Literature DB >> 15669907

Perceptual learning in contrast discrimination: the effect of contrast uncertainty.

Yael Adini1, Amos Wilkonsky, Roni Haspel, Misha Tsodyks, Dov Sagi.   

Abstract

Performance in perceptual tasks improves with repetition (perceptual learning), eventually reaching a saturation level. Typically, when perceptual learning effects are studied, stimulus parameters are kept constant throughout the training and during the pre- and post-training tests. Here we investigate whether learning by repetition transfers to testing conditions in which the practiced stimuli are randomly interleaved during the post-training session. We studied practice effects with a contrast discrimination task, employing a number of training methods: (i) practice with a single, fixed pedestal (base-contrast), (ii) practice with several pedestals, and (iii) practice with several pedestals that included a spatial context. Pre- and post-training tests were carried out with the base contrast randomized across trials, under conditions of contrast uncertainty. The results showed that learning had taken place with the fixed pedestal method (i) and with the context method (iii), but only the latter survived the uncertainty test. In addition, we were able to identify a very fast learning phase in contrast discrimination that improved performance under uncertainty. We contend that learned tasks that do not pass the uncertainty test involve modification of decision strategies that require exact knowledge of the stimulus.

Mesh:

Year:  2004        PMID: 15669907     DOI: 10.1167/4.12.2

Source DB:  PubMed          Journal:  J Vis        ISSN: 1534-7362            Impact factor:   2.240


  29 in total

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Authors:  Raphael Hilgenstock; Thomas Weiss; Ralph Huonker; Otto W Witte
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Review 2.  Neural networks and perceptual learning.

Authors:  Misha Tsodyks; Charles Gilbert
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Review 3.  Reverse hierarchies and sensory learning.

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4.  Learning one task by interleaving practice with another task.

Authors:  Sarit F A Szpiro; Beverly A Wright; Marisa Carrasco
Journal:  Vision Res       Date:  2014-06-21       Impact factor: 1.886

5.  Broad-based visual benefits from training with an integrated perceptual-learning video game.

Authors:  Jenni Deveau; Gary Lovcik; Aaron R Seitz
Journal:  Vision Res       Date:  2014-01-06       Impact factor: 1.886

6.  Interference and feature specificity in visual perceptual learning.

Authors:  Yuko Yotsumoto; Li-Hung Chang; Takeo Watanabe; Yuka Sasaki
Journal:  Vision Res       Date:  2009-08-06       Impact factor: 1.886

7.  Adult visual cortical plasticity.

Authors:  Charles D Gilbert; Wu Li
Journal:  Neuron       Date:  2012-07-26       Impact factor: 17.173

8.  Perceptual learning: functions, mechanisms, and applications.

Authors:  Zhong-Lin Lu; Cong Yu; Takeo Watanabe; Dov Sagi; Dennis Levi
Journal:  Vision Res       Date:  2009-10       Impact factor: 1.886

9.  Is improved contrast sensitivity a natural consequence of visual training?

Authors:  Aaron Levi; Danielle Shaked; Duje Tadin; Krystel R Huxlin
Journal:  J Vis       Date:  2015       Impact factor: 2.240

10.  Self-motion perception training: thresholds improve in the light but not in the dark.

Authors:  Matthias Hartmann; Sarah Furrer; Michael H Herzog; Daniel M Merfeld; Fred W Mast
Journal:  Exp Brain Res       Date:  2013-02-08       Impact factor: 1.972

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