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Cited by 1,100Memory and Neural MechanismsMemory Processes and InfluencesNeuroscience and Neuropharmacology Research

Long-axis specialization of the human hippocampus

Poppenk, Jordan, Evensmoen, Hallvard R., Moscovitch, Morris, Nadel, Lynn·2013·Trends in Cognitive Sciences
DOI 10.1016/j.tics.2013.03.005
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Abstract

Investigation of the hippocampus has historically focused on computations within the trisynaptic circuit. However, discovery of important anatomical and functional variability along its long axis has inspired recent proposals of long-axis functional specialization in both the animal and human literatures. Here, we review and evaluate these proposals. We suggest that various long-axis specializations arise out of differences between the anterior (aHPC) and posterior hippocampus (pHPC) in large-scale network connectivity, the organization of entorhinal grid cells, and subfield compositions that bias the aHPC and pHPC towards pattern completion and separation, respectively. The latter two differences give rise to a property, reflected in the expression of multiple other functional specializations, of coarse, global representations in anterior hippocampus and fine-grained, local representations in posterior hippocampus.

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Crossref · 10.1016/j.tics.2013.03.005

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  • One possible explanation for the different engagement of the posterior and anterior HPC in generalization relates to spatial scale, with the posterior HPC encoding room or junction spaces, and the anterior HPC encoding large-scale (outdoor) spaces.

    “One possible explanation for the different engagement of the posterior and anterior HPC in generalization relates to spatial scale, with the posterior HPC encoding room or junction spaces, and the anterior HPC encoding large-scale (outdoor) spaces 76 .”

    From From cognitive maps to spatial schemas (2023) · cites this paper as [76]

  • MTT/TTT predicts that the hippocampus, and in particular the posterior hippocampus, would play a more important role if detailed processing is required.

    “with MTT/TTT predicting that the hippocampus, and in particular the posterior hippocampus, would play a more important role if detailed processing is required (Poppenk et al. 2013).”

    From Hippocampal and Retrosplenial Goal Distance Coding After Long-term Consolidation of a Real-World Environment (2019) · cites this paper as Poppenk et al. 2013

  • The posterior locus of hippocampal activity found here agrees with the view that posterior hippocampus processes fine detail, such as spatial metric information.

    “and the posterior locus agrees with the view that posterior hippocampus processes fine detail, such as spatial metric information (Poppenk et al. 2013).”

    From Hippocampal and Retrosplenial Goal Distance Coding After Long-term Consolidation of a Real-World Environment (2019) · cites this paper as Poppenk et al. 2013

  • Posterior hippocampus contributed equally to subsequent hits and false alarms, consistent with its role in representing detailed contextual information that more generally supports recollection.

    “In contrast, posterior hippocampus contributed equally to subsequent hits and false alarms, consistent with its role in representing detailed contextual information that more generally supports recollection (59).”

    From Neural mechanisms of reactivation-induced updating that enhance and distort memory (2013) · cites this paper as [59]

  • The hippocampus and vmPFC support flexible memory processes that allow memories to be combined and used in novel ways and contribute to memory updating.

    “A related line of research suggests that the hippocampus and ventromedial prefrontal cortex (vmPFC) support flexible memory processes that allow memories to be combined and used in novel ways, and that contribute to memory updating.”

    From Neural mechanisms of reactivation-induced updating that enhance and distort memory (2013) · cites this paper as [59]

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Authors
Poppenk, J., Evensmoen, H. R., Moscovitch, M., & Nadel, L.
Affiliations
  • Princeton University (US)
  • Norwegian University of Science and Technology (NO)
  • University of Toronto (CA)
  • University of Arizona (US)
Corresponding author
  • Poppenk, Jordan
  • Moscovitch, Morris
  • Nadel, Lynn
ORCID
Venue
Trends in Cognitive Sciences
Publisher
Elsevier BV
Published
2013-05
Volume
17
Issue
5
Pages
230-240
ISSN
1364-6613 (ISSN-L)
DOI
10.1016/j.tics.2013.03.005
OpenAlex
W2072427931
Cited by
1,100
References
110
Citations by year
2026: 93 · 2025: 88 · 2024: 96 · 2023: 87 · 2022: 68 · 2021: 110 · 2020: 110 · 2019: 88 · 2018: 78 · 2017: 76 · 2016: 71 · 2015: 67 · 2014: 46 · 2013: 20 · 2012: 1
FWCI
5.78
Type
journal article
Language
en
Open access
closed
Locations
  • Trends in Cognitive Sciences (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Memory Processes and Influences
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
Keywords
hippocampus, anterior hippocampus, posterior hippocampus, trisynaptic circuit, pattern completion, pattern separation, hippocampal subfields, spatial representation, functional specialization
MeSH terms
Animals, Brain Mapping, Hippocampus, Humans, Functional Laterality, Models, Neurological, Nerve Net, Mental Recall

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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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