4.3 Article

Perceptual learning in contrast discrimination and the (minimal) role of context

Journal

JOURNAL OF VISION
Volume 4, Issue 3, Pages 169-182

Publisher

ASSOC RESEARCH VISION OPHTHALMOLOGY INC
DOI: 10.1167/4.3.4

Keywords

perceptual learning; contrast discrimination; context; roving

Categories

Funding

  1. NATIONAL EYE INSTITUTE [R01EY001728, R01EY004776] Funding Source: NIH RePORTER
  2. NEI NIH HHS [R01EY04776, R01EY01728] Funding Source: Medline

Ask authors/readers for more resources

Unlike most visual tasks, contrast discrimination has been reported to be unchanged by practice (Dorais Sagi, 1997; Adini, Sagi, & Tsodyks, 2002), unless practice is undertaken in the presence of flankers (context-enabled learning, Adini et a[., 2002). Here we show that under experimental conditions nearly identical to those in the no-flanker practice experiment of Adini et al. (2002), practice significantly improved contrast discrimination. Moreover, in a separate experiment, we found that practice without flankers can improve contrast discrimination to a level only reached with flankers in Adini et al. (2002), but further practice with flankers produces no further improvement of contrast discrimination. These results call into question whether the context-enabled learning proposed by Adini et al. (2002) is different from regular contrast learning without flankers. In separate experiments, we found that contrast learning is tuned to spatial frequency, orientation, retinal location, and, unexpectedly, contrast. We also replicated Sagi, Adini, Tsodyks, and Wilkonsky's (2003) more recent finding that no regular contrast learning occurs if reference contrasts are randomly interleaved (contrast roving), and further demonstrated that flankers have no effect on contrast learning under contrast roving, another piece of evidence equating context-enabled learning to regular contrast learning. The contrast specificity of learning and the lack of learning under contrast roving provide new evidence in favor of a multiple contrast-selective channels model of contrast discrimination, and against saturating transducer models and multiplicative noise models.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.3
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available