Constraints on perceptual learning: objects and dimensions

Bedford, Felice L.

doi:10.1016/0010-0277(94)00637-z

Cited by 50 publications

(56 citation statements)

References 85 publications

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“…The results are also relevant to current alternative accounts ofCCAEs-the error-correction account of Dodwell and Humphrey (1990Humphrey ( , 1993Dodwell, 1992) and the perceptual learning account recently proposed by Bedford (1995).…”

Section: Discussionmentioning

confidence: 55%

“…The results of these experiments are relevant to an associative interpretation ofCCAEs, as well as to current alternative interpretations of the phenomenon, especially the error-correction account developed by Humphrey (1990, 1993;Dodwell, 1992) and the perceptual learning account recently proposed by Bedford (1995).…”

Section: Same-color Inductionmentioning

confidence: 72%

“…According to Bedford's (1995) perceptual learning account, a CCAE will be induced when the two induction patterns are interpreted as referring to a single object and a real-world constraint about that object is violated. This is the case in the usual induction oforientation CCAEs involving two complementarily colored and orthogonally oriented grids.…”

Section: Perceptual Learning Account Of Ccaesmentioning

confidence: 99%

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Contingent color aftereffects: Reassessing old conclusions

Allan

Siegel

1997

Perception & Psychophysics

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Section: Discussionmentioning

confidence: 55%

Section: Same-color Inductionmentioning

confidence: 72%

Section: Perceptual Learning Account Of Ccaesmentioning

confidence: 99%

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Contingent color aftereffects: Reassessing old conclusions

Allan

Siegel

1997

Perception & Psychophysics

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“…For instance, an alternative to 'action' may be more generally mappings between perceptual dimensions. That would include action, because there are many visual-motor mappings of dimensions involving action, and would also include effects such as the McCollough Effect, which involves a mapping between dimensions of orientation and opponent color (see Bedford, 1995). Whether this is true or not, the general point is that the Not-the-Liver fallacy contributes to premature conclusions and categorizing that may subsequently have to be undone.…”

Section: Visionmentioning

confidence: 99%

“…A much less familiar category is Perceptual learning, which includes processes that correct internal errors or otherwise improve sensory systems. Perceptual learning mechanisms do not lead to improvement by representing facts about the world the way World learning mechanisms do, but rather by updating the sensory systems themselves (see Bedford, 1993a;Bedford, 1995). Accurate sensory systems are essential for engaging in new and accurate world learning.…”

Section: Acknowledgementsmentioning

confidence: 99%

False categories in cognition: the Not-The-Liver fallacy

Bedford

1997

Cognition

Self Cite

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This paper reports on an increasingly frequent error committed in cognition research that at best slows progress, and at worse leads to self-perpetuating false claims and misguided research. The error involves how we identify meaningful processes and categories on the basis of data. Examples are given from three areas of cognition: (1) memory, where the misconception has fueled the popular implicit/explicit categories, (2) perception, where the misconception is used to re-evaluate the classic what/where division, and (3) motor skills, where it is used to draw conclusions from patients with Huntington's disease. Reasons for the prevalence of this error, how it relates to double dissociations, and what it suggests about scientific reasoning are offered. © 1997 Elsevier Science B.V.

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Perceptual Learning

Kellman¹

2002

Stevens' Handbook of Experimental Psychology

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Perceptual learning refers to experience‐induced changes in the way information is extracted. Evidence suggests that such changes are pervasive in human perception, affecting tasks from the simplest sensory discriminations to the most complex extraction of abstract relations, and that perceptual learning is not reducible to other forms of learning. In this chapter, I consider perceptual learning phenomena in terms of components of discovery; ways in which new bases of response are attained; fluency; and ways in which the speed and ease of information pickup improve. Although data from several senses are considered, I focus on vision: basic visual sensitivities, “middle vision” (perception of surfaces and objects), and high‐level visual cognition. I consider neural bases and computational models, as well as evidence about the conditions under which learning occurs and real‐world applications of perceptual learning. Perceptual learning, which comprises one of the most important foundations of human expertise, provides a window into plasticity in the nervous system and poses computational challenges in understanding how information extraction changes with experience.

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Constraints on perceptual learning: objects and dimensions

Cited by 50 publications

References 85 publications

Contingent color aftereffects: Reassessing old conclusions

Contingent color aftereffects: Reassessing old conclusions

False categories in cognition: the Not-The-Liver fallacy

Perceptual Learning

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