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,