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Time-invariant working memory representations in the presence of code-morphing in the lateral prefrontal cortex
Maintenance of working memory is thought to involve the activity of prefrontal neuronal populations with strong recurrent connections. However, it was recently shown that distractors evoke a morphing of the prefrontal population code, even when memories are maintained throughout the delay. How can a...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6825148/ https://www.ncbi.nlm.nih.gov/pubmed/31676790 http://dx.doi.org/10.1038/s41467-019-12841-y |
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author | Parthasarathy, Aishwarya Tang, Cheng Herikstad, Roger Cheong, Loong Fah Yen, Shih-Cheng Libedinsky, Camilo |
author_facet | Parthasarathy, Aishwarya Tang, Cheng Herikstad, Roger Cheong, Loong Fah Yen, Shih-Cheng Libedinsky, Camilo |
author_sort | Parthasarathy, Aishwarya |
collection | PubMed |
description | Maintenance of working memory is thought to involve the activity of prefrontal neuronal populations with strong recurrent connections. However, it was recently shown that distractors evoke a morphing of the prefrontal population code, even when memories are maintained throughout the delay. How can a morphing code maintain time-invariant memory information? We hypothesized that dynamic prefrontal activity contains time-invariant memory information within a subspace of neural activity. Using an optimization algorithm, we found a low-dimensional subspace that contains time-invariant memory information. This information was reduced in trials where the animals made errors in the task, and was also found in periods of the trial not used to find the subspace. A bump attractor model replicated these properties, and provided predictions that were confirmed in the neural data. Our results suggest that the high-dimensional responses of prefrontal cortex contain subspaces where different types of information can be simultaneously encoded with minimal interference. |
format | Online Article Text |
id | pubmed-6825148 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-68251482019-11-04 Time-invariant working memory representations in the presence of code-morphing in the lateral prefrontal cortex Parthasarathy, Aishwarya Tang, Cheng Herikstad, Roger Cheong, Loong Fah Yen, Shih-Cheng Libedinsky, Camilo Nat Commun Article Maintenance of working memory is thought to involve the activity of prefrontal neuronal populations with strong recurrent connections. However, it was recently shown that distractors evoke a morphing of the prefrontal population code, even when memories are maintained throughout the delay. How can a morphing code maintain time-invariant memory information? We hypothesized that dynamic prefrontal activity contains time-invariant memory information within a subspace of neural activity. Using an optimization algorithm, we found a low-dimensional subspace that contains time-invariant memory information. This information was reduced in trials where the animals made errors in the task, and was also found in periods of the trial not used to find the subspace. A bump attractor model replicated these properties, and provided predictions that were confirmed in the neural data. Our results suggest that the high-dimensional responses of prefrontal cortex contain subspaces where different types of information can be simultaneously encoded with minimal interference. Nature Publishing Group UK 2019-11-01 /pmc/articles/PMC6825148/ /pubmed/31676790 http://dx.doi.org/10.1038/s41467-019-12841-y Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Parthasarathy, Aishwarya Tang, Cheng Herikstad, Roger Cheong, Loong Fah Yen, Shih-Cheng Libedinsky, Camilo Time-invariant working memory representations in the presence of code-morphing in the lateral prefrontal cortex |
title | Time-invariant working memory representations in the presence of code-morphing in the lateral prefrontal cortex |
title_full | Time-invariant working memory representations in the presence of code-morphing in the lateral prefrontal cortex |
title_fullStr | Time-invariant working memory representations in the presence of code-morphing in the lateral prefrontal cortex |
title_full_unstemmed | Time-invariant working memory representations in the presence of code-morphing in the lateral prefrontal cortex |
title_short | Time-invariant working memory representations in the presence of code-morphing in the lateral prefrontal cortex |
title_sort | time-invariant working memory representations in the presence of code-morphing in the lateral prefrontal cortex |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6825148/ https://www.ncbi.nlm.nih.gov/pubmed/31676790 http://dx.doi.org/10.1038/s41467-019-12841-y |
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