Cited by 434Spatial Cognition and NavigationMemory and Neural MechanismsVestibular and auditory disorders

Spatial cognitive maps in animals: New hypotheses on their structure and neural mechanisms.

Poucet, Bruno·1993·Psychological Review

Abstract

This article provides a hierarchical model of animal spatial cognitive maps. Such maps include both topological information, which affords loose, yet operational, representations of the connectivity of space and its overall arrangement, and metric information, which provides information about angles and distances. The model holds that maps can be initially described as a set of location-dependent reference frameworks providing directional information about other locations. The addition of an overall directional reference allows for the buildup of more complete (allocentric) representations. A survey of recent neurobiological data provides some hints about the brain structures involved in these processes and suggests that the hippocampal formation and the posterior parietal cortex would act differently by handling topological and metric information, respectively.

Integrity signals

Registry

Crossref · 10.1037/0033-295x.100.2.163

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • As a whole, these results indicate that teleost fish, like mammals, birds, and reptilians, can use allocentric strategies to solve spatial tasks.

    “As a whole, these results indicate that teleost fish, like mammals [39,48,65,68,96], birds [97,98,99,100], and reptilians [101,102], can use allocentric strategies to solve spatial tasks.”

    From Spatial Cognition in Teleost Fish: Strategies and Mechanisms (2021) · cites this paper as [48]

  • The influence of stored knowledge on segmentation of environments into subregions is suggested by studies showing that human spatial representations are prone to systematic biases and may be hierarchically organized, similar to semantic and event knowledge.

    “The influence of stored knowledge on segmentation of environments into subregions is suggested by studies showing that human spatial representations are prone to systematic biases 136,137 and may be hierarchically organized, similar to semantic and event knowledge 133,138,139 .”

    From From cognitive maps to spatial schemas (2023) · cites this paper as [137]

The citation lists haven’t been fetched yet

References 108 · Cited by 434

Authors
Poucet, B.
Affiliations
Centre National de la Recherche Scientifique (FR)
Corresponding author
Poucet, Bruno
Venue
Psychological Review
Published
1993
Volume
100
Issue
2
Pages
163-182
ISSN
  • 0033-295X (ISSN-L)
  • 1939-1471
OpenAlex
W2003257293
Cited by
434
References
108
Citations by year
2026: 10 · 2025: 7 · 2024: 17 · 2023: 13 · 2022: 10 · 2021: 19 · 2020: 11 · 2019: 8 · 2018: 12 · 2017: 17 · 2016: 6 · 2015: 12 · 2014: 17 · 2013: 15 · 2012: 6
FWCI
33.32
Type
journal article
Language
en
Open access
closed
Locations
  • Psychological Review (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Physical Sciences › Engineering › Automotive Engineering › Spatial Cognition and Navigation
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
  • Life Sciences › Neuroscience › Neurology › Vestibular and auditory disorders
Keywords
topological maps, metric maps, allocentric spatial representation, hippocampal formation, posterior parietal cortex, spatial navigation
MeSH terms
Animals, Attention, Brain, Brain Mapping, Distance Perception, Hippocampus, Orientation, Parietal Lobe, Mental Recall, Space Perception

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.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review