Perceptual classification images from vernier acuity masked by noise

A. J. Ahumada Jr. (1996) Perception, Vol. 25, ECVP'96 Abstracts.

Abstract

Letting external noise rather than internal noise limit discrimination performance allows information to be extracted about the observer's stimulus classification rule. A perceptual classification image is the correlation over trials between the noise amplitude at a spatial location and the observer's responses. If, for example, the observer followed the rule of the ideal observer, the response correlation image would be an estimate of the ideal observer filter, the difference between the two unmasked images being discriminated.

Perceptual classification images were estimated for a vernier discrimination task. The display screen had 48 pixels per degree horizontally and vertically. The no-offset image had a dark horizontal line of 4 pixels, a 1 pixel space, and 4 more dark pixels. Classification images were based on 1600 discrimination trials with the line contrast adjusted to keep the error rate near 25 percent. In the offset image, the second line was one pixel higher. Unlike the ideal observer filter (a horizontal dipole), the observer perceptual classification images are strongly oriented. Fourier transforms of the classification images had a peak amplitude near one cycle per degree and an orientation near 25 degrees. The spatial spread is much more than image blur predicts, and probably indicates the spatial position uncertainty in the task.

Slides

Slide 1. Summary

In a discrimination task, adding external noise and then averaging the noises separately, by the stimulus and response, makes images that are closely related to the observer's stimulus classification rule.

Slide 2. Standard Approach

Vary stimulus conditions to see whether performance is consistent with possible classification rules.

Problems

1) Observer can change rules with changes in conditions.

2) Levels of performance are dependent on factors other than the classification rule.

Slide 3. Experiment 1

Background

Luminance: 26.5 cd/m^2
Area: 13.5 deg x 10.1 deg (640 x 480 pixels)

Uniform Random Noise

Peak Contrast: + or - 0.25
Area: 2.7 deg x 2.7 deg (128 x 128 pixels)

Vernier Lines

Width: 5.06 min (4 pixels)
Height: 1.26 min (1 pixel)
Gap: 1.26 min (1 pixel)
Offset: 1.26 min (1 pixel)
Contrast: -0.23 (ND) -0.38 to -0.44 (AA) (adjusted for $approx$ 75% correct)
Duration: 1.0 sec (ND) 0.5 sec (AA)

Slide 4. Vernier Stimulus (GIF) (PostScript)

Diagram of vernier stimulus in experiment 1.

Slide 5. Response Segregated Noises (GIF) (PostScript)

Average response segregated images for observer ND in experiment 1. Noises for each of the 4 types of trials have been averaged separately depending on the stimulus (S0=no offset, S1=offset) and the response (R0=no offset, R1=offset). The polarity of the R0 images has been reversed so that if increased luminance at a particular location increases the number of R1 responses, both the R1 and the R0 image will be brighter at that location.

Slide 6. Classification Images (GIF) (PostScript)

Response classification images for observer ND in experiment 1.
Top: Average of 4 images of slide 5.
Middle: Top image smoothed with weights of [0.7 1.0 0.7] in both horizontal and vertical directions.
Bottom: Smoothed image categorized by dividing by twice the standard deviation of the smoothed random noise and truncating towards zero.

Slide 7. Classification Images (GIF) (PostScript)

Response classification images for observer AA in experiment 1.

Slide 8. Experiment 2

(smaller vernier offset, barely perceptible noise)

Background

Luminance: 41.1 cd/m^2
Area: 6.4 deg x 4.8 deg (800 x 600 pixels)

Uniform Random Noise

Peak Contrast: + or - 0.125
Area: 1.0 deg x 1.0 deg (128 x 128 pixels)

Vernier Lines

Width: 2.4 min (4 pixels)
Height: 0.48 min (1 pixel)
Gap: 1.44 min (3 pixels)
Offset: 0.48 min (1 pixel)
Contrast: -0.74
Duration: 0.5, 1.0 sec

Slide 9. Classification Images (GIF) (PostScript)

Response classification images for observer BLB in experiment 2.

Slide 10. Classification Images (GIF) (PostScript)

Response classification images for observer AA in experiment 2.

Slide 11. Conclusions

Observer classification images were obtained from as few as 1600 discrimination trials.

Noise amplitudes some distance from the lines in both horizontal and vertical directions made significant contributions to the responses.

Unlike the ideal observer, the observers used information near the fixed line almost as much as that near the variable line.

The classification images are not consistent with the discrimination being based on the output of a single Gabor-like filter.