Evidence map›Paper›PMID 37410093›Full record

ArticleeLife2023

Remapping in a recurrent neural network model of navigation and context inference.

Isabel I C Low, Lisa M Giocomo, Alex H Williams

Abstract read
In one paragraph

Article in eLife, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
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

13 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Isabel I C LowZuckerman Mind Brain Behavior Institute, Columbia University, New York, United States.ORCID 0000-0001-6465-8459
Lisa M GiocomoDepartment of Neurobiology, Stanford University, Stanford, United States.ORCID 0000-0003-0416-2528
Alex H WilliamsCenter for Computational Neuroscience, Flatiron Institute, New York, United States.ORCID 0000-0001-5853-103X

Funding

Resource Core 3 - Teaching/Training/Dissemination Core (TTDC)U19NS118284 · NINDS · STANFORD UNIVERSITY · PI DEISSEROTH, KARL A., GIOCOMO, LISA · 2021 to 2025
$18.1M
Training Program in Basic NeuroscienceT32MH020016 · NIMH · STANFORD UNIVERSITY · PI Justin L Gardner, Merritt C Maduke · 1997 to 2026
$16.2M
The Dynamics of Neural Representations for Distinct Spatial Contexts and Memory EpisodesR01MH126904 · NIMH · STANFORD UNIVERSITY · PI Lisa Giocomo · 2022 to 2026
$2.0M
NIMH NIH HHS 1R01MH126904-01A1NIMH NIH HHS R01 MH126904NIMH NIH HHS T32 MH020016NIMH NIH HHS U19NS118284NINDS NIH HHS U19 NS118284
6 · The paper itself

Abstract

Neurons in navigational brain regions provide information about position, orientation, and speed relative to environmental landmarks. These cells also change their firing patterns ('remap') in response to changing contextual factors such as environmental cues, task conditions, and behavioral states, which influence neural activity throughout the brain. How can navigational circuits preserve their local computations while responding to global context changes? To investigate this question, we trained recurrent neural network models to track position in simple environments while at the same time reporting transiently-cued context changes. We show that these combined task constraints (navigation and context inference) produce activity patterns that are qualitatively similar to population-wide remapping in the entorhinal cortex, a navigational brain region. Furthermore, the models identify a solution that generalizes to more complex navigation and inference tasks. We thus provide a simple, general, and experimentally-grounded model of remapping as one neural circuit performing both navigation and context inference.

Indexed as

Entorhinal CortexSpatial NavigationBrainBrain MappingCuesNeural Networks, Computerattractor manifoldsdynamic codinglatent statemedial entorhinal cortexmousenavigationneuroscienceRecurrent neural network models

Identifiers

PMID37410093
PMCPMC10328512

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.