Difference Limen as a Function of Retinal Eccentricity and Background Brightness*

1958 ◽  
Vol 48 (10) ◽  
pp. 731 ◽  
Author(s):  
Patricia McBride Blough
Keyword(s):  
Difference Limen ◽  
Retinal Eccentricity ◽  
Background Brightness

The Intensive Difference Limen in Audition

1941 ◽  
Vol 12 (4) ◽  
pp. 517-525 ◽  
Author(s):  
Forrest L. Dimmick ◽  
Ruth M. Olson
Keyword(s):  
Difference Limen

scholarly journals Study on the Difference Limen for Flicker Values

1992 ◽  
Vol 28 (Supplement) ◽  
pp. 370-371
Author(s):  
Masaharu TAKEDA ◽  
Kaoru SUZUKI ◽  
Yoshio HAYASHI
Keyword(s):  
Difference Limen ◽  
The Difference

scholarly journals ERG signals driven by chromatic and luminance processing: Variation as a function of retinal eccentricity

2009 ◽  
Vol 9 (14) ◽  
pp. 65-65
Author(s):  
D. J. McKeefry ◽  
N. Parry ◽  
N. Challa ◽  
J. Kremers ◽  
I. Murray ◽  
...  
Keyword(s):  
Retinal Eccentricity

scholarly journals Image content is more important than Bouma’s Law for scene metamers

eLife ◽  
2019 ◽  
Vol 8 ◽  
Author(s):  
Thomas SA Wallis ◽  
Christina M Funke ◽  
Alexander S Ecker ◽  
Leon A Gatys ◽  
Felix A Wichmann ◽  
...  
Keyword(s):  
Perceptual Experience ◽  
Receptive Fields ◽  
Natural Images ◽  
Retinal Eccentricity ◽  
High Fidelity ◽  
Prior Work ◽  
Visual Stream ◽  
Area V2 ◽  
Ventral Visual Stream ◽  
Stream Model

We subjectively perceive our visual field with high fidelity, yet peripheral distortions can go unnoticed and peripheral objects can be difficult to identify (crowding). Prior work showed that humans could not discriminate images synthesised to match the responses of a mid-level ventral visual stream model when information was averaged in receptive fields with a scaling of about half their retinal eccentricity. This result implicated ventral visual area V2, approximated ‘Bouma’s Law’ of crowding, and has subsequently been interpreted as a link between crowding zones, receptive field scaling, and our perceptual experience. However, this experiment never assessed natural images. We find that humans can easily discriminate real and model-generated images at V2 scaling, requiring scales at least as small as V1 receptive fields to generate metamers. We speculate that explaining why scenes look as they do may require incorporating segmentation and global organisational constraints in addition to local pooling.

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