import sound_freq_sweep, compound_sound
import numpy as np
from psychopy.sound import Sound
from psychopy import visual
p = dict(
# Display:
monitor='CRT_NEC_FE992',
full_screen=True,
screen_number=1,
# Sounds:
correct_sound=Sound(sound_freq_sweep(2000, 2000, .1)),
incorrect_sound=Sound(sound_freq_sweep(8000, 200, .1)),
# General:
n_trials=150,
fixation_size=0.1,
rgb=np.array([1., 1., 1.]),
# Element array:
sf=4,
elems_per_row=30,
elem_size=2.5,
elem_spacing=1,
jitter=0.08,
res=128,
# Cue:
cue_size=[2, 2],
line_width=5,
# Timing:
cue_dur=0.2,
cue_to_ea=0.6,
#texture_dur = 0.05,
from tools import sound_freq_sweep, compound_sound
from psychopy.sound import Sound
p = dict(
color_target=True,
monitor='SportsMedicineLab',
screen_number=0,
scanner=False,
eye_motion=True,
full_screen=False,
save_fig=True,
#Feedback sounds
incorrect_sound=Sound(sound_freq_sweep(8000, 200, .1)),
correct_sound=Sound(sound_freq_sweep(2000, 2000, .1)),
no_response_sound=Sound(sound_freq_sweep(500, 700, .1)),
eye_motion_sound=Sound(compound_sound([200, 400, 800], .2)),
fixation_size=3.0,
target_dur=0.1,
response_dur=1.5,
feedback_dur=0.3,
iti=0.24,
isi=0.3,
interblock_interval=0.54,
# block_duration = 12, Enforce this!
n_trials=5,
n_blocks=12,
target_size=4,
target_x=4,
target_y=4,
sf_base=1,
import numpy as np
from tools import sound_freq_sweep
from psychopy.sound import Sound
p = dict(
# Display:
monitor = 'ESI_psychophys',
full_screen = False,
screen_number = 0, #1,
refresh_rate = 60, # Hz
# Sounds:
correct_sound = Sound(sound_freq_sweep(2000,2000,.1)),
incorrect_sound = Sound(sound_freq_sweep(8000, 200, .1)),
# General:
fixation_size = 0.25,
rgb = np.array([1.,1.,1.]),
# Stimuli:
res = 128,
temporal_freq = 4, # 0 for no flicker
sf = 2, # cycles/deg
ecc = 6, # dva
center_size = 3,
surr_size = 8,
center_contrast = np.array([0.3]),
center_comparison = np.array( [-0.29, -0.2, -0.1, 0., 0.1, 0.2,
0.25, 0.3, 0.35, 0.4, 0.6]),
surr_contrast = 1,
div_color = -1,
# Timing:
cue_dur = 0.5,
cue_to_stim = 0.3,
from tools import sound_freq_sweep,compound_sound
from psychopy.sound import Sound
p = dict(
color_target=True,
monitor='SportsMedicineLab',
screen_number = 0,
scanner = False,
eye_motion = True,
full_screen = False,
save_fig=True,
#Feedback sounds
incorrect_sound = Sound(sound_freq_sweep(8000, 200, .1)),
correct_sound = Sound(sound_freq_sweep(2000,2000,.1)),
no_response_sound = Sound(sound_freq_sweep(500, 700, .1)),
eye_motion_sound = Sound(compound_sound([200,400,800], .2)),
fixation_size = 3.0,
target_dur = 0.1,
response_dur = 1.5,
feedback_dur = 0.3,
iti = 0.24,
isi = 0.3,
interblock_interval=0.54,
# block_duration = 12, Enforce this!
n_trials = 5,
n_blocks = 12,
target_size = 4,
target_x = 4,
target_y = 4,
sf_base = 1,