The DOI matches its Crossref record; 222 of the 227 references it cites were found in a registry or an index, and 1 are not checked yet.
Pattern separation, completion, and categorisation in the hippocampus and neocortex
Abstract
The mechanisms for pattern completion and pattern separation are described in the context of a theory of hippocampal function in which the hippocampal CA3 system operates as a single attractor or autoassociation network to enable rapid, one-trial, associations between any spatial location (place in rodents, or spatial view in primates) and an object or reward, and to provide for completion of the whole memory during recall from any part. The factors important in the pattern completion in CA3 and also a large number of independent memories stored in CA3 include: a sparse distributed representation, representations that are independent due to the randomizing effect of the mossy fibres, heterosynaptic long-term depression as well as long-term potentiation in the recurrent collateral synapses, and diluted connectivity to minimize the number of multiple synapses between any pair of CA3 neurons which otherwise distort the basins of attraction. Recall of information from CA3 is implemented by the entorhinal cortex perforant path synapses to CA3 cells, which in acting as a pattern associator allow some pattern generalization. Pattern separation is performed in the dentate granule cells using competitive learning to convert grid-like entorhinal cortex firing to place-like fields, and in the dentate to CA3 connections that have diluted connectivity. Recall to the neocortex is achieved by a reverse hierarchical series of pattern association networks implemented by the hippocampo-cortical backprojections, each one of which performs some pattern generalization, to retrieve a complete pattern of cortical firing in higher-order cortical areas. New results on competitive networks show which factors contribute to their ability to perform pattern separation, pattern clustering, and pattern categorisation, and how these apply in different hippocampal and neocortical systems.
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“This feature seems to depend on a pattern completion mechanism that is able to reinstate complete memories after partial cueing, based on the operation of hippocampal autoassociative neural networks”
From Spatial Cognition in Teleost Fish: Strategies and Mechanisms (2021) · cites this paper as [81]
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“…circuit in humans (Rogers Flattery et al. 2020) are shown in (b), and indicate very many dentate granule cells, consistent with expansion encoding and the production of sparse uncorrelated representations prior to CA3 (Rolls 2016, 2021a). of the episodic memory by pattern association retrieval.”
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Metadata
- Authors
- Rolls, E. T.
- Affiliations
- University of Warwick (GB)
- Corresponding author
- Rolls, Edmund T.
- ORCID
- Rolls, Edmund T.
- Venue
- Neurobiology of Learning and Memory
- Publisher
- Elsevier BV
- Published
- 2016-03
- Volume
- 129
- Pages
- 4-28
- ISSN
- 1074-7427 (ISSN-L)
- OpenAlex
- W889908523
- Semantic Scholar
- dee8fed2414a8b21d9bf5724732f82ca2356190b
- Cited by
- 234
- References
- 227
- Citations by year
- 2026: 28 · 2025: 25 · 2024: 29 · 2023: 24 · 2022: 19 · 2021: 29 · 2020: 18 · 2019: 21 · 2018: 17 · 2017: 15 · 2016: 9
- FWCI
- 8.22
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Neurobiology of Learning and Memory (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Medical Research Council
- Human Frontier Science Program
- EEC BRAIN
- MRC Oxford Interdisciplinary Research Centre in Cognitive Neuroscience
- Oxford McDonnell-Pew Centre in Cognitive Neuroscience
- Oxford Centre for Computational Neuroscience
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Keywords
- pattern separation, pattern completion, hippocampus, CA3, dentate gyrus, neocortex, attractor networks, sparse distributed representations, mossy fibers, long-term potentiation, perforant path, entorhinal cortex, place cells, grid cells, competitive learning, pattern generalization, memory retrieval
- MeSH terms
- Animals, Association Learning, Humans, Models, Neurological, Neural Pathways, Neurons, Mental Recall, Synapses, Neocortex, Pattern Recognition, Physiological, CA3 Region, Hippocampal
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