Cited by 352Memory and Neural MechanismsSpatial Cognition and NavigationNeural dynamics and brain function

A Model of Spatial Map Formation in the Hippocampus of the Rat

Blum, Kenneth I., Abbott, L. F.·1996·Neural Computation

Abstract

Using experimental facts about long-term potentiation (LTP) and hippocampal place cells, we model how a spatial map of the environment can be created in the rat hippocampus. Sequential firing of place cells during exploration induces, in the model, a pattern of LTP between place cells that shifts the location coded by their ensemble activity away from the actual location of the animal. These shifts provide a navigational map that, in a simulation of the Morris maze, can guide the animal toward its goal. The model demonstrates how behaviorally generated modifications of synaptic strengths can be read out to affect subsequent behavior. Our results also suggest a way that navigational maps can be constructed from experimental recordings of hippocampal place cells.

Integrity signals

Registry

Crossref · 10.1162/neco.1996.8.1.85

Cites

33 of 33 references verified0 citation errors · 0 not checkable

Statistics

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

Claims the paper makes

We couldn’t retrieve this paper’s full text, 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?

  • A number of neurobiologically inspired, fully mechanistic computational models of navigational behavior have been developed to account for the ability of animals relying on allocentric frameworks to perform path planning without resorting to mentalistic explanations.

    “A number of neurobiologically inspired, fully mechanistic computational models of navigational behavior have been developed to account for the ability of animals relying on allocentric frameworks to perform path planning, without the need to resort to “mentalistic” explanations”

    From Spatial Cognition in Teleost Fish: Strategies and Mechanisms (2021) · cites this paper as [89]

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Blum, K. I., & Abbott, L. F.
Affiliations
Brandeis University (US)
Venue
Neural Computation
Publisher
MIT Press
Published
1996-01
Volume
8
Issue
1
Pages
85-93
ISSN
  • 0899-7667 (ISSN-L)
  • 1530-888X
OpenAlex
W2113273079
Cited by
352
References
33
Citations by year
2026: 8 · 2025: 10 · 2024: 8 · 2023: 29 · 2022: 8 · 2021: 12 · 2020: 9 · 2019: 8 · 2018: 7 · 2017: 8 · 2016: 10 · 2015: 9 · 2014: 8 · 2013: 8 · 2012: 9
FWCI
7.82
Type
journal article
Language
en
Open access
closed
Locations
  • Neural Computation (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Science Foundation
  • W. M. Keck Foundation
  • National Institute of Neurological Disorders and Stroke (NS07292., T32NS007292)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
  • Physical Sciences › Engineering › Automotive Engineering › Spatial Cognition and Navigation
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
Keywords
hippocampus, place cells, long-term potentiation, rat navigation, Morris water maze, synaptic plasticity, spatial navigation
MeSH terms
Action Potentials, Animals, Brain Mapping, Cognition, Hippocampus, Models, Neurological, Long-Term Potentiation, Maze Learning, Rats

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