Evidence map›Paper›PMID 33753945›Full record

ArticleNature neuroscience2021

Experience-dependent contextual codes in the hippocampus.

Mark H Plitt, Lisa M Giocomo

Open access · greenAbstract read
In one paragraph

Article in Nature neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
8.4field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

49 citing papers in PubMed, 97 citations in OpenAlex.

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  10. Learning neural dynamics through instructive signals.bioRxiv : the preprint server for biology · 2025
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  17. Learning reshapes the hippocampal representation hierarchy.Proceedings of the National Academy of Sciences of the United States of America · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Mark H PlittDepartment of Neurobiology, Stanford University, Stanford, CA, USA. mplitt@stanford.edu.ORCID http://orcid.org/0000-0002-7154-6292
Lisa M GiocomoDepartment of Neurobiology, Stanford University, Stanford, CA, USA. giocomo@stanford.edu.ORCID http://orcid.org/0000-0003-0416-2528
Stanford Medicine · US

Funding

Training Program in Basic NeuroscienceT32MH020016 · NIMH · STANFORD UNIVERSITY · PI Justin L Gardner, Merritt C Maduke · 1997 to 2026
$16.2M
Spatial Codes Across the Medial Entorhinal Cortex for Memory and NavigationR56MH106475 · NIMH · STANFORD UNIVERSITY · PI GIOCOMO, LISA · 2020 to 2020
$398k
NIMH NIH HHS R56 MH106475NIMH NIH HHS T32 MH020016
6 · The paper itself

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.

Indexed as

AnimalsCA1 Region, HippocampalFemaleHippocampusMaleMaze LearningMiceNeurons

Identifiers

PMID33753945
PMCPMC8893323
OpenAlexW3136745559

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.