Tip

to get interactivity

Attention

To run locally, the code for these interactive demos requires a Jupyter Notebook environment, and the Jupyter Widgets extension (ipywidgets).

Noises - Naturals

stimupy.noises.naturals

One over f

stimupy.noises.naturals.one_over_f()

import ipywidgets as iw
from stimupy.utils import plot_stim
from stimupy.noises.naturals import one_over_f

# Define widgets
w_height = iw.IntSlider(value=10, min=1, max=20, description="height [deg]")
w_width = iw.IntSlider(value=10, min=1, max=20, description="width [deg]")
w_ppd = iw.IntSlider(value=20, min=1, max=40, description="ppd")

w_exp = iw.FloatSlider(value=1., min=0., max=5, description="noise exponent")

w_int1 = iw.FloatSlider(value=0., min=0, max=1, description="intensity1")
w_int2 = iw.FloatSlider(value=1., min=0, max=1, description="intensity2")

w_pseudo = iw.ToggleButton(value=False, disabled=False, description="pseudo-noise")

# Layout
b_im_size = iw.HBox([w_height, w_width, w_ppd])
b_intensities = iw.HBox([w_int1, w_int2])
ui = iw.VBox([b_im_size, w_exp, b_intensities, w_pseudo])

# Function for showing stim
def show_one_over_f(
    height=None,
    width=None,
    ppd=None,
    exponent=None,
    intensity1=None,
    intensity2=None,
    pseudo_noise=False,
):
    try:
        stim = one_over_f(
            visual_size=(height, width),
            ppd=ppd,
            intensity_range=(intensity1, intensity2),
            exponent=exponent,
            pseudo_noise=pseudo_noise,
        )
        plot_stim(stim, mask=False)
    except Exception as e:
        raise ValueError(f"Invalid parameter combination: {e}") from None

# Set interactivity
out = iw.interactive_output(
    show_one_over_f,
    {
        "height": w_height,
        "width": w_width,
        "ppd": w_ppd,
        "intensity1": w_int1,
        "intensity2": w_int2,
        "exponent": w_exp,
        "pseudo_noise": w_pseudo,
    },
)

# Show
display(ui, out)

Pink

stimupy.noises.naturals.pink()

import ipywidgets as iw
from stimupy.utils import plot_stim
from stimupy.noises.naturals import pink

# Define widgets
w_height = iw.IntSlider(value=10, min=1, max=20, description="height [deg]")
w_width = iw.IntSlider(value=10, min=1, max=20, description="width [deg]")
w_ppd = iw.IntSlider(value=20, min=1, max=40, description="ppd")

w_int1 = iw.FloatSlider(value=0., min=0, max=1, description="intensity1")
w_int2 = iw.FloatSlider(value=1., min=0, max=1, description="intensity2")

w_pseudo = iw.ToggleButton(value=False, disabled=False, description="pseudo-noise")

# Layout
b_im_size = iw.HBox([w_height, w_width, w_ppd])
b_intensities = iw.HBox([w_int1, w_int2])
ui = iw.VBox([b_im_size, b_intensities, w_pseudo])

# Function for showing stim
def show_pink(
    height=None,
    width=None,
    ppd=None,
    intensity1=None,
    intensity2=None,
    pseudo_noise=False,
):
    try:
        stim = pink(
            visual_size=(height, width),
            ppd=ppd,
            intensity_range=(intensity1, intensity2),
            pseudo_noise=pseudo_noise,
        )
        plot_stim(stim, mask=False)
    except Exception as e:
        raise ValueError(f"Invalid parameter combination: {e}") from None

# Set interactivity
out = iw.interactive_output(
    show_pink,
    {
        "height": w_height,
        "width": w_width,
        "ppd": w_ppd,
        "intensity1": w_int1,
        "intensity2": w_int2,
        "pseudo_noise": w_pseudo,
    },
)

# Show
display(ui, out)

Brown

stimupy.noises.naturals.brown()

import ipywidgets as iw
from stimupy.utils import plot_stim
from stimupy.noises.naturals import brown

# Define widgets
w_height = iw.IntSlider(value=10, min=1, max=20, description="height [deg]")
w_width = iw.IntSlider(value=10, min=1, max=20, description="width [deg]")
w_ppd = iw.IntSlider(value=20, min=1, max=40, description="ppd")

w_int1 = iw.FloatSlider(value=0., min=0, max=1, description="intensity1")
w_int2 = iw.FloatSlider(value=1., min=0, max=1, description="intensity2")

w_pseudo = iw.ToggleButton(value=False, disabled=False, description="pseudo-noise")

# Layout
b_im_size = iw.HBox([w_height, w_width, w_ppd])
b_intensities = iw.HBox([w_int1, w_int2])
ui = iw.VBox([b_im_size, b_intensities, w_pseudo])

# Function for showing stim
def show_brown(
    height=None,
    width=None,
    ppd=None,
    intensity1=None,
    intensity2=None,
    pseudo_noise=False,
):
    try:
        stim = brown(
            visual_size=(height, width),
            ppd=ppd,
            intensity_range=(intensity1, intensity2),
            pseudo_noise=pseudo_noise,
        )
        plot_stim(stim, mask=False)
    except Exception as e:
        raise ValueError(f"Invalid parameter combination: {e}") from None

# Set interactivity
out = iw.interactive_output(
    show_brown,
    {
        "height": w_height,
        "width": w_width,
        "ppd": w_ppd,
        "intensity1": w_int1,
        "intensity2": w_int2,
        "pseudo_noise": w_pseudo,
    },
)

# Show
display(ui, out)