stimupy.papers.domijan2015

Stimuli from Domijan (2015) https://doi.org/10.3389/fnhum.2015.00093

This module reproduces all of the stimuli used by Domijan (2015) as they were provided to the model described in that paper. Since the stimulus sizes were only defined in pixel-space, there is some ambiguity with respect to the stimulus sizes in degrees visual angle. To help solve this ambiguity, we approximated a realistic resolution of the stimuli (ppd = 10) which is set as default value. However, because of the ambiguity, it is possible to change the stimulus sizes by providing at least two of the following: a shape (in pixels), a visual_size (in degrees) and/or a resolution (in ppd).

Each stimulus is provided by a separate function, a full list can be found as stimupy.papers.domijan2015.__all__

The output of each of these functions is a stimulus dictionary.

For a visual representation of all the stimuli and their mask, simply run this module as a script:

$ python stimuli/papers/domijan2015.py

__all__(list of str)

that are exported by this module when executing

>>> from stimupy.papers.domijan2015 import *

Type:

list of all stimulus-functions

References

Domijan, D. (2015).

A neurocomputational account of the role of contour facilitation in brightness perception. Frontiers in Human Neuroscience, 9, 93. https://doi.org/10.3389/fnhum.2015.00093

Functions

dungeon	Dungeon illusion, Domijan (2015) Fig 6A
cube	Cube illusion, Domijan (2015) Fig 6B
grating	Grating illusion, Domijan (2015) Fig 6C
rings	Ring patterns, Domijan (2015) Fig 7A
bullseye	Bullseye illusion, Domijan (2015) Fig 7B
simultaneous_brightness_contrast	Simultaneous brightness contrast, Domijan (2015) Fig 7C
white	White stimulus, Domijan (2015) Fig 8A
benary	Benarys cross, Domijan (2015) Fig 8B
todorovic	Todorovic stimulus, Domijan (2015) Fig 9A
checkerboard_contrast_contrast	Checkerboard contrast-contrast effect, Domijan (2015) Fig 9B
checkerboard	Classic checkerboard contrast with single-check targets, Domijan (2015) Fig 10A
checkerboard_extended	Checkerboard contrast with cross-like targets, Domijan (2015) Fig 10B
white_yazdanbakhsh	Yazdanbakhsh variation of White stimulus, Domijan (2015) Fig 11A
white_anderson	Anderson variation of White stimulus, Domijan (2015) Fig 11B
white_howe	Howe variation of White stimulus, Domijan (2015) Fig 11C

dungeon(visual_size=Visual_size(height=11.0, width=22.0), ppd=10, shape=(110, 220))

Dungeon illusion, Domijan (2015) Fig 6A

Parameters:

• visual_size (Sequence[Number, Number], Number, or None) – visual size [height, width] in degrees, default: (11, 22)

• ppd (Sequence[Number, Number], Number, or None) – pixels per degree [vertical, horizontal], default: 10

• shape (Sequence[Number, Number], Number, or None) – shape [height, width] in pixels, default: (110, 220)

Returns:

dict with the stimulus (key: “img”) and target mask (key: “target_mask”) and additional keys containing stimulus parameters

Return type:

dict[str, Any]

References

Domijan, D. (2015).

A neurocomputational account of the role of contour facilitation in brightness perception. Frontiers in Human Neuroscience, 9, 93. https://doi.org/10.3389/fnhum.2015.00093

cube(visual_size=Visual_size(height=10.0, width=20.0), ppd=10, shape=(100, 200))

Cube illusion, Domijan (2015) Fig 6B

Parameters:

• visual_size (Sequence[Number, Number], Number, or None) – visual size [height, width] in degrees, default: (10, 20)

• ppd (Sequence[Number, Number], Number, or None) – pixels per degree [vertical, horizontal], default: 10

• shape (Sequence[Number, Number], Number, or None) – shape [height, width] in pixels, default: (100, 200)

Returns:

dict with the stimulus (key: “img”) and target mask (key: “target_mask”) and additional keys containing stimulus parameters

Return type:

dict[str, Any]

References

Domijan, D. (2015).

A neurocomputational account of the role of contour facilitation in brightness perception. Frontiers in Human Neuroscience, 9, 93. https://doi.org/10.3389/fnhum.2015.00093

grating(visual_size=Visual_size(height=10.0, width=22.0), ppd=10, shape=(100, 220))

Grating illusion, Domijan (2015) Fig 6C

Parameters:

• visual_size (Sequence[Number, Number], Number, or None) – visual size [height, width] in degrees, default: (10, 22)

• ppd (Sequence[Number, Number], Number, or None) – pixels per degree [vertical, horizontal], default: 10

• shape (Sequence[Number, Number], Number, or None) – shape [height, width] in pixels, default: (100, 220)

Returns:

dict with the stimulus (key: “img”) and target mask (key: “target_mask”) and additional keys containing stimulus parameters

Return type:

dict[str, Any]

References

Domijan, D. (2015).

A neurocomputational account of the role of contour facilitation in brightness perception. Frontiers in Human Neuroscience, 9, 93. https://doi.org/10.3389/fnhum.2015.00093

rings(visual_size=Visual_size(height=10.0, width=20.0), ppd=10, shape=(100, 200))

Ring patterns, Domijan (2015) Fig 7A

Parameters:

• visual_size (Sequence[Number, Number], Number, or None) – visual size [height, width] in degrees, default: (10, 20)

• ppd (Sequence[Number, Number], Number, or None) – pixels per degree [vertical, horizontal], default: 10

• shape (Sequence[Number, Number], Number, or None) – shape [height, width] in pixels, default: (100, 200)

Returns:

dict with the stimulus (key: “img”) and target mask (key: “target_mask”) and additional keys containing stimulus parameters

Return type:

dict[str, Any]

References

Domijan, D. (2015).

A neurocomputational account of the role of contour facilitation in brightness perception. Frontiers in Human Neuroscience, 9, 93. https://doi.org/10.3389/fnhum.2015.00093

bullseye(visual_size=Visual_size(height=10.0, width=20.0), ppd=10, shape=(100, 200))

Bullseye illusion, Domijan (2015) Fig 7B

Parameters:

• visual_size (Sequence[Number, Number], Number, or None) – visual size [height, width] in degrees, default: (10, 20)

• ppd (Sequence[Number, Number], Number, or None) – pixels per degree [vertical, horizontal], default: 10

• shape (Sequence[Number, Number], Number, or None) – shape [height, width] in pixels, default: (100, 200)

Returns:

dict with the stimulus (key: “img”) and target mask (key: “target_mask”) and additional keys containing stimulus parameters

Return type:

dict[str, Any]

References

Domijan, D. (2015).

A neurocomputational account of the role of contour facilitation in brightness perception. Frontiers in Human Neuroscience, 9, 93. https://doi.org/10.3389/fnhum.2015.00093

simultaneous_brightness_contrast(visual_size=Visual_size(height=10.0, width=20.0), ppd=10, shape=(100, 200))

Simultaneous brightness contrast, Domijan (2015) Fig 7C

Parameters:

• visual_size (Sequence[Number, Number], Number, or None) – visual size [height, width] in degrees, default: (10, 20)

• ppd (Sequence[Number, Number], Number, or None) – pixels per degree [vertical, horizontal], default: 10

• shape (Sequence[Number, Number], Number, or None) – shape [height, width] in pixels, default: (100, 200)

Returns:

dict with the stimulus (key: “img”) and target mask (key: “target_mask”) and additional keys containing stimulus parameters

Return type:

dict[str, Any]

References

Domijan, D. (2015).

A neurocomputational account of the role of contour facilitation in brightness perception. Frontiers in Human Neuroscience, 9, 93. https://doi.org/10.3389/fnhum.2015.00093

white(visual_size=Visual_size(height=8.0, width=8.0), ppd=10, pad=True, shape=(80, 80))

White stimulus, Domijan (2015) Fig 8A

Parameters:

• visual_size (Sequence[Number, Number], Number, or None) – visual size [height, width] in degrees, default: (8, 8)

• ppd (Sequence[Number, Number], Number, or None) – pixels per degree [vertical, horizontal], default: 10

• shape (Sequence[Number, Number], Number, or None) – shape [height, width] in pixels, default: (80, 80)

• pad (bool) – If True, include original padding (default: False)

Returns:

dict with the stimulus (key: “img”) and target mask (key: “target_mask”) and additional keys containing stimulus parameters

Return type:

dict[str, Any]

References

Domijan, D. (2015).

A neurocomputational account of the role of contour facilitation in brightness perception. Frontiers in Human Neuroscience, 9, 93. https://doi.org/10.3389/fnhum.2015.00093

benary(visual_size=Visual_size(height=10.0, width=10.0), ppd=10, shape=(100, 100))

Benarys cross, Domijan (2015) Fig 8B

Parameters:

• visual_size (Sequence[Number, Number], Number, or None) – visual size [height, width] in degrees, default: (10, 10)

• ppd (Sequence[Number, Number], Number, or None) – pixels per degree [vertical, horizontal], default: 10

• shape (Sequence[Number, Number], Number, or None) – shape [height, width] in pixels, default: (100, 100)

Returns:

dict with the stimulus (key: “img”) and target mask (key: “target_mask”) and additional keys containing stimulus parameters

Return type:

dict[str, Any]

References

Domijan, D. (2015).

A neurocomputational account of the role of contour facilitation in brightness perception. Frontiers in Human Neuroscience, 9, 93. https://doi.org/10.3389/fnhum.2015.00093

todorovic(visual_size=Visual_size(height=10.0, width=20.0), ppd=10, shape=(100, 200))

Todorovic stimulus, Domijan (2015) Fig 9A

Parameters:

• visual_size (Sequence[Number, Number], Number, or None) – visual size [height, width] in degrees, default: (10, 20)

• ppd (Sequence[Number, Number], Number, or None) – pixels per degree [vertical, horizontal], default: 10

• shape (Sequence[Number, Number], Number, or None) – shape [height, width] in pixels, default: (100, 200)

Returns:

dict with the stimulus (key: “img”) and target mask (key: “target_mask”) and additional keys containing stimulus parameters

Return type:

dict[str, Any]

References

Domijan, D. (2015).

A neurocomputational account of the role of contour facilitation in brightness perception. Frontiers in Human Neuroscience, 9, 93. https://doi.org/10.3389/fnhum.2015.00093

checkerboard_contrast_contrast(visual_size=Visual_size(height=8.0, width=16.0), ppd=10, shape=(80, 160), pad=True)

Checkerboard contrast-contrast effect, Domijan (2015) Fig 9B

Parameters:

• visual_size (Sequence[Number, Number], Number, or None) – visual size [height, width] in degrees, default: (8, 16)

• ppd (Sequence[Number, Number], Number, or None) – pixels per degree [vertical, horizontal], default: 10

• shape (Sequence[Number, Number], Number, or None) – shape [height, width] in pixels, default: (80, 160)

• pad (bool) – If True, include original padding (default: False)

Returns:

dict with the stimulus (key: “img”) and target mask (key: “target_mask”) and additional keys containing stimulus parameters

Return type:

dict[str, Any]

References

Domijan, D. (2015).

A neurocomputational account of the role of contour facilitation in brightness perception. Frontiers in Human Neuroscience, 9, 93. https://doi.org/10.3389/fnhum.2015.00093

checkerboard(visual_size=Visual_size(height=8.0, width=8.0), ppd=10, shape=(80, 80), pad=True)

Classic checkerboard contrast with single-check targets, Domijan (2015) Fig 10A

Parameters:

• visual_size (Sequence[Number, Number], Number, or None) – visual size [height, width] in degrees, default: (8, 8)

• ppd (Sequence[Number, Number], Number, or None) – pixels per degree [vertical, horizontal], default: 10

• shape (Sequence[Number, Number], Number, or None) – shape [height, width] in pixels, default: (80, 80)

• pad (bool) – If True, include original padding (default: False)

Returns:

dict with the stimulus (key: “img”) and target mask (key: “target_mask”) and additional keys containing stimulus parameters

Return type:

dict[str, Any]

References

Domijan, D. (2015).

A neurocomputational account of the role of contour facilitation in brightness perception. Frontiers in Human Neuroscience, 9, 93. https://doi.org/10.3389/fnhum.2015.00093

checkerboard_extended(visual_size=Visual_size(height=8.0, width=8.0), ppd=10, shape=(80, 80), pad=True)

Checkerboard contrast with cross-like targets, Domijan (2015) Fig 10B

Parameters:

• visual_size (Sequence[Number, Number], Number, or None) – visual size [height, width] in degrees, default: (8, 8)

• ppd (Sequence[Number, Number], Number, or None) – pixels per degree [vertical, horizontal], default: 10

• shape (Sequence[Number, Number], Number, or None) – shape [height, width] in pixels, default: (80, 80)

• pad (bool) – If True, include original padding (default: False)

Returns:

dict with the stimulus (key: “img”) and target mask (key: “target_mask”) and additional keys containing stimulus parameters

Return type:

dict[str, Any]

References

Domijan, D. (2015).

A neurocomputational account of the role of contour facilitation in brightness perception. Frontiers in Human Neuroscience, 9, 93. https://doi.org/10.3389/fnhum.2015.00093

white_yazdanbakhsh(visual_size=Visual_size(height=8.0, width=8.0), ppd=10, shape=(80, 80), pad=True)

Yazdanbakhsh variation of White stimulus, Domijan (2015) Fig 11A

Parameters:

• visual_size (Sequence[Number, Number], Number, or None) – visual size [height, width] in degrees, default: (8, 8)

• ppd (Sequence[Number, Number], Number, or None) – pixels per degree [vertical, horizontal], default: 10

• shape (Sequence[Number, Number], Number, or None) – shape [height, width] in pixels, default: (80, 80)

• pad (bool) – If True, include original padding (default: False)

Returns:

dict with the stimulus (key: “img”) and target mask (key: “target_mask”) and additional keys containing stimulus parameters

Return type:

dict[str, Any]

References

Domijan, D. (2015).

A neurocomputational account of the role of contour facilitation in brightness perception. Frontiers in Human Neuroscience, 9, 93. https://doi.org/10.3389/fnhum.2015.00093

Yazdanbakhsh, A., Arabzadeh, E., Babadi, B., and Fazl, A. (2002).

Munker-White-like illusions without T-junctions. Perception 31, 711-715. https://doi.org/10.1068/p3348

white_anderson(visual_size=Visual_size(height=10.0, width=10.0), ppd=10, shape=(100, 100), pad=True)

Anderson variation of White stimulus, Domijan (2015) Fig 11B

Parameters:

• visual_size (Sequence[Number, Number], Number, or None) – visual size [height, width] in degrees, default: (10, 10)

• ppd (Sequence[Number, Number], Number, or None) – pixels per degree [vertical, horizontal], default: 10

• shape (Sequence[Number, Number], Number, or None) – shape [height, width] in pixels, default: (100, 100)

• pad (bool) – If True, include original padding (default: False)

Returns:

dict with the stimulus (key: “img”) and target mask (key: “target_mask”) and additional keys containing stimulus parameters

Return type:

dict[str, Any]

References

Anderson, B. L. (2001).

Contrasting theories of White’s illusion. Perception, 30, 1499-1501.

Blakeslee, B., Pasieka, W., & McCourt, M. E. (2005).

Oriented multiscale spatial filtering and contrast normalization: a parsimonious model of brightness induction in a continuum of stimuli including White, Howe and simultaneous brightness contrast. Vision Research, 45, 607-615.

Domijan, D. (2015).

A neurocomputational account of the role of contour facilitation in brightness perception. Frontiers in Human Neuroscience, 9, 93. https://doi.org/10.3389/fnhum.2015.00093

white_howe(visual_size=Visual_size(height=10.0, width=10.0), ppd=10, shape=(100, 100), pad=True)

Howe variation of White stimulus, Domijan (2015) Fig 11C

Parameters:

• visual_size (Sequence[Number, Number], Number, or None) – visual size [height, width] in degrees, default: (10, 10)

• ppd (Sequence[Number, Number], Number, or None) – pixels per degree [vertical, horizontal], default: 10

• shape (Sequence[Number, Number], Number, or None) – shape [height, width] in pixels, default: (100, 100)

• pad (bool) – If True, include original padding (default: False)

Returns:

dict with the stimulus (key: “img”) and target mask (key: “target_mask”) and additional keys containing stimulus parameters

Return type:

dict[str, Any]

References

Blakeslee, B., Pasieka, W., & McCourt, M. E. (2005).

Oriented multiscale spatial filtering and contrast normalization: a parsimonious model of brightness induction in a continuum of stimuli including White, Howe and simultaneous brightness contrast. Vision Research, 45, 607-615.

Domijan, D. (2015).

A neurocomputational account of the role of contour facilitation in brightness perception. Frontiers in Human Neuroscience, 9, 93. https://doi.org/10.3389/fnhum.2015.00093

Howe, P. D. L. (2001).

A comment on the Anderson (1997), the Todorovic (1997), and the Ross and Pessoa (2000) explanations of White’s effect. Perception, 30, 1023-1026