The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.
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,
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“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
Citations
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
Cited by
Sorted by citations
Items 901–1,000 of 1,010
Bonardi, C., Graham, S., Hall, G., & Mitchell, C. J. (2005) · Psychonomic Bulletin & Review · doi:10.3758/bf03196351 · Cited by 40
Self-citationQuantitative models of Pavlovian conditioning
Vogel, E. H., Castro, M. E., & Saavedra, M. A. (2004) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2004.01.005 · Cited by 42
Genetic influences on latent inhibition.
Gould, T. J., & Wehner, J. M. (1999) · Behavioral Neuroscience · doi:10.1037/0735-7044.113.6.1291 · Cited by 41
Perceptual Learning in Maze Discriminations
Trobalón, J. B., Sansa, J., Chamizo, V. D., & Mackintosh, N. J. (1991) · The Quarterly Journal of Experimental Psychology Section B · doi:10.1080/14640749108401276 · Cited by 42
Context sensitivity of conditioned suppression following preexposure to the conditioned stimulus
Swartzentruber, D., & Bouton, M. E. (1992) · Animal Learning & Behavior · doi:10.3758/bf03200406 · Cited by 44
Latent Inhibition Deficits in Hyperactive Children
Lubow, R. E., & Josman, Z. E. (1993) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.1993.tb01101.x · Cited by 41
Latent inhibition in humans: Single-cue conditioning revisited.
Lipp, O. V., Siddle, D. A. T., & Vaitl, D. (1992) · Journal of Experimental Psychology Animal Behavior Processes · doi:10.1037/0097-7403.18.2.115 · Cited by 41
Selective transfer of responding in conditional discriminations.
Wilson, P. N., & Pearce, J. M. S. (1990) · PubMed · Cited by 41
Self-citationMultilevel analysis of classical conditioning in a behaving real world artifact
Verschure, P. F. M. J., Wray, J., Sporns, O., Tononi, G., & Edelman, G. M. (1995) · Robotics and Autonomous Systems · doi:10.1016/0921-8890(95)00050-x · Cited by 41
Covariation in conditioned response strength between stimuli trained in compound
Matzel, L. D., Shuster, K., & Miller, R. R. (1987) · Animal Learning & Behavior · doi:10.3758/bf03205054 · Cited by 41
Dopamine, inference, and uncertainty
Gershman, S. J. (2017) · Neural Computation · doi:10.1162/neco_a_01023 · Cited by 40
The role of interference produced by conflicting associations in contextual control.
Nelson, J. B., & Callejas-Aguilera, J. E. (2007) · Journal of Experimental Psychology Animal Behavior Processes · doi:10.1037/0097-7403.33.3.314 · Cited by 39
Two roles of the context in Pavlovian fear conditioning.
Urcelay, G. P., & Miller, R. R. (2010) · Journal of Experimental Psychology Animal Behavior Processes · doi:10.1037/a0017298 · Cited by 41
The role of attentional bias in mediating human drug-seeking behaviour
Hogarth, L., Dickinson, A., Janowski, M., Nikitina, A., & Duka, T. (2008) · Psychopharmacology · doi:10.1007/s00213-008-1244-2 · Cited by 40
Baas, J. M. P. (2012) · Biological Psychology · doi:10.1016/j.biopsycho.2012.02.001 · Cited by 44
Separation of time-based and trial-based accounts of the partial reinforcement extinction effect
Bouton, M. E., Woods, A. M., & Todd, T. P. (2013) · Behavioural Processes · doi:10.1016/j.beproc.2013.08.006 · Cited by 43
Thompson, A., & Lipp, O. V. (2017) · Behaviour Research and Therapy · doi:10.1016/j.brat.2017.01.017 · Cited by 44
Stolyarova, A., & Izquierdo, A. (2017) · eLife · doi:10.7554/elife.27483 · Cited by 39
Corrêa, C. M. C., Noorman, S., Jiang, J., Palminteri, S., Cohen, M. X., Lebreton, M. P., & van Gaal, S. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.0457-18.2018 · Cited by 42
A Rescorla-Wagner drift-diffusion model of conditioning and timing
Luzardo, A., Alonso, E., & Mondragón, E. (2017) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1005796 · Cited by 45
Holland, P. C. (2005) · Learning & Behavior · doi:10.3758/bf03193185 · Cited by 45
Marchand, A. R., Luck, D., & Scala, G. D. (2003) · Journal of Neuroscience Methods · doi:10.1016/s0165-0270(03)00076-1 · Cited by 40
la Casa, L. G. D., & Lubow, R. E. (2001) · Neuropsychology · doi:10.1037//0894-4105.15.2.244 · Cited by 42
Dafters, R. I., Hetherington, M. M., & Mccartney, H. (1983) · The Quarterly Journal of Experimental Psychology Section B · doi:10.1080/14640748308400910 · Cited by 37
A central principle of science: Optimization
Bordley, R. F. (1983) · Systems Research and Behavioral Science · doi:10.1002/bs.3830280107 · Cited by 41
Freeman, J. H., & Nicholson, D. A. (1999) · Brain Research · doi:10.1016/s0006-8993(99)01547-4 · Cited by 41
BLOCKING, UNBLOCKING, AND OVEREXPECTATION IN AUTOSHAPING WITH PIGEONS
Khallad, Y., & Moore, J. (1996) · Journal of the Experimental Analysis of Behavior · doi:10.1901/jeab.1996.65-575 · Cited by 40
Stimulus salience and negative patterning.
Redhead, E. S., & Pearce, J. M. (1995) · PubMed · Cited by 40
Self-citationNicotinic alteration of decision-making
Naudé, J., Dongelmans, M., & Faure, P. (2015) · Neuropharmacology · doi:10.1016/j.neuropharm.2014.11.021 · Cited by 39
Alpha-to-beta- and gamma-band activity reflect predictive coding in affective visual processing
Strube, A., Rose, M., Fazeli, S., & Büchel, C. (2021) · Scientific Reports · doi:10.1038/s41598-021-02939-z · Cited by 39
Computational perspectives on human fear and anxiety
Yamamori, Y., & Robinson, O. J. (2022) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2022.104959 · Cited by 46
Homeostatic regulation of memory systems and adaptive decisions
Mizumori, S. J. Y., & Jo, Y. S. (2013) · Hippocampus · doi:10.1002/hipo.22176 · Cited by 43
Advances in understanding meso‐cortico‐limbic‐striatal systems mediating risky reward seeking
Piantadosi, P. T., Halladay, L. R., Radke, A. K., & Holmes, A. (2021) · Journal of Neurochemistry · doi:10.1111/jnc.15342 · Cited by 45
Moody, E. W., Sunsay, C., & Bouton, M. E. (2006) · Quarterly Journal of Experimental Psychology · doi:10.1080/17470210500299045 · Cited by 41
Effect of reward probability on spatial and temporal variation.
Stahlman, W. D., Roberts, S., & Blaisdell, A. P. (2010) · Journal of Experimental Psychology Animal Behavior Processes · doi:10.1037/a0015971 · Cited by 39
Livesey, E. J., Harris, I. M., & Harris, J. A. (2009) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037/a0014525 · Cited by 40
Kehoe, E. J., & white, N. E. (2002) · Animal Learning & Behavior · doi:10.3758/bf03192912 · Cited by 42
Bidirectional Associations in Humans and Rats.
Arcediano, F., Escobar, M. E., & Miller, R. R. (2005) · Journal of Experimental Psychology Animal Behavior Processes · doi:10.1037/0097-7403.31.3.301 · Cited by 42
Trial spacing is a determinant of cue interaction.
Stout, S. C., Chang, R. C., & Miller, R. R. (2003) · Journal of Experimental Psychology Animal Behavior Processes · doi:10.1037//0097-7403.29.1.23 · Cited by 39
Good, M., & Macphail, E. M. (1994) · PubMed · Cited by 38
Some types of conditioned inhibitors carry collateral excitatory associations
Williams, D. A., & Overmier, J. B. (1988) · Learning and Motivation · doi:10.1016/0023-9690(88)90045-8 · Cited by 39
Skinner, B. F. (1988) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00058490 · Cited by 39
Mediofrontal Negativity Signals Unexpected Timing of Salient Outcomes
Garofalo, S., Timmermann, C., Battaglia, S., Maier, M. E., & di Pellegrino, G. (2016) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01074 · Cited by 42
Desmaison, J. D. U., Sala, R. W., Ayyaz, A., Nondhalee, P., Popa, D., & Léna, C. (2023) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2023.1176668 · Cited by 39
Fear of the unexpected: Hippocampus mediates novelty-induced return of extinguished fear in rats
Maren, S. (2013) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2013.06.004 · Cited by 42
Delayed verbal reactions are specifically impaired in patients with schizophrenia
Pinelli, P., Ceriani, F., Colombo, R., Pasetti, C., Terazzi, M., & Castignoli, G. (2000) · International Journal of Psychophysiology · doi:10.1016/s0167-8760(00)00088-x · Cited by 38
The behavior of the listener, generic extensions, and the communicative adequacy of verbal behavior
Stemmer, N. (1992) · The Analysis of Verbal Behavior · doi:10.1007/bf03392875 · Cited by 37
O’Doherty, J. P. (2012) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2012.08074.x · Cited by 37
Emotions and epistemic evaluations
Hookway, C. (2002) · Cambridge University Press eBooks · doi:10.1017/cbo9780511613517.014 · Cited by 38
Thompson, A., McEvoy, P. M., & Lipp, O. V. (2018) · Behaviour Research and Therapy · doi:10.1016/j.brat.2018.07.001 · Cited by 40
Expected Reward Value and Reward Uncertainty Have Temporally Dissociable Effects on Memory Formation
Stanek, J. K., Dickerson, K. C., Chiew, K. S., Clement, N. J., & Adcock, R. A. (2019) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01411 · Cited by 38
A flexible and generalizable model of online latent-state learning
Cochran, A. L., & Cisler, J. M. (2019) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1007331 · Cited by 37
Critical evidence for the prediction error theory in associative learning
Terao, K., Matsumoto, Y., & Mizunami, M. (2015) · Scientific Reports · doi:10.1038/srep08929 · Cited by 38
Signaling a change in cue-outcome relations in human associative learning
Pineño, O., & Miller, R. R. (2004) · Learning & Behavior · doi:10.3758/bf03196034 · Cited by 38
Contextual conditional discriminations
Preston, G. C., Dickinson, A., & Mackintosh, N. J. (2007) · Quarterly Journal of Experimental Psychology · doi:10.1080/14640748608402230 · Cited by 37
Latent inhibition in human adults without masking.
Escobar, M. E., Arcediano, F., & Miller, R. R. (2003) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037/0278-7393.29.5.1028 · Cited by 40
Contrasting Acquisition-Focused and Performance-Focused Models of Acquired Behavior
Miller, R. R., & Escobar, M. E. (2001) · Current Directions in Psychological Science · doi:10.1111/1467-8721.00135 · Cited by 39
Statistical models and sensory attention
Dayan, P. (1999) · International Conference on Artificial Neural Networks · doi:10.1049/cp:19991246 · Cited by 38
Deprivation state and temporal horizons in anticipatory contrast.
Flaherty, C. F., Grigson, P. S., Checke, S., & Hnat, K. C. (1991) · Journal of Experimental Psychology Animal Behavior Processes · doi:10.1037//0097-7403.17.4.503 · Cited by 38
Roberts, J. E., Tarpy, R. M., & Lea, S. E. G. (1984) · Journal of Experimental Psychology Animal Behavior Processes · doi:10.1037//0097-7403.10.2.244 · Cited by 38
Conditioned excitation and conditioned inhibition are not mutually exclusive
Matzel, L. D., Gladstein, L., & Miller, R. R. (1988) · Learning and Motivation · doi:10.1016/0023-9690(88)90008-2 · Cited by 38
Stochastic reinforcement benefits skill acquisitionPreprint
Dayan, E., Averbeck, B. B., Richmond, B. J., & Cohen, L. G. (2014) · Learning & Memory · doi:10.1101/lm.032417.113 · Cited by 39
Vaidya, A. R., & Fellows, L. K. (2015) · The Journal of Neuroscience · doi:10.1523/jneurosci.1607-15.2015 · Cited by 37
“In this framework, attention is directed to features based on their predictive value, providing an additional layer of learning about the nature of the environment that adjusts the gain on prediction errors for individual stimulus features (Mackintosh, 1975; Pearce and Hall, 1980; Le Pelley, 2010a; Pearce and Mackinto…”
BackgroundOptimal-Foraging Predator Favors Commensalistic Batesian Mimicry
Honma, A., Takakura, K., & Nishida, T. (2008) · PLoS ONE · doi:10.1371/journal.pone.0003411 · Cited by 37
Neuronal signals for reward risk in frontal cortex
Schultz, W., O’Neill, M. J., Tobler, P. N., & Kobayashi, S. (2011) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2011.06256.x · Cited by 41
Nokia, M. S., Penttonen, M., & Wikgren, J. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.2165-10.2010 · Cited by 40
Griffiths, O., Langdon, R. A., Pelley, M. E. L., & Coltheart, M. (2014) · Cognitive Neuropsychiatry · doi:10.1080/13546805.2014.897601 · Cited by 38
Blocking in autoshaped lever-pressing procedures with rats
Holland, P. C., Asem, J. S. A., Galvin, C. P., Keeney, C. M. H., Hsu, M., Miller, A., & Zhou, V. (2013) · Learning & Behavior · doi:10.3758/s13420-013-0120-z · Cited by 37
Associative Learning and Conditioning Theory
Laborda, M. A., McConnell, B. L., & Miller, R. R. (2011) · Cited by 36
Koenig, S., Uengoer, M., & Lachnit, H. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2017.00266 · Cited by 36
Enhanced Pavlovian aversive conditioning to positive emotional stimuli.
Stussi, Y., Pourtois, G., & Sander, D. (2018) · Journal of Experimental Psychology General · doi:10.1037/xge0000424 · Cited by 41
The computational relationship between reinforcement learning, social inference, and paranoia
Barnby, J. M., Mehta, M. A., & Moutoussis, M. (2022) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1010326 · Cited by 37
Multistage Valuation Signals and Common Neural Currencies
Platt, M. L., & Plaßmann, H. (2013) · Elsevier eBooks · doi:10.1016/b978-0-12-416008-8.00013-9 · Cited by 38
Filial imprinting and associative learning
Bolhuis, J. J., VOS, G. J. D., & Kruijt, J. P. (1990) · University of Groningen research database (University of Groningen / Centre for Information Technology) · doi:10.1080/14640749008401886 · Cited by 37
Latent inhibition, context specificity, and context familiarity.
McLaren, I. P. L., Bennett, C., Plaisted, K. C., Aitken, M. R. F., & Mackintosh, N. J. (1994) · PubMed · Cited by 37
The acquisition of conditioned responding.
Harris, J. A. (2011) · Journal of Experimental Psychology Animal Behavior Processes · doi:10.1037/a0021883 · Cited by 39
Inferring non-observed correlations from causal scenarios: The role of causal knowledge
Perales, J. C., Catena, A., & Maldonado, A. (2003) · Learning and Motivation · doi:10.1016/s0023-9690(03)00042-0 · Cited by 37
Attenuation of blocking by a change in US locus
Stickney, K. J., & Donahoe, J. W. (1983) · Animal Learning & Behavior · doi:10.3758/bf03212308 · Cited by 37
Selective Attention in Animal Discrimination Learning
Zentall, T. R., & Riley, D. A. (2000) · The Journal of General Psychology · doi:10.1080/00221300009598570 · Cited by 37
Contextual control of negative transfer produced by prior CS-US pairings
Swartzentruber, D., & Bouton, M. E. (1986) · Learning and Motivation · doi:10.1016/0023-9690(86)90004-4 · Cited by 37
Weiner, I., & Joel, D. (2002) · Handbook of experimental pharmacology · doi:10.1007/978-3-662-06765-9_13 · Cited by 37
Nonconscious control of autonomic responses: A role for Pavlovian conditioning?
Öhman, A. (1988) · Biological Psychology · doi:10.1016/0301-0511(88)90045-2 · Cited by 37
What starts an internal clock?
Roberts, S., & Holder, M. D. (1984) · Journal of Experimental Psychology Animal Behavior Processes · doi:10.1037//0097-7403.10.3.273 · Cited by 39
Grounding predictive coding models in empirical neuroscience research
Egner, T., & Summerfield, C. (2013) · Behavioral and Brain Sciences · doi:10.1017/s0140525x1200218x · Cited by 36
How Instructions, Learning, and Expectations Shape Pain and Neurobiological Responses
Atlas, L. Y. (2023) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-101822-122427 · Cited by 36
Lee, H. J., Youn, J. M., Gallagher, M., & Holland, P. C. (2008) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2008.06272.x · Cited by 35
Conditioned inhibition: Historical critiques and controversies in the light of recent advances.
Sosa, R., & Ramírez, M. (2019) · Journal of Experimental Psychology: Animal Learning and Cognition · doi:10.1037/xan0000193 · Cited by 32
Dialogue on economic choice, learning theory, and neuronal representations
Padoa‐Schioppa, C., & Schoenbaum, G. M. (2015) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2015.06.004 · Cited by 37
Stout, S. C., Escobar, M. E., & Miller, R. R. (2004) · Learning & Behavior · doi:10.3758/bf03196024 · Cited by 39
Presynaptic Inhibition of Gamma Lobe Neurons Is Required for Olfactory Learning in Drosophila
Zhang, S., & Roman, G. (2013) · Current Biology · doi:10.1016/j.cub.2013.10.043 · Cited by 36
Negative Transfer in Human Associative Learning
Griffiths, O., Johnson, A. M., & Mitchell, C. J. (2011) · Psychological Science · doi:10.1177/0956797611419305 · Cited by 41
INDEPENDENCE OF REINFORCEMENT DELAY AND MAGNITUDE IN CONCURRENT CHAINS
Grace, R. C. (1995) · Journal of the Experimental Analysis of Behavior · doi:10.1901/jeab.1995.63-255 · Cited by 37
Comparing associative, statistical, and inferential reasoning accounts of human contingency learning
Pineño, O., & Miller, R. R. (2007) · Quarterly Journal of Experimental Psychology · doi:10.1080/17470210601000680 · Cited by 37
Latent Inhibition as a Function of Modulation of Attention to the Preexposed Irrelevant Stimulus
Braunstein‐Bercovitz, H., & Lubow, R. E. (1998) · Learning and Motivation · doi:10.1006/lmot.1998.1005 · Cited by 39
Wheeler, D. S., Stout, S. C., & Miller, R. R. (2004) · Learning & Behavior · doi:10.3758/bf03196032 · Cited by 36
Huh, K. H., Guzmán, Y. F., Tronson, N. C., Guedea, A. L., Gao, C., & Radulović, J. (2009) · Learning & Memory · doi:10.1101/lm.1240109 · Cited by 37
Disentangling the attentional deficit in schizophrenia: Pointers from schizotypy
Pelley, M. E. L., Schmidt‐Hansen, M., Harris, N. J., Lunter, C. M., & Morris, C. S. (2010) · Psychiatry Research · doi:10.1016/j.psychres.2009.03.027 · Cited by 34
Huang, Y., & Yu, R. (2014) · Frontiers in Neuroscience · doi:10.3389/fnins.2014.00108 · Cited by 38
Waters, A. M., & Kershaw, R. (2015) · Behaviour Research and Therapy · doi:10.1016/j.brat.2014.11.010 · Cited by 34
Learned together, extinguished apart: reducing fear to complex stimuli
Jones, C. E., Ringuet, S., & Monfils, M.-H. (2013) · Learning & Memory · doi:10.1101/lm.031740.113 · Cited by 30
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 ›
Are you an author, or do you see a problem with this page? Request a review