Cited by 101Memory and Neural MechanismsNeurogenesis and neuroplasticity mechanismsNeural dynamics and brain function

Experience-dependent contextual codes in the hippocampus

Open access
Plitt, Mark H., Giocomo, Lisa M.·2021·Nature Neuroscience

Published version of a preprint

Abstract

The hippocampus contains neural representations capable of supporting declarative memory. Hippocampal place cells are one such representation, firing in one or few locations in a given environment. Between environments, place cell firing fields remap (turning on/off or moving to a new location) to provide a population-wide code for distinct contexts. However, the manner by which contextual features combine to drive hippocampal remapping remains a matter of debate. Using large-scale in vivo two-photon intracellular calcium recordings in mice during virtual navigation, we show that remapping in the hippocampal region CA1 is driven by prior experience regarding the frequency of certain contexts and that remapping approximates an optimal estimate of the identity of the current context. A simple associative-learning mechanism reproduces these results. Together, our findings demonstrate that place cell remapping allows an animal to simultaneously identify its physical location and optimally estimate the identity of the environment.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/s41593-021-00816-6

Cites

52 of 52 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

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?

  • To develop internal space-like maps from aliased sensations and egocentric actions, the learning agent has to appropriately split or merge sensations based on sequential contexts.

    “To develop internal space-like maps from these aliased sensations and egocentric actions (as illustrated in the sketch in Fig. 1A), the learning agent has to appropriately split or merge sensations based on sequential contexts (Fig. 1B) (12, 13).”

    From Space is a latent sequence: A theory of the hippocampus (2024) · cites this paper as [13]

    The Discussion (page unavailable) reports that prior experience predicts whether hippocampal spatial representations remap discretely or continuously, supporting the general idea that experience shapes context-dependent maps. It does not establish that a learning agent must split or merge aliased sensations based on sequential contexts or egocentric actions. (LLM, conf=0.82)

    Experimental — accuracy not yet measured
  • An animal's prior experience with an environment can shape how the hippocampus delineates these categories.

    “Related experimental work demonstrates that an animal’s prior experience with an environment can shape how the hippocampus delineates these categories (Plitt and Giocomo, 2021)”

    From Remapping in a recurrent neural network model of navigation and context inference (2023) · cites this paper as Plitt and Giocomo, 2021

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 1

  1. [15]Rolls ET in The Neural and Molecular Bases of Learning (eds Changeux J-P & Konishi M) 503– 540 (Wiley, 1987).

Cited by

Sorted by citations

Authors
Plitt, M. H., & Giocomo, L. M.
Affiliations
Stanford Medicine (US)
Corresponding author
  • Plitt, Mark H.
  • Giocomo, Lisa M.
Venue
Nature Neuroscience
Published
2021-03-22
Volume
24
Issue
5
Pages
705-714
ISSN
  • 1097-6256 (ISSN-L)
  • 1546-1726
OpenAlex
W3136745559
Cited by
101
References
52
Citations by year
2026: 10 · 2025: 18 · 2024: 14 · 2023: 31 · 2022: 15 · 2021: 9 · 2020: 4
FWCI
9.05
Type
journal article
Language
en
Open access
Locations
  • Nature Neuroscience (publishedVersion)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • eScholarship (California Digital Library) (submittedVersion)
Funders
  • New York Stem Cell Foundation
  • United States Department of Defense | United States Navy | Office of Naval Research (N00141812690)
  • Simons Foundation (542987SPI)
  • Vallee Foundation
  • National Science Foundation
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
  • Life Sciences › Neuroscience › Developmental Neuroscience › Neurogenesis and neuroplasticity mechanisms
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
Keywords
hippocampus, place cells, CA1, virtual navigation, associative learning, probabilistic inference, spatial memory, virtual reality, calcium imaging
MeSH terms
Animals, Female, Hippocampus, Male, Neurons, Maze Learning, Mice, CA1 Region, Hippocampal

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