Pattern separation, pattern completion, and new neuronal codes within a continuous CA3 map
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The hippocampal CA3 subregion is critical for rapidly encoding new memories, which suggests that neuronal computations are implemented in its circuitry that cannot be performed elsewhere in the hippocampus or in the neocortex. Recording studies show that CA3 cells are bound to a large degree to a spatial coordinate system, while CA1 cells can become more independent of a map-based mechanism and allow for a larger degree of arbitrary associations, also in the temporal domain. The mapping of CA3 onto a spatial coordinate system intuitively points to its role in spatial navigation but does not directly suggest how such a mechanism may support memory processing. Although bound to spatial coordinates, the CA3 network can rapidly alter its firing rate in response to novel sensory inputs and is thus not as strictly tied to spatial mapping as grid cells in the medial entorhinal cortex. Such rate coding within an otherwise stable spatial map can immediately incorporate new sensory inputs into the two-dimensional matrix of CA3, where they can be integrated with already stored information about each place. CA3 cell ensembles may thus support the fast acquisition of detailed memories by providing a locally continuous, but globally orthogonal representation, which can rapidly provide a new neuronal index when information is encountered for the first time. This information can be interpreted in CA1 and other downstream cortical areas in the context of less spatially restricted information.
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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.
“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 [78]
According to mechanistic models of hippocampal memory function, the hippocampal neural network can shift between encoding and retrieval modes depending on the novelty degree of incoming spatial information.
“Thus, according to the mechanistic models of hippocampal memory function, the hippocampal neural network can shift between two functional modes, encoding and retrieval, depending on the novelty degree of the incoming spatial information [77,78,79].”
From Spatial Cognition in Teleost Fish: Strategies and Mechanisms (2021) · cites this paper as [78]
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- Authors
- Leutgeb, S., & Leutgeb, J. K.
- Affiliations
- Norwegian University of Science and Technology (NO)
- Venue
- Learning & Memory
- Publisher
- Cold Spring Harbor Laboratory
- Published
- 2007-11-14
- Volume
- 14
- Issue
- 11
- Pages
- 745-757
- ISSN
- 1072-0502 (ISSN-L)
- OpenAlex
- W2134946041
- Cited by
- 234
- References
- 162
- Citations by year
- 2026: 8 · 2025: 10 · 2024: 8 · 2023: 10 · 2022: 9 · 2021: 10 · 2020: 5 · 2019: 20 · 2018: 19 · 2017: 21 · 2016: 19 · 2015: 20 · 2014: 13 · 2013: 13 · 2012: 18
- Type
- posted content
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Learning & Memory (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Norges Forskningsråd
- 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
- hippocampal CA3, pattern separation, pattern completion, spatial maps, rate coding, memory encoding, CA1, spatial navigation, grid cells, entorhinal cortex, orthogonal representations
- MeSH terms
- Animals, Brain Mapping, Hippocampus, Humans, Memory, Neural Pathways
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.
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