Rescorla-Wagner Model
The Rescorla-Wagner Model is a quantitative theory of associative learning that predicts how organisms learn associations between stimuli (e.g., tone and shock in fear conditioning). The model proposes that learning is driven by prediction error—the difference between what is expected to occur and what actually occurs. When prediction error is large, learning is rapid; when prediction error is small, learning slows. The model captures asymptotic learning curves, blocking effects, and stimulus interactions, providing a principled framework for understanding learning dynamics.
Source record
Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.
- Rescorla, R. A., & Wagner, A. R. (1972). A theory of Pavlovian conditioning: Variations in the effectiveness of reinforcement and non-reinforcement. In A. H. Black & W. F. Prokasy (Eds.), Classical conditioning II (pp. 64-99). Appleton-Century-Crofts. · URL
- Simonetta, S. H., Schaafsma, S. M., & Meffert, H. (2010). The Rescorla-Wagner model of Pavlovian conditioning: Some current issues and applications. Neuroscience & Biobehavioral Reviews, 34(6), 821-835. · URL
- Gluck, M. A., & Myers, C. E. (1993). Hippocampal mediation of stimulus representation: A computational theory. Hippocampus, 3(4), 491-516. · DOI 10.1002/hipo.450030410
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