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Conditioning and Associative Learning
Abstract
The study of conditioning in animals Classical and instrumental conditioning Theoretical analysis of classical conditioning Theoretical analysis of instrumental conditioning Appetitive and aversive reinforcement Avoidance learning Contiguity and contingency: excitatory and inhibitory conditioning Laws of association Discrimination learning References Indexes.
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Citations
Cited by
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Öhman, A., & Mineka, S. (2001) · Psychological Review · doi:10.1037/0033-295x.108.3.483 · Cited by 3,147
Dissociable Roles of Ventral and Dorsal Striatum in Instrumental Conditioning
O'Doherty, J., Dayan, P., Schultz, J., Deichmann, R., Friston, K., & Dolan, R. J. (2004) · Science · doi:10.1126/science.1094285 · Cited by 2,088
Emotion, attention, and the startle reflex
Lang, P. J., Bradley, M. M., & Cuthbert, B. N. (1990) · Psychological Review · doi:10.1037/0033-295x.97.3.377 · Cited by 2,205
A framework for mesencephalic dopamine systems based on predictive Hebbian learning
Montague, P., Dayan, P., & Sejnowski, T. (1996) · The Journal of Neuroscience · doi:10.1523/jneurosci.16-05-01936.1996 · Cited by 2,066
Emotion and motivation: the role of the amygdala, ventral striatum, and prefrontal cortex
Cardinal, R. N., Parkinson, J. A., Hall, J., & Everitt, B. J. (2002) · Neuroscience & Biobehavioral Reviews · doi:10.1016/s0149-7634(02)00007-6 · Cited by 2,129
Metadata
- Authors
- Hill, W. F., & Mackintosh, N. J.
- Venue
- The American Journal of Psychology
- Publisher
- University of Illinois Press
- Published
- 1984
- Volume
- 97
- Issue
- 3
- Pages
- 472
- ISSN
- 0002-9556 (ISSN-L)
- OpenAlex
- W2048732459
- Cited by
- 1,302
- References
- 0
- FWCI
- 38.85
- Type
- journal article
- Language
- en
- Open access
- closed
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- Hill, W. F., & Mackintosh, N. J. (1984). Conditioning and Associative Learning. The American Journal of Psychology. https://doi.org/10.2307/1422540
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.