nmningmei

import numpy as np
from matplotlib import pyplot as plt
from scipy.spatial import distance

# create data the center at zero, 36 words by 100 voxels
zero_mean_data = np.random.rand(36,100)
zero_mean_data = zero_mean_data - zero_mean_data.mean(1).reshape(-1,1) # so each row has mean zero

# create data that is not center at zero, 36 words by 100 voxels
sim_data = zero_mean_data.copy()

nmningmei

# Generate noise frames
# dependencies: psychopy, python-numpy, python-pyglet
from numpy import random 
from psychopy import visual

# create a window
win = visual.Window([800, 600], monitor="testMonitor", units="deg")

maskDuration = 180 # Duration of mask in frames
visualNoiseSize = 512 # Dimension in pixels of visual noise. Must be a power of 2