# initialize LocallySparseNoise object
lsn = stim.LocallySparseNoise(monitor=mon, indicator=ind, pregap_dur=pregap_dur,
postgap_dur=postgap_dur, coordinate=coordinate,
background=background, subregion=lsn_subregion,
grid_space=lsn_grid_space, sign=lsn_sign,
probe_size=lsn_probe_size, probe_orientation=lsn_probe_orientation,
probe_frame_num=lsn_probe_frame_num, iteration=lsn_iteration,
is_include_edge=lsn_is_include_edge, min_distance=lsn_min_distance)
# initialize DisplaySequence object
ds = DisplaySequence(log_dir=ds_log_dir, backupdir=ds_backupdir,
identifier=ds_identifier, display_iter=ds_display_iter,
mouse_id=ds_mouse_id, user_id=ds_user_id,
psychopy_mon=ds_psychopy_mon, is_by_index=ds_is_by_index,
is_interpolate=ds_is_interpolate, is_triggered=ds_is_triggered,
trigger_event=ds_trigger_event, trigger_NI_dev=ds_trigger_NI_dev,
trigger_NI_port=ds_trigger_NI_port, trigger_NI_line=ds_trigger_NI_line,
is_sync_pulse=ds_is_sync_pulse, sync_pulse_NI_dev=ds_sync_pulse_NI_dev,
sync_pulse_NI_port=ds_sync_pulse_NI_port,
sync_pulse_NI_line=ds_sync_pulse_NI_line,
display_screen=ds_display_screen,
initial_background_color=ds_initial_background_color)
# display
# =============================== display =========================================
ds.set_stim(lsn)
ds.trigger_display()
plt.show()
# =================================================================================
import retinotopic_mapping.StimulusRoutines as stim from retinotopic_mapping.DisplayStimulus import DisplaySequence from retinotopic_mapping.MonitorSetup import Monitor, Indicator mon = Monitor(resolution=(1200, 1920), dis=15., mon_width_cm=52., mon_height_cm=32.) ind = Indicator(mon) uc = stim.UniformContrast(mon, ind, duration=10., color=-1.) ss = stim.StimulusSeparator(mon, ind) cs = stim.CombinedStimuli(mon, ind) cs.set_stimuli([ss, uc, ss]) ds = DisplaySequence(log_dir='C:/data') ds.set_stim(cs) ds.trigger_display()
# -*- coding: utf-8 -*- """ the minimum script to run 10 seconds of black screen """ import matplotlib.pyplot as plt import retinotopic_mapping.StimulusRoutines as stim from retinotopic_mapping.MonitorSetup import Monitor, Indicator from retinotopic_mapping.DisplayStimulus import DisplaySequence # Initialize Monitor object mon = Monitor(resolution=(1200, 1920), dis=15., mon_width_cm=52., mon_height_cm=32.) # Initialize Inicator object ind = Indicator(mon) # Initialize DisplaySequence object ds = DisplaySequence(log_dir='C:/data') # Initialize UniformContrast object uc = stim.UniformContrast(monitor=mon, indicator=ind, duration=10., color=-1.) # set uniform contrast stimulus into the DisplaySequence object ds.set_stim(uc) # start display ds.trigger_display() # plot distribution of frame duration plt.show()
import matplotlib.pyplot as plt
import retinotopic_mapping.StimulusRoutines as stim
from retinotopic_mapping.MonitorSetup import Monitor, Indicator
from retinotopic_mapping.DisplayStimulus import DisplaySequence
# Initialize Monitor object
mon = Monitor(resolution=(1200, 1920), dis=15., mon_width_cm=52., mon_height_cm=32.)
# Initialize Inicator object
ind = Indicator(mon)
# Initialize DisplaySequence object
ds = DisplaySequence(log_dir='C:/data')
# Initialize UniformContrast object
sl = stim.SinusoidalLuminance(monitor=mon, indicator=ind,
pregap_dur=2.,
midgap_dur=1.,
postgap_dur=3.,
max_level=0.5,
frequency=0.5, cycle_num=5,
start_phase=0.)
# set uniform contrast stimulus into the DisplaySequence object
ds.set_stim(sl)
# start display
ds.trigger_display()
# plot distribution of frame duration
plt.show()
# -*- coding: utf-8 -*-
"""
the minimum script to run 10 seconds of black screen
"""
import matplotlib.pyplot as plt
import retinotopic_mapping.StimulusRoutines as stim
from retinotopic_mapping.MonitorSetup import Monitor, Indicator
from retinotopic_mapping.DisplayStimulus import DisplaySequence
# Initialize Monitor object
mon = Monitor(resolution=(1200, 1920), dis=15., mon_width_cm=52., mon_height_cm=32.)
ind = Indicator(mon)
ds = DisplaySequence(log_dir='C:/data', is_by_index=True)
dgc = stim.DriftingGratingCircle(monitor=mon, indicator=ind, background=0.,
coordinate='degree', center=(10., 90.), sf_list=(0.02,),
tf_list=(4.0, 2.0), dire_list=(45.,), con_list=(0.8,), radius_list=(20.,),
block_dur=2., midgap_dur=1., iteration=3, pregap_dur=2.,
postgap_dur=3., is_blank_block=True)
ds.set_stim(dgc)
ds.trigger_display()
plt.show()
import retinotopic_mapping.StimulusRoutines as stim from retinotopic_mapping.MonitorSetup import Monitor, Indicator from retinotopic_mapping.DisplayStimulus import DisplaySequence # This script is meant to be used to test the synchronization between the stim. pc and the microscope, by flashing gray images at the sensor mon = Monitor(resolution=(1024, 1280), dis=20., mon_width_cm=33.28, mon_height_cm=26.624, refresh_rate=60.0) # creating a monitor object to display the indicator on (since we don' use it) mon_bin = Monitor(resolution=(0,0), dis=15., mon_width_cm=52., mon_height_cm=32.) ind = Indicator(mon_bin) uc = stim.UniformContrast(mon, ind, duration=1, color=0) repeated_stim = stim.CombinedStimuli(mon, ind, background=-1, pregap_dur=1, postgap_dur=0) repeated_stim.set_stimuli([uc]*10) # set the number of iterations here ds = DisplaySequence(log_dir="C:/data", is_by_index=True, display_screen=1, is_sync_pulse_LJ=True) ds.set_stim(repeated_stim) ds.trigger_display(fullscr=False)
mon_width_cm=52.,
mon_height_cm=32.)
mon.plot_map()
# Hiding indicator on a "throwaway" monitor
mon_temp = Monitor(resolution=(8, 8),
dis=15.,
mon_width_cm=10.,
mon_height_cm=10.)
ind = Indicator(mon_temp)
ds = DisplaySequence(log_dir='C:/data',
is_by_index=False,
is_save_sequence=True)
fc = stim.FlashingCircle(monitor=mon,
indicator=ind,
coordinate='degree',
center=(0., 60.),
radius=10.,
is_smooth_edge=False,
smooth_width_ratio=0.2,
smooth_func=stim.blur_cos,
color=1.,
flash_frame_num=60,
pregap_dur=2.,
postgap_dur=3.,
background=-1.,
midgap_dur=1.,
iteration=1)
ds.set_stim(fc)
ds.trigger_display()
plt.show()
# ================ Initialize the DisplaySequence object ==========================
ds = DisplaySequence(log_dir=ds_log_dir,
backupdir=ds_backupdir,
identifier=ds_identifier,
display_iter=ds_display_iter,
mouse_id=ds_mouse_id,
user_id=ds_user_id,
psychopy_mon=ds_psychopy_mon,
is_by_index=ds_is_by_index,
is_interpolate=ds_is_interpolate,
is_triggered=ds_is_triggered,
trigger_event=ds_trigger_event,
trigger_NI_dev=ds_trigger_NI_dev,
trigger_NI_port=ds_trigger_NI_port,
trigger_NI_line=ds_trigger_NI_line,
is_sync_pulse=ds_is_sync_pulse,
sync_pulse_NI_dev=ds_sync_pulse_NI_dev,
sync_pulse_NI_port=ds_sync_pulse_NI_port,
sync_pulse_NI_line=ds_sync_pulse_NI_line,
display_screen=ds_display_screen,
is_save_sequence=ds_is_save_sequence,
initial_background_color=ds_initial_background_color,
color_weights=ds_color_weights)
# =================================================================================
# =============================== display =========================================
ds.set_stim(ks)
ds.trigger_display()
plt.show()
# =================================================================================
mon_width_cm=2,
mon_height_cm=1.5,
refresh_rate=60.0)
# mon.plot_map()
# plt.show()
# creating a monitor object to display the indicator on (since we don' use it)
mon_bin = Monitor(resolution=(0, 0),
dis=15.,
mon_width_cm=52.,
mon_height_cm=32.)
ind = Indicator(mon_bin, width_cm=3, height_cm=3, is_sync=True, freq=1)
sparse_noise = stim.SparseNoise(mon,
ind,
grid_space=(0.5, 0.5),
probe_size=(0.5, 0.5),
probe_frame_num=6,
coordinate='linear',
midgap_dur=0.5,
iteration=5)
ds = DisplaySequence(log_dir="data",
is_by_index=True,
display_screen=1,
is_sync_pulse_LJ=False)
ds.set_stim(sparse_noise)
ds.trigger_display(fullscr=False)
# initialize LocallySparseNoise object
lsn = stim.LocallySparseNoise(monitor=mon, indicator=ind, pregap_dur=pregap_dur,
postgap_dur=postgap_dur, coordinate=coordinate,
background=background, subregion=lsn_subregion,
grid_space=lsn_grid_space, sign=lsn_sign,
probe_size=lsn_probe_size, probe_orientation=lsn_probe_orientation,
probe_frame_num=lsn_probe_frame_num, iteration=lsn_iteration,
is_include_edge=lsn_is_include_edge, min_distance=lsn_min_distance)
# initialize DisplaySequence object
ds = DisplaySequence(log_dir=ds_log_dir, backupdir=ds_backupdir,
identifier=ds_identifier, display_iter=ds_display_iter,
mouse_id=ds_mouse_id, user_id=ds_user_id,
psychopy_mon=ds_psychopy_mon, is_by_index=ds_is_by_index,
is_interpolate=ds_is_interpolate, is_triggered=ds_is_triggered,
trigger_event=ds_trigger_event, trigger_NI_dev=ds_trigger_NI_dev,
trigger_NI_port=ds_trigger_NI_port, trigger_NI_line=ds_trigger_NI_line,
is_sync_pulse=ds_is_sync_pulse, sync_pulse_NI_dev=ds_sync_pulse_NI_dev,
sync_pulse_NI_port=ds_sync_pulse_NI_port,
sync_pulse_NI_line=ds_sync_pulse_NI_line,
display_screen=ds_display_screen,
initial_background_color=ds_initial_background_color)
# display
# =============================== display =========================================
ds.set_stim(lsn)
ds.trigger_display()
plt.show()
# =================================================================================
flash_frame_num=30,
pregap_dur=2.,
postgap_dur=3.,
background=0.,
is_smooth_edge=True,
smooth_width_ratio=0.2,
smooth_func=stim.blur_cos)
ds = DisplaySequence(log_dir=r'C:\data',
backupdir=None,
is_triggered=False,
is_sync_pulse=False,
is_by_index=False,
display_iter=2,
display_screen=0,
is_interpolate=False)
ds.set_stim(flashing_circle)
ds.trigger_display()
#==============================================================================
#======================== Sparse Noise Stimulus ===============================
# sparse_noise = stim.SparseNoise(mon, ind, subregion=(-20.,20.,10.,150.), grid_space=(4., 4.),
# background=0., sign='ON-OFF', pregap_dur=0., postgap_dur=0.,
# coordinate='degree', probe_size=(4., 4.), probe_orientation=0.,
# probe_frame_num=6, iteration=2, is_include_edge = True)
# ds = DisplaySequence(log_dir=r'C:\data', backupdir=None, is_triggered=False,
# is_sync_pulse=False, display_iter=2, display_screen=1,
# is_by_index=True)
# ds.set_stim(sparse_noise)
# ds.trigger_display()
#==============================================================================
# -*- coding: utf-8 -*-
"""
the minimum script to run 10 seconds of black screen
"""
import matplotlib.pyplot as plt
import retinotopic_mapping.StimulusRoutines as stim
from retinotopic_mapping.MonitorSetup import Monitor, Indicator
from retinotopic_mapping.DisplayStimulus import DisplaySequence
# Initialize Monitor object
mon = Monitor(resolution=(768, 1360), dis=15., mon_width_cm=52., mon_height_cm=32.)
ind = Indicator(mon)
ds = DisplaySequence(log_dir='C:/data', is_by_index=True, is_save_sequence=True)
dgc = stim.DriftingGratingCircle(monitor=mon, indicator=ind, background=0.,
coordinate='degree', center=(10., 90.), sf_list=(0.02,),
tf_list=(4.0, 2.0), dire_list=(45.,), con_list=(0.8,), radius_list=(20.,),
block_dur=2., midgap_dur=1., iteration=3, pregap_dur=2.,
postgap_dur=2., is_blank_block=True)
ds.set_stim(dgc)
ds.trigger_display()
plt.show()