Attention

To run locally, the code for these interactive demos requires a Jupyter Notebook environment, and the Panel extension.

Gaussian edge

stimupy.components.edges.gaussian()

import param

class GaussianParams(param.Parameterized):
    # Image size parameters
    height = param.Integer(default=10, bounds=(1, 20), doc="Height in degrees")
    width = param.Integer(default=10, bounds=(1, 20), doc="Width in degrees")
    ppd = param.Integer(default=20, bounds=(1, 40), doc="Pixels per degree")
    
    # Gaussian parameters
    sigma = param.Number(default=2.0, bounds=(0, 4), step=0.1, doc="Sigma")
    rotation = param.Integer(default=0, bounds=(0, 360), doc="Rotation in degrees")
    
    # Intensity parameters
    intensity1 = param.Number(default=1.0, bounds=(0, 1), step=0.01, doc="Intensity 1")
    intensity2 = param.Number(default=0.0, bounds=(0, 1), step=0.01, doc="Intensity 2")
    intensity_background = param.Number(default=0.5, bounds=(0, 1), step=0.01, doc="Background intensity")
    
    # Additional parameters
    add_mask = param.Selector(default=None, objects=[None, "gaussian_mask", "edge_mask"], doc="Add mask")

    def get_stimulus_params(self):
        return {
            "visual_size": (self.height, self.width),
            "ppd": self.ppd,
            "sigma": self.sigma,
            "rotation": self.rotation,
            "intensity_edges": (self.intensity1, self.intensity2),
            "intensity_background": self.intensity_background,
        }

from stimupy.components.edges import gaussian
from stimupy._docs.display_stimulus import InteractiveStimDisplay

# Create and display the interactive gaussian edge
gaussian_params = GaussianParams()
disp = InteractiveStimDisplay(gaussian, gaussian_params)
disp.layout