binary#
You can find an interactive version of this example here
- stimupy.noises.binaries.binary(visual_size=None, ppd=None, shape=None, intensity_range=(0, 1), rng=None)#
Draw binary noise texture
- Parameters:
visual_size (Sequence[Number, Number], Number, or None (default)) – visual size [height, width] of grating, in degrees
ppd (Sequence[Number, Number], Number, or None (default)) – pixels per degree [vertical, horizontal]
shape (Sequence[Number, Number], Number, or None (default)) – shape [height, width] of grating, in pixels
intensity_range (Sequence[Number, Number]) – minimum and maximum intensity value; default: (0, 1). be aware that not every instance has mean=(max-min)/2.
rng (numpy.random.Generator, optional) – Random number generator to use. If None, a new default_rng is created. By passing in a custom rng, you can control the randomness of the noise generation, e.g., make it replicable.
- Returns:
dict with the stimulus (key: “img”), and additional keys containing stimulus parameters
- Return type: