2010
DOI: 10.1016/j.visres.2010.06.016
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Specificity of perceptual learning increases with increased training

Abstract: Perceptual learning often shows substantial and long-lasting changes in the ability to classify relevant perceptual stimuli due to practice. Specificity to trained stimuli and tasks is a key characteristic of visual perceptual learning, but little is known about whether specificity depends upon the extent of initial training. Using an orientation discrimination task, we demonstrate that specificity follows after extensive training, while the earliest stages of perceptual learning exhibit substantial transfer t… Show more

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Cited by 113 publications
(131 citation statements)
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“…Elaborated power functions, c τ ðtÞ = λ ðt+t X Þ −ρ + α, provide an excellent account of threshold improvement for aggregate data (15,16,19), where c τ ðtÞ is the contrast threshold at practice block t, α is the asymptotic (minimum) threshold after extensive practice, λ is the initial incremental threshold above α, ρ is the learning rate, and transfer of prior experience is summarized by transfer factor t X , which is set to 0 for initial training (see ref. 15 for a description).…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Elaborated power functions, c τ ðtÞ = λ ðt+t X Þ −ρ + α, provide an excellent account of threshold improvement for aggregate data (15,16,19), where c τ ðtÞ is the contrast threshold at practice block t, α is the asymptotic (minimum) threshold after extensive practice, λ is the initial incremental threshold above α, ρ is the learning rate, and transfer of prior experience is summarized by transfer factor t X , which is set to 0 for initial training (see ref. 15 for a description).…”
Section: Resultsmentioning
confidence: 99%
“…The computational IRT provides quantitative predictions for learning and transfer specialized for each experimental protocol. A computational model is necessary to generate predictions for learning and transfer that reflect the stimuli and judgment (15), the extent of initial training (16), and other aspects of each experimental protocol.…”
mentioning
confidence: 99%
“…Learning transfer to a more complex signal in noise task was surprising given that stimulus specificity has been repeatedly associated with sensory learning since the seminal report of Fiorentini and Berardi (42) over 3 decades ago. However, recent studies have cast doubt on the inviolate specificity of perceptual learning, suggesting that the particular training methodology may influence the degree of learning transfer (43)(44)(45)(46)(47)(48). For example, experience with action video games has been associated with accelerated learning of nonnative phonetic contrasts (49) and enhanced visual abilities on tasks ranging from useful field of view to contrast sensitivity (20,21,23,24).…”
Section: Discussionmentioning
confidence: 99%
“…Recent studies, however, have shown considerable transfer of learning across stimulus parameters (Jeter et al, 2010;Zhang et al, 2010). Because the outcome of transfer experiments has led to different views concerning the neuronal mechanism underlying perceptual learning, we thought it important to measure both psychophysical and neuronal transfer in our experimental setup.…”
Section: Transfer Across Visual Fieldmentioning
confidence: 99%
“…Learning is often restricted to the exact stimuli and is often visual-fieldspecific (Fiorentini and Berardi, 1980;Schoups et al, 1995; but see Jeter et al, 2010;Zhang et al, 2010). This has led to the view that learning occurs in early visual areas containing neurons with small receptive fields (Karni and Sagi, 1991).…”
Section: Introductionmentioning
confidence: 99%