Perceptual learning is learning better perception skills such as differentiating two musical tones from one another or categorizations of spatial and temporal patterns relevant to real-world expertise.
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Perceptual learning is learning better perception skills such as differentiating two musical tones from one another or categorizations of spatial and temporal patterns relevant to real-world expertise.
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Perceptual learning is defined as a "change in perception as a product of experience, and has reviewed evidence demonstrating that discrimination between otherwise confuse able stimuli is improved by exposure".
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Tactile perceptual learning has been demonstrated on spatial acuity tasks such as tactile grating orientation discrimination, and on vibrotactile perceptual tasks such as frequency discrimination; tactile learning on these tasks has been found to transfer from trained to untrained fingers.
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Perceptual learning is prevalent and occurs continuously in everyday life.
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Perceptual learning is a more in-depth relationship between experience and perception.
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Perceptual learning's can tell what cry is because they are hungry, need to be changed, etc.
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Perceptual learning noted examples and emphasized the importance of perceptual learning for expertise.
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In 1918, Clark L Hull, a noted learning theorist, trained human participants to learn to categorize deformed Chinese characters into categories.
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Perceptual learning's established the study of perceptual learning as an inquiry into the behavior and mechanism of perceptual change.
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Perceptual learning's view was extreme, yet its gist was largely supported by subsequent behavioral and physiological studies.
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Studies of such task-irrelevant perceptual learning show that the degree of TIPL is similar to that found through direct training procedures.
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Perceptual learning occurs not only within the first training session but between sessions.
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Research on basic sensory discriminations often show that perceptual learning effects are specific to the trained task or stimulus.
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However, not all perceptual learning tasks are specific to the trained stimuli or tasks.
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Ahissar and Hochstein used visual search to show that Perceptual learning to detect a single line element hidden in an array of differently-oriented line segments could generalize to positions at which the target was never presented.
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In 2005, Petrov, Dosher and Lu pointed out that perceptual learning may be explained in terms of the selection of which analyzers best perform the classification, even in simple discrimination tasks.
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Rather, changes that occur in perceptual learning arise from changes in higher-level, abstract representations of the relevant stimuli.
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Perceptual learning further found that when he used a differential protocol, by consistently presenting food after one stimulus while not presenting food after another stimulus, dogs were quickly conditioned to selectively salivate in response to the rewarded one.
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Several studies asked whether Perceptual learning takes place during practice sessions or in between, for example, during subsequent sleep.
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Perceptual learning is often said to be implicit, such that learning occurs without awareness.
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An important potential application of perceptual learning is the acquisition of skill for practical purposes.
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In educational domains, recent efforts by Philip Kellman and colleagues showed that perceptual learning can be systematically produced and accelerated using specific, computer-based technology.
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