A mismatch-based model for memory reconsolidation and extinction in attractor networks
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The processes of memory reconsolidation and extinction have received increasing attention in recent experimental research, as their potential clinical applications begin to be uncovered. A number of studies suggest that amnestic drugs injected after reexposure to a learning context can disrupt either of the two processes, depending on the behavioral protocol employed. Hypothesizing that reconsolidation represents updating of a memory trace in the hippocampus, while extinction represents formation of a new trace, we have built a neural network model in which either simple retrieval, reconsolidation or extinction of a stored attractor can occur upon contextual reexposure, depending on the similarity between the representations of the original learning and reexposure sessions. This is achieved by assuming that independent mechanisms mediate Hebbian-like synaptic strengthening and mismatch-driven labilization of synaptic changes, with protein synthesis inhibition preferentially affecting the former. Our framework provides a unified mechanistic explanation for experimental data showing (a) the effect of reexposure duration on the occurrence of reconsolidation or extinction and (b) the requirement of memory updating during reexposure to drive reconsolidation.
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Destabilisation of the original CS-US memory at retrieval relies upon a specific amount of prediction error-enough for the original memory to be sufficiently inaccurate to require updating, but not so much that the experience is consolidated as a new memory.
“Studies in both vertebrates and invertebrates have shown that destabilisation of the original CS-US memory at retrieval relies upon a specific amount of prediction error—enough for the original memory to be sufficiently inaccurate to require updating, but not so much that the experience is consolidated as a new memory (see Osan et al., 2011; Gershman et al., 2017 for computational perspectives on”
From Retrieval-Dependent Mechanisms Affecting Emotional Memory Persistence: Reconsolidation, Extinction, and the Space in Between (2020) · cites this paper as Osan et al., 2011
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- Authors
- Osan, R., Tort, A. B. L., & Amaral, O. B.
- Affiliations
- Boston University (US)
- Universidade Federal do Rio Grande do Norte (BR)
- Universidade Federal do Rio de Janeiro (BR)
- Corresponding author
- Amaral, Olavo B.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2011-08-03
- Volume
- 6
- Issue
- 8
- Pages
- e23113
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC3149635
- OpenAlex
- W2081961955
- Cited by
- 63
- References
- 98
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 1 · 2023: 1 · 2022: 4 · 2021: 4 · 2020: 4 · 2019: 2 · 2018: 7 · 2017: 4 · 2016: 8 · 2015: 9 · 2014: 4 · 2013: 6 · 2012: 6
- FWCI
- 2.60
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS ONE (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) (publishedVersion, other-oa)
- LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (publishedVersion, other-oa)
- Americanae (AECID Library) (submittedVersion, other-oa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Figshare (submittedVersion, cc-by)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory Processes and Influences
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- memory reconsolidation, memory extinction, attractor networks, neural network model, hippocampus, protein synthesis inhibition
- MeSH terms
- Humans, Memory, Models, Theoretical
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