The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Perceptual and Associative Learning
Abstract
Psychologists studying conditioning in animals have developed the traditional notion of association formation to produce formal theories of the mechanisms involved that have wide explanatory power. Some indeed have suggested that the associative principle underlies all instances of learning. This suggestion is challenged by the existence of a range of perceptual learning phenomena, taken to indicate that the perceptual effectiveness of events (stimuli) can be changed by experience. It has been asserted that the learning process involved in such change is not associative. This book examines this assertion, concentrating on instances of possible perceptual learning effects that can be demonstrated in the experimental paradigms that have provided the basis for associative theory. The aim is to analyse the nature of these effects, to determine which can and which cannot be accommodated by our standard associative principles, and, for those that cannot, to specify how the standard theory must be modified in order to deal with them.
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“These results support the intriguing possibility that associative and perceptual learning might share common mechanisms4, 43.”
From Neural correlates of perceptual learning in a sensory-motor, but not a sensory, cortical area (2008) · cites this paper as [43]
Citations
Cites
Principles of Perceptual Learning and Development
Gibson, E. J. (1973) · Leonardo · doi:10.2307/1572721 · Cited by 2,505
Latent inhibition and conditioned attention theory.
Lubow, R. E., Schnur, P., & Rifkin, B. (1976) · Journal of Experimental Psychology Animal Behavior Processes · doi:10.1037/0097-7403.2.2.163 · Cited by 735
Information processing in animals : conditioned inhibition
Miller, R. R., & Spear, N. E. (1985) · Medical Entomology and Zoology · Cited by 624
How to think about perceptual learning: Twenty-five years later.
Gibson, E. J. (2004) · American Psychological Association eBooks · doi:10.1037/10564-009 · Cited by 33
Ayres, J. J. B., Moore, J. W., & Vigorito, M. (1984) · Animal Learning & Behavior · doi:10.3758/bf03199990 · Cited by 20
Cited by
Sorted by citations
Context, time, and memory retrieval in the interference paradigms of Pavlovian learning
Bouton, M. E. (1993) · Psychological Bulletin · doi:10.1037/0033-2909.114.1.80 · Cited by 1,896
Neural correlates of perceptual learning in a sensory-motor, but not a sensory, cortical area
Law, C.-T., & Gold, J. I. (2008) · Nature Neuroscience · doi:10.1038/nn2070 · Cited by 516
Le Pelley, M. E. (2004) · The Quarterly Journal of Experimental Psychology Section B · doi:10.1080/02724990344000141 · Cited by 360
The extraction and integration framework: A two-process account of statistical learning
Thiessen, E. D., Kronstein, A. T., & Hufnagle, D. G. (2013) · Psychological Bulletin · doi:10.1037/a0030801 · Cited by 202
Exploring a latent cause theory of classical conditioning
Gershman, S. J., & Niv, Y. (2012) · Learning & Behavior · doi:10.3758/s13420-012-0080-8 · Cited by 149
Metadata
- Authors
- Hall, G.
- Affiliations
- University of York (GB)
- Corresponding author
- Hall, Geoffrey
- ORCID
- Hall, Geoffrey
- Venue
- Oxford University Press eBooks
- Publisher
- Oxford University Press
- Published
- 1991-11-28
- OpenAlex
- W2072357349
- Cited by
- 481
- References
- 5
- Citations by year
- 2026: 8 · 2025: 5 · 2024: 6 · 2023: 3 · 2022: 1 · 2021: 8 · 2020: 10 · 2019: 8 · 2018: 5 · 2017: 15 · 2016: 17 · 2015: 12 · 2014: 14 · 2013: 16 · 2012: 18
- FWCI
- 3.96
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Oxford University Press eBooks (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory Processes and Influences
- Keywords
- perceptual learning, associative learning, conditioning, learning mechanisms, animal learning
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