A layered network model of associative learning: learning to learn and configuration
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The layered connectionist model proposes that pavlovian conditioning does not produce a direct link between the CS and CR, but rather associates in separate layers the CS and CR with an intermediate element, X.
“The layered connectionist model proposes that pavlovian conditioning does not produce a direct link between the CS and CR, but rather associates in separate layers the CS and CR with an intermediate element, X.”
From Retrieval-Dependent Mechanisms Affecting Emotional Memory Persistence: Reconsolidation, Extinction, and the Space in Between (2020) · cites this paper as Kehoe, 1988
According to the layered connectionist view, extinction weakens the CS-X association, while leaving the X-CR association relatively intact.
“According to this view, extinction weakens the CS-X association, while leaving the X-CR association relatively intact.”
From Retrieval-Dependent Mechanisms Affecting Emotional Memory Persistence: Reconsolidation, Extinction, and the Space in Between (2020) · cites this paper as Kehoe, 1988
The hypothesis that extinction involves at least some alteration of the original memory fits well with layered connectionist and statistical models of learning.
“The hypothesis that extinction involves at least some alteration of the original memory also fits well with layered connectionist (Kehoe, 1988) and statistical models of learning (Dunsmoor et al., 2015; Gershman et al., 2017).”
From Retrieval-Dependent Mechanisms Affecting Emotional Memory Persistence: Reconsolidation, Extinction, and the Space in Between (2020) · cites this paper as Kehoe, 1988
Cites
Pearce, J. M., & Hall, G. (1980) · Psychological Review · doi:10.1037/0033-295x.87.6.532 · Cited by 3,023 · see citing works
Two-process learning theory: Relationships between Pavlovian conditioning and instrumental learning.
Rescorla, R. A., & Solomon, R. L. (1967) · Psychological Review · doi:10.1037/h0024475 · Cited by 1,487 · see citing works
Solomon, P. R., & Moore, J. W. (1975) · Journal of Comparative and Physiological Psychology · doi:10.1037/h0077183 · Cited by 473 · see citing works
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Context, time, and memory retrieval in the interference paradigms of Pavlovian learning
Bouton, M. E. (1993) · Psychological Bulletin · doi:10.1037/0033-2909.114.1.80 · Cited by 1,896 · see citing works
Context and Behavioral Processes in Extinction: Table 1.
Bouton, M. E. (2004) · Learning & Memory · doi:10.1101/lm.78804 · Cited by 1,808 · see citing works
Associative learning and animal cognition
Dickinson, A. (2012) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2012.0220 · Cited by 219 · see citing works
Vaverková, Z., Milton, A. L., & Merlo, E. (2020) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2020.574358 · Cited by 27 · see citing works
“The hypothesis that extinction involves at least some alteration of the original memory also fits well with layered connectionist (Kehoe, 1988) and statistical models of learning (Dunsmoor et al., 2015; Gershman et al., 2017).”
Background
- Authors
- Kehoe, E. J.
- Affiliations
- UNSW Sydney (AU)
- Corresponding author
- Kehoe, E. James
- ORCID
- Kehoe, E. James
- Venue
- Psychological Review
- Published
- 1988
- Volume
- 95
- Issue
- 4
- Pages
- 411-433
- ISSN
- 0033-295X (ISSN-L)
- 1939-1471
- OpenAlex
- W1994863141
- Cited by
- 270
- References
- 3
- Citations by year
- 2023: 4 · 2022: 4 · 2021: 1 · 2020: 4 · 2019: 3 · 2018: 5 · 2017: 4 · 2016: 2 · 2015: 3 · 2014: 6 · 2013: 8 · 2012: 5
- FWCI
- 19.51
- 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 › Memory Processes and Influences
- Physical Sciences › Computer Science › Artificial Intelligence › Neural Networks and Applications
- Keywords
- associative learning, layered network model, meta-learning, configuration, neural network model, memory retrieval, associative memory
- MeSH terms
- Animals, Association Learning, Cognition, Computer Simulation, Conditioning, Psychological, Form Perception, Humans, Learning, Models, Psychological, Pattern Recognition, Visual
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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.
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