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A model for Pavlovian learning: Variations in the effectiveness of conditioned but not of unconditioned stimuli.
Abstract
Several formal models of excitatory classical conditioning are reviewed. It is suggested that a central problem for all of them is the explanation of cases in which learning does not occur in spite of the fact that the conditioned stimulus is a signal for the reinforcer. We propose a new model that deals with this problem by specifying that certain procedures cause a conditioned stimulus (CS) to lose effectiveness; in particular, we argue that a CS will lose associability when its consequences are accurately predicted. In contrast to other current models, the effectiveness of the reinforcer remains constant throughout conditioning. The second part of the article presents a reformulation of the nature of the learning produced by inhibitory-conditioning procedures and a discussion of the way in which such learning can be accommodated within the model outlined for excitatory learning. A recent review of classical conditioning (Dickinson & Mackintosh, 1978) suggests that the underlying associative process is "responsible for organisms learning about the relationships between events, enabling them to build up an associative representation of the causal structure of their environment" (p. 588). According to this view the occurrence of a conditioned response (CR) as a result of the pairing of a conditioned stimulus (CS) and an unconditioned stimulus (US) is regarded as being merely an index of the formation of some internal representation of the relationship between CS and US. The first task of a theory of classical conditioning becomes that of This work was supported by grants from the United Kingdom Science and Medical Research Councils. We have made free use of many suggestions, especially concerning inhibitory learning, made by A. Dickinson. We thank him and also C. Adams, P. Bailey, S. Channel!, N. Mackintosh, and E. Macphail for their comments on earlier versions of this article. Requests for reprints should be sent to John Pearce,
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“according to at least one venerable theory of associative learning, the Pearce-Hall model of Pavlovian learning (Pearce & Hall, 1980), attention paid to cues that predict a reinforcer should decline as the reinforcer becomes better and better predicted during extended conditioning.”
From Context, attention, and the switch between habit and goal-direction in behavior (2021) · cites this paper as Pearce & Hall, 1980
In the citing paper
“The attention explanation given above is based on a well-known theory of attention and its role in Pavlovian learning (Pearce & Hall, 1980).”
From Context, attention, and the switch between habit and goal-direction in behavior (2021) · cites this paper as Pearce & Hall, 1980
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Cites
Shiffrin, R. M., & Schneider, W. (1977) · Psychological Review · doi:10.1037/0033-295x.84.2.127 · Cited by 7,335
Rescorla, R. A. (1972) · Medical Entomology and Zoology · Cited by 7,268
Controlled and automatic human information processing: I. Detection, search, and attention.
Schneider, W., & Shiffrin, R. M. (1977) · Psychological Review · doi:10.1037/0033-295x.84.1.1 · Cited by 5,902
Lane, S. D. (2016) · Routledge eBooks · doi:10.4324/9781315506173-8 · Cited by 4,707
Classical conditioning II: Current research and theory.
Black, A. H., & Prokasy, W. F. (1972) · Appleton-Century-Crofts eBooks · Cited by 4,449
A theory of attention: Variations in the associability of stimuli with reinforcement
Mackintosh, N. J. (1975) · Psychological Review · doi:10.1037/h0076778 · Cited by 2,733
The Psychology of Animal Learning
Hill, W. F., & Mackintosh, N. J. (1976) · The American Journal of Psychology · doi:10.2307/1421765 · Cited by 2,397
Controlled and automatic human information processing: I
Schneider, W. E., & Shiffrin, R. M. (1977) · Cited by 2,228
Punishment and aversive behavior
Campbell, B. A., & Church, R. M. (1969) · Appleton-Century-Crofts eBooks · Cited by 1,989
Predictability, surprise, attention, and conditioning
Kamin, L. J. (1967) · NASA Technical Reports Server (NASA) · Cited by 1,483
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Ewert, J. ‐., & Finkenstädt, T. (1987) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00056570 · Cited by 58
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Holland, P. C. (1989) · Journal of Experimental Psychology Animal Behavior Processes · doi:10.1037/0097-7403.15.3.183 · Cited by 57
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Prévost, C., McCabe, J. A., Jessup, R. K., Bossaerts, P. L., & O’Doherty, J. P. (2011) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2011.07686.x · Cited by 61
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Zhang, K., Chen, C. D., & Monosov, I. E. (2018) · Current Biology · doi:10.1016/j.cub.2018.11.012 · Cited by 56
Context as an occasion setter following either CS acquisition and extinction or CS acquisition alone
Grahame, N. J., Hallam, S. C., Geier, L. L., & Miller, R. R. (1990) · Learning and Motivation · doi:10.1016/0023-9690(90)90008-c · Cited by 59
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Honey, R. C., & Hall, G. (1989) · Learning and Motivation · doi:10.1016/0023-9690(89)90008-8 · Cited by 58
Self-citationBidirectional instrumental conditioning.
Dickinson, A., Campos, J., Varga, Z. I., & Balleine, B. W. (1996) · PubMed · doi:10.1080/713932637 · Cited by 56
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Loof, E. D., Ergo, K., Naert, L., Janssens, C., Talsma, D., Filip Van Opstal, A., & Verguts, T. (2018) · PLoS ONE · doi:10.1371/journal.pone.0189212 · Cited by 50
Shizgal, P., & Arvanitogiannis, A. (2003) · Science · doi:10.1126/science.1083627 · Cited by 54
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Papachristos, E. B., & Gallistel, C. R. (2006) · Journal of the Experimental Analysis of Behavior · doi:10.1901/jeab.2006.71-05 · Cited by 53
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Aydin, A., & Pearce, J. M. (1997) · Animal Learning & Behavior · doi:10.3758/bf03199029 · Cited by 54
Self-citationFacilitation and retardation of discrimination learning after exposure to the stimuli.
Channell, S., & Hall, G. (1981) · Journal of Experimental Psychology Animal Behavior Processes · doi:10.1037//0097-7403.7.4.437 · Cited by 54
Self-citationLearning and memory in mimicry. I. Simulations of laboratory experiments
TURNER, J. R. G., & Speed, M. P. (1996) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.1996.0100 · Cited by 53
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la Casa, L. G. D., & Lubow, R. E. (2002) · Animal Learning & Behavior · doi:10.3758/bf03192913 · Cited by 56
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Pearce, J. M. S., & Wilson, P. N. (1990) · Journal of Experimental Psychology Animal Behavior Processes · doi:10.1037//0097-7403.16.3.250 · Cited by 54
Self-citationIntegrating Behavioral and Biological Models of Classical Conditioning
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Beesley, T., & Pelley, M. E. L. (2010) · Journal of Experimental Psychology Animal Behavior Processes · doi:10.1037/a0019526 · Cited by 57
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Anselme, P. (2014) · Behavioural Processes · doi:10.1016/j.beproc.2014.10.016 · Cited by 57
Ward, R. D., Gallistel, C. R., Jensen, G., Richards, V. L., Fairhurst, S., & Balsam, P. D. (2012) · Journal of Experimental Psychology Animal Behavior Processes · doi:10.1037/a0027621 · Cited by 54
Cholinergic optimization of cue‐evoked parietal activity during challenged attentional performance
Broussard, J. I., Karelina, K., Sarter, M. F., & Givens, B. S. (2009) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2009.06713.x · Cited by 53
Esber, G. R., Roesch, M. R., Bali, S., Trageser, J. C., Bissonette, G. B., Puché, A. C., Holland, P. C., & Schoenbaum, G. M. (2012) · Biological Psychiatry · doi:10.1016/j.biopsych.2012.05.023 · Cited by 55
Belke, T. W., & Spetch, M. L. (1994) · Journal of the Experimental Analysis of Behavior · doi:10.1901/jeab.1994.62-353 · Cited by 53
Pool, E. R., Pauli, W. M., Kress, C. S., & O’Doherty, J. P. (2019) · Nature Human Behaviour · doi:10.1038/s41562-018-0527-9 · Cited by 56
Uncertainty-driven regulation of learning and exploration in adolescents: A computational account
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Mondragón, E., & Hall, G. (2002) · The Quarterly Journal of Experimental Psychology Section B · doi:10.1080/02724990143000225 · Cited by 53
Self-citationWilliams, D. A., Travis, G. M., & Overmier, J. B. (1986) · Journal of Experimental Psychology Animal Behavior Processes · doi:10.1037/0097-7403.12.4.351 · Cited by 53
Differential Effects of Cerebellar Inactivation on Eyeblink Conditioned Excitation and Inhibition
Freeman, J. H., Halverson, H. E., & Poremba, A. (2005) · Journal of Neuroscience · doi:10.1523/jneurosci.4534-04.2005 · Cited by 53
Role of primary motivation in stimulus preexposure effects.
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Rescorla, R. A. (2001) · The Quarterly Journal of Experimental Psychology Section B · doi:10.1080/02724990042000038 · Cited by 54
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Gould, T. J., Collins, A. C., & Wehner, J. M. (2001) · Nicotine & Tobacco Research · doi:10.1080/14622200020032060 · Cited by 56
Anticipatory contrast: Within-subjects analysis
Flaherty, C. F., & Rowan‐Szal, G. A. (1985) · Animal Learning & Behavior · doi:10.3758/bf03213357 · Cited by 53
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Contextual control in discrimination reversal learning.
Uengoer, M., & Lachnit, H. (2006) · Journal of Experimental Psychology Animal Behavior Processes · doi:10.1037/0097-7403.32.4.441 · Cited by 54
Adaptive and aberrant reward prediction signals in the human brain
Roiser, J. P., Stephan, K. E., den Ouden, H. E. M., Friston, K. J., & Joyce, E. M. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.11.075 · Cited by 56
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Vanni-Mercier, G., Mauguı̀ere, F., Isnard, J., & Dreher, J. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.5298-08.2009 · Cited by 50
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Hart, E. E., Sharpe, M. J., Gardner, M., & Schoenbaum, G. M. (2020) · eLife · doi:10.7554/elife.59998 · Cited by 56
Smith, B. H. (1997) · Behavioral Neuroscience · doi:10.1037/0735-7044.111.1.57 · Cited by 50
Latent inhibition and contextual associations.
Escobar, M. E., Arcediano, F., & Miller, R. R. (2002) · Journal of Experimental Psychology Animal Behavior Processes · doi:10.1037//0097-7403.28.2.123 · Cited by 54
Temporal encoding as a determinant of overshadowing.
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Beyond the information (not) given: Representations of stimulus absence in rats (Rattus norvegicus).
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Monosov, I. E., & Rushworth, M. F. S. (2021) · Neuropsychopharmacology · doi:10.1038/s41386-021-01079-2 · Cited by 53
Psychopathology and Individual Differences in Latent Inhibition: Schizophrenia and Schizotypality
Lubow, R. E., & Kaplan, O. (2010) · Plenum series on human exceptionality · doi:10.1007/978-1-4419-1210-7_11 · Cited by 51
Transdiagnostic computations of uncertainty: towards a new lens on intolerance of uncertainty
Sandhu, T. R., Xiao, B., & Lawson, R. P. (2023) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2023.105123 · Cited by 51
Mechanisms of renewal after the extinction of discriminated operant behavior
Todd, T. P., Vurbic, D., & Bouton, M. (2014) · Journal of Experimental Psychology: Animal Learning and Cognition · doi:10.1037/xan0000021 · Cited by 59
Cue competition as a retrieval deficit
Denniston, J. C., Savastano, H. I., Blaisdell, A. P., & Miller, R. R. (2003) · Learning and Motivation · doi:10.1016/s0023-9690(02)00505-2 · Cited by 52
Patitucci, E., Nelson, A. J. D., Dwyer, D. M., & Honey, R. C. (2016) · Journal of Experimental Psychology Animal Learning and Cognition · doi:10.1037/xan0000116 · Cited by 52
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Elston, T. W., & Bilkey, D. K. (2017) · Cell Reports · doi:10.1016/j.celrep.2017.05.062 · Cited by 53
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Gershman, S. J. (2017) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780199399550.013.20 · Cited by 51
Schaefer, L. M., & STEINGLASS, J. E. (2021) · Current Psychiatry Reports · doi:10.1007/s11920-020-01213-9 · Cited by 51
Latent inhibition in honeybees
Abramson, C. I., & Bitterman, M. E. (1986) · Animal Learning & Behavior · doi:10.3758/bf03200054 · Cited by 51
Capaldi, E. J., Verry, D. R., Nawrocki, T. M., & Miller, D. J. (1984) · Animal Learning & Behavior · doi:10.3758/bf03199808 · Cited by 51
Mallea, J., Bustamante, J., Míguez, G., & Laborda, M. A. (2019) · Springer eBooks · doi:10.1007/978-3-319-47829-6_1214-1 · Cited by 52
Dopaminergic Modulation of Appetitive and Aversive Predictive Learning
Iordanova, M. D. (2009) · Reviews in the Neurosciences · doi:10.1515/revneuro.2009.20.5-6.383 · Cited by 50
Attentional control of associative learning—A possible role of the central cholinergic system
Pauli, W. M., & O’Reilly, R. C. (2007) · Brain Research · doi:10.1016/j.brainres.2007.06.097 · Cited by 52
Predictive codes of familiarity and context during the perceptual learning of facial identities
Apps, M., & Tsakiris, M. (2013) · Nature Communications · doi:10.1038/ncomms3698 · Cited by 48
Visual statistical learning is not reliably modulated by selective attention to isolated events
Musz, E., Weber, M. J., & Thompson‐Schill, S. L. (2014) · Attention Perception & Psychophysics · doi:10.3758/s13414-014-0757-5 · Cited by 56
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Cole, R. P., & Miller, R. R. (1999) · Learning and Motivation · doi:10.1006/lmot.1998.1027 · Cited by 50
Acquired relational equivalence between contexts and features.
Honey, R. C., & Watt, A. A. (1999) · Journal of Experimental Psychology Animal Behavior Processes · doi:10.1037//0097-7403.25.3.324 · Cited by 50
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Hemsley, D. R. (1994) · Acta Psychiatrica Scandinavica · doi:10.1111/j.1600-0447.1994.tb05895.x · Cited by 50
Latent inhibition deficits in high-schizotypal normals: symptom-specific or anxiety-related?
Braunstein‐Bercovitz, H., Rammsayer, T. H., Gibbons, H., & Lubow, R. E. (2002) · Schizophrenia Research · doi:10.1016/s0920-9964(01)00166-9 · Cited by 50
The human insula processes both modality-independent and pain-selective learning signals
Horing, B., & Büchel, C. (2022) · PLoS Biology · doi:10.1371/journal.pbio.3001540 · Cited by 50
Competition between landmarks in spatial learning: The role of proximity to the goal
Chamizo, V. D., Manteiga, R. D., Rodrigo, T., & Mackintosh, N. J. (2005) · Behavioural Processes · doi:10.1016/j.beproc.2005.11.003 · Cited by 49
Dopamine activity in the nucleus accumbens modulates blocking in fear conditioning
Iordanova, M. D., Westbrook, R. F., & Killcross, S. (2006) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2006.05195.x · Cited by 49
Luque, D., López, F. J., Marco‐Pallarés, J., Càmara, E., & Rodríguez‐Fornells, A. (2011) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00145 · Cited by 52
Nees, F., & Becker, S. (2017) · Neuroscience · doi:10.1016/j.neuroscience.2017.08.051 · Cited by 49
Huang, X., Pu, W., Li, X., Greenshaw, A. J., Dursun, S. M., Xue, Z., Liu, H., & Liu, Z. (2017) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2017.00245 · Cited by 50
Lipp, O. V., Waters, A. M., Luck, C. C., Ryan, K. M., & Craske, M. G. (2019) · Behaviour Research and Therapy · doi:10.1016/j.brat.2019.103529 · Cited by 50
Similarity and discrimination learning
Redhead, E. S., & Pearce, J. M. (2007) · The Quarterly Journal of Experimental Psychology Section B · doi:10.1080/14640749508401436 · Cited by 49
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Cuevas, K., Rovee‐Collier, C., & Learmonth, A. E. (2006) · Psychological Science · doi:10.1111/j.1467-9280.2006.01741.x · Cited by 49
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Fineberg, S. K., & Corlett, P. R. (2016) · Cognitive Neuropsychiatry · doi:10.1080/13546805.2015.1136206 · Cited by 48
Failing, M., & Theeuwes, J. (2017) · Attention, Perception, & Psychophysics · doi:10.3758/s13414-017-1376-8 · Cited by 58
Metadata
- Authors
- Pearce, J. M., & Hall, G.
- Affiliations
- University of Wales (GB)
- ORCID
- Hall, Geoffrey
- Venue
- Psychological Review
- Published
- 1980
- Volume
- 87
- Issue
- 6
- Pages
- 532-552
- ISSN
- 0033-295X (ISSN-L)
- 1939-1471
- OpenAlex
- W2090144013
- Cited by
- 3,023
- References
- 46
- Citations by year
- 2026: 64 · 2025: 81 · 2024: 88 · 2023: 84 · 2022: 97 · 2021: 97 · 2020: 142 · 2019: 110 · 2018: 104 · 2017: 141 · 2016: 108 · 2015: 95 · 2014: 103 · 2013: 109 · 2012: 102
- FWCI
- 12.96
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Psychological Review (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory Processes and Influences
- Keywords
- Pavlovian learning, classical conditioning, excitatory conditioning, inhibitory conditioning, unconditioned stimulus, reinforcer effectiveness, associative learning
- MeSH terms
- Animals, Association Learning, Conditioning, Classical, Humans, Models, Psychological
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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