The Role of Associative History in Models of Associative Learning: A Selective Review and a Hybrid Model
Abstract
Associative learning theories strive to capture the processes underlying and driving the change in strength of the associations between representations of stimuli that develop as a result of experience of the predictive relationships between those stimuli. Historically, formal models of associative learning have focused on two potential factors underlying associative change, namely processing of the conditioned stimulus (in terms of changes in associability) and processing of the unconditioned stimulus (in terms of changes in error). This review constitutes an analysis of the proper role of these two factors, specifically with regard to the way in which they are influenced by associative history (the prior training undergone by cues). A novel “hybrid” model of associative learning is proposed and is shown to provide a more satisfactory account of the effects of associative history on subsequent learning than any previous single-process theory.
Integrity signals
Registry
Cites
Statistics
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?
Mackintosh's attention rule is consistent with a number of results, and contemporary approaches to attention and learning suppose that both the Mackintosh and Pearce-Hall rules can play a role in any situation.
“Mackintosh’s attention rule is consistent with a number of results (e.g., Le Pelley et al., 2016; Pearce & Mackintosh, 2010), and contemporary approaches to attention and learning now suppose that both the Mackintosh and Pearce-Hall rules can play a role in any situation (e.g., Le Pelley, 2004; Pearce & Mackintosh, 2010; see Chao et al., 2021, for recent discussion).”
From Context, attention, and the switch between habit and goal-direction in behavior (2021) · cites this paper as Le Pelley, 2004
The citation lists haven’t been fetched yet
References 99 · Cited by 360
- Authors
- Le Pelley, M. E.
- Affiliations
- Cardiff University, Cardiff, UK
- Venue
- The Quarterly Journal of Experimental Psychology Section B
- Publisher
- SAGE Publications
- Published
- 2004-07
- Volume
- 57
- Issue
- 3b
- Pages
- 193-243
- ISSN
- 0272-4995 (ISSN-L)
- 1464-1321
- OpenAlex
- W2107093729
- Cited by
- 360
- References
- 99
- Citations by year
- 2026: 14 · 2025: 9 · 2024: 14 · 2023: 15 · 2022: 9 · 2021: 22 · 2020: 19 · 2019: 19 · 2018: 28 · 2017: 35 · 2016: 26 · 2015: 15 · 2014: 17 · 2013: 26 · 2012: 24
- FWCI
- 0.34
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The Quarterly Journal of Experimental Psychology Section B (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
- associative learning, conditioned stimulus, unconditioned stimulus, associability, error, prior training, hybrid learning model, predictive relationships
- MeSH terms
- Association Learning, Conditioning, Classical, Humans, Models, Psychological, Psychological Theory
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
