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Remapping in a recurrent neural network model of navigation and context inference
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,...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10328512/ https://www.ncbi.nlm.nih.gov/pubmed/37410093 http://dx.doi.org/10.7554/eLife.86943 |
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author | Low, Isabel IC Giocomo, Lisa M Williams, Alex H |
author_facet | Low, Isabel IC Giocomo, Lisa M Williams, Alex H |
author_sort | Low, Isabel IC |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10328512 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-103285122023-07-08 Remapping in a recurrent neural network model of navigation and context inference Low, Isabel IC Giocomo, Lisa M Williams, Alex H eLife Neuroscience 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. eLife Sciences Publications, Ltd 2023-07-06 /pmc/articles/PMC10328512/ /pubmed/37410093 http://dx.doi.org/10.7554/eLife.86943 Text en © 2023, Low et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Neuroscience Low, Isabel IC Giocomo, Lisa M Williams, Alex H Remapping in a recurrent neural network model of navigation and context inference |
title | Remapping in a recurrent neural network model of navigation and context inference |
title_full | Remapping in a recurrent neural network model of navigation and context inference |
title_fullStr | Remapping in a recurrent neural network model of navigation and context inference |
title_full_unstemmed | Remapping in a recurrent neural network model of navigation and context inference |
title_short | Remapping in a recurrent neural network model of navigation and context inference |
title_sort | remapping in a recurrent neural network model of navigation and context inference |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10328512/ https://www.ncbi.nlm.nih.gov/pubmed/37410093 http://dx.doi.org/10.7554/eLife.86943 |
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