The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
Behavioral Studies of Pavlovian Conditioning
Abstract
The brain's default mode network consists of discrete, bilateral and symmetrical cortical areas, in the medial and lateral parietal, medial prefrontal, and medial and lateral temporal cortices of the human, nonhuman primate, cat, and rodent brains. Its ...Read More
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“As a result, predictive stimuli acquire the affective properties of outcomes (Rescorla, 1988).”
From Dopamine reward circuitry: Two projection systems from the ventral midbrain to the nucleus accumbens–olfactory tubercle complex (2007) · cites this paper as Rescorla, 1988
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Cites
Rescorla, R. A. (1972) · Medical Entomology and Zoology · Cited by 7,268
Self-citationPearce, J. M., & Hall, G. (1980) · Psychological Review · doi:10.1037/0033-295x.87.6.532 · Cited by 3,023
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
Habituation: a model phenomenon for the study of neuronal substrates of behavior
Thompson, R. F., & Spencer, W. A. (1966) · Psychological Review · doi:10.1037/h0022681 · Cited by 2,608 · cited 1×
“That course can be studied as a function of such primitive variables as stimulus intensity, modality, and spacing (e.g. Thompson & Spencer 1966).”
BackgroundRelation of cue to consequence in avoidance learning
García, J., & Koelling, R. A. (1966) · Psychonomic Science · doi:10.3758/bf03342209 · Cited by 2,006
Conditioning and Associative Learning
Hill, W. F., & Mackintosh, N. J. (1984) · The American Journal of Psychology · doi:10.2307/1422540 · Cited by 1,304
Probability of shock in the presence and absence of cs in fear conditioning.
Rescorla, R. A. (1968) · Journal of Comparative and Physiological Psychology · doi:10.1037/h0025984 · Cited by 1,067 · cited 3×
“The second example comes from experiments demonstrating the importance of the CS/US contingency, as distinct from the CS/US contiguity, in producing conditioning (Rescorla 1968).”
BackgroundInfluentialSelf-citationMechanisms of Animal Discrimination Learning
Bitterman, M. E., Sutherland, N., & Mackintosh, N. J. (1972) · The American Journal of Psychology · doi:10.2307/1420674 · Cited by 954
Contemporary Animal Learning Theory
LoLordo, V. M., & Dickinson, A. (1982) · The American Journal of Psychology · doi:10.2307/1422669 · Cited by 890
"Attention-like" processes in classical conditioning
Kamin, L. J. (1967) · NASA Technical Reports Server (NASA) · Cited by 716
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Berridge, K. C., & Robinson, T. E. (1998) · Brain Research Reviews · doi:10.1016/s0165-0173(98)00019-8 · Cited by 4,127
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Chishti, M. A., Yang, D.-S., Janus, C., Phinney, A. L., Horne, P., Pearson, J., Strome, R., Zuker, N., Loukides, J., French, J., et al. (2001) · Journal of Biological Chemistry · doi:10.1074/jbc.m100710200 · Cited by 955
Lonsdorf, T. B., Menz, M. M., Andreatta, M., Fullana, M. A., Golkar, A., Haaker, J., Heitland, I., Hermann, A., Kuhn, M., Kruse, O., et al. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.02.026 · Cited by 837
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Yagishita, S., Hayashi-Takagi, A., Ellis-Davies, G. C. R., Urakubo, H., Ishii, S., & Kasai, H. (2014) · Science · doi:10.1126/science.1255514 · Cited by 614
Yin, H. H., Ostlund, S. B., & Balleine, B. W. (2008) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2008.06422.x · Cited by 416
Brain mediators of predictive cue effects on perceived pain
Atlas, L. Y., Bolger, N., Lindquist, M. A., & Wager, T. D. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.0057-10.2010 · Cited by 389
Pedreira, M. E., Pérez-Cuesta, L. M., & Maldonado, H. (2004) · Learning & Memory · doi:10.1101/lm.76904 · Cited by 367
Rescorla, R. A. (2004) · Learning & Memory · doi:10.1101/lm.77504 · Cited by 380
Self-citationRosenkranz, J. A., Moore, H., & Grace, A. A. (2003) · The Journal of Neuroscience · doi:10.1523/jneurosci.23-35-11054.2003 · Cited by 344
Norepinephrine and learning-induced plasticity in infant rat olfactory system
Sullivan, R., Wilson, D., & Leon, M. (1989) · The Journal of Neuroscience · doi:10.1523/jneurosci.09-11-03998.1989 · Cited by 261
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Knight, D. C., Smith, C. N., Cheng, D. T., Stein, E. A., & Helmstetter, F. J. (2004) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/cabn.4.3.317 · Cited by 249
Physiological memory in primary auditory cortex: characteristics and mechanisms
Weinberger, N. M. (1998) · Neurobiology of Learning and Memory · doi:10.1006/nlme.1998.3850 · Cited by 245
Neural Substrates Mediating Human Delay and Trace Fear Conditioning
Knight, D. C., Cheng, D. T., Smith, C. N., Stein, E. A., & Helmstetter, F. J. (2004) · The Journal of Neuroscience · doi:10.1523/jneurosci.0433-03.2004 · Cited by 239
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Weinberger, N. M. (2007) · Learning & Memory · doi:10.1101/lm.421807 · Cited by 223
Abstract context representations in primate amygdala and prefrontal cortex
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High-intensity sweeteners and energy balance.
Swithers, S. E., Martin, A. A., & Davidson, T. L. (2010) · Physiology & Behavior · doi:10.1016/j.physbeh.2009.12.021 · Cited by 206
Walters, E. T. (1994) · International Review of Neurobiology · doi:10.1016/s0074-7742(08)60307-4 · Cited by 206
Scharf, M. T., Woo, N. H., Lattal, K. M., Young, J. Z., Nguyen, P. V., & Abel, T. (2002) · Journal of Neurophysiology · doi:10.1152/jn.2002.87.6.2770 · Cited by 204
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Hanson, J. L., van den Bos, W., Roeber, B. J., Rudolph, K. D., Davidson, R. J., & Pollak, S. D. (2017) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12694 · Cited by 136
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Perry, C. J., & Barron, A. B. (2013) · Annual Review of Entomology · doi:10.1146/annurev-ento-120811-153631 · Cited by 135
Wenzel, J. M., Rauscher, N. A., Cheer, J. F., & Oleson, E. B. (2015) · ACS Chemical Neuroscience · doi:10.1021/cn500255p · Cited by 131
Mauelshagen, J., Sherff, C. M., & Carew, T. J. (1998) · Learning & Memory · doi:10.1101/lm.5.3.246 · Cited by 129
Associative and non-associative plasticity in Kenyon cells of the honeybee mushroom body
Szyszka, P. (2008) · Frontiers in Systems Neuroscience · doi:10.3389/neuro.06.003.2008 · Cited by 121
Beck, C. D. O., Schroeder, B., & Davis, R. L. (2000) · The Journal of Neuroscience · doi:10.1523/jneurosci.20-08-02944.2000 · Cited by 120
Cain, C. K., & LeDoux, J. E. (2007) · Journal of Experimental Psychology: Animal Behavior Processes · doi:10.1037/0097-7403.33.4.451 · Cited by 72
Palminteri, S., Clair, A.-H., Mallet, L., & Pessiglione, M. (2012) · Biological Psychiatry · doi:10.1016/j.biopsych.2011.12.028 · Cited by 60
Trace conditioning in insects—keep the trace!
Dylla, K. V., Galili, D. S., Szyszka, P., & Lüdke, A. (2013) · Frontiers in Physiology · doi:10.3389/fphys.2013.00067 · Cited by 57
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Karuza, E. A., Emberson, L. L., & Aslin, R. N. (2014) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2013.09.012 · Cited by 50
Brenhouse, H. C., Dumais, K., & Andersen, S. L. (2010) · Neuroscience · doi:10.1016/j.neuroscience.2010.05.063 · Cited by 38
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Seifert, G., Sealander, A., Marzen, S., & Levin, M. (2024) · BioSystems · doi:10.1016/j.biosystems.2023.105107 · Cited by 16
Metadata
- Authors
- Rescorla, R. A.
- Affiliations
- University of Pennsylvania (US)
- Corresponding author
- Rescorla, R A
- Venue
- Annual Review of Neuroscience
- Publisher
- Annual Reviews
- Published
- 1988-03
- Volume
- 11
- Issue
- 1
- Pages
- 329-352
- ISSN
- 0147-006X (ISSN-L)
- 1545-4126
- OpenAlex
- W2175523146
- Semantic Scholar
- 1b438d1d8abd26e6aebd9199741b8c010e48ad0f
- Cited by
- 715
- References
- 37
- Citations by year
- 2026: 9 · 2025: 20 · 2024: 16 · 2023: 16 · 2022: 24 · 2021: 14 · 2020: 13 · 2019: 18 · 2018: 26 · 2017: 12 · 2016: 14 · 2015: 24 · 2014: 32 · 2013: 25 · 2012: 18
- FWCI
- 14.91
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Annual Review of Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- classical conditioning, behavioral research, default mode network, medial prefrontal cortex, parietal cortex, temporal cortex, associative learning
- MeSH terms
- Animals, Behavior, Animal, Conditioning, Classical, Learning, Research Design
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