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Dynamic and stable population coding of attentional instructions coexist in the prefrontal cortex
A large body of recent work suggests that neural representations in prefrontal cortex (PFC) are changing over time to adapt to task demands. However, it remains unclear whether and how such dynamic coding schemes depend on the encoded variable and are influenced by anatomical constraints. Using a cu...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9546529/ https://www.ncbi.nlm.nih.gov/pubmed/36161937 http://dx.doi.org/10.1073/pnas.2202564119 |
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author | Sapountzis, Panagiotis Paneri, Sofia Papadopoulos, Sotirios Gregoriou, Georgia G. |
author_facet | Sapountzis, Panagiotis Paneri, Sofia Papadopoulos, Sotirios Gregoriou, Georgia G. |
author_sort | Sapountzis, Panagiotis |
collection | PubMed |
description | A large body of recent work suggests that neural representations in prefrontal cortex (PFC) are changing over time to adapt to task demands. However, it remains unclear whether and how such dynamic coding schemes depend on the encoded variable and are influenced by anatomical constraints. Using a cued attention task and multivariate classification methods, we show that neuronal ensembles in PFC encode and retain in working memory spatial and color attentional instructions in an anatomically specific manner. Spatial instructions could be decoded both from the frontal eye field (FEF) and the ventrolateral PFC (vlPFC) population, albeit more robustly from FEF, whereas color instructions were decoded more robustly from vlPFC. Decoding spatial and color information from vlPFC activity in the high-dimensional state space indicated stronger dynamics for color, across the cue presentation and memory periods. The change in the color code was largely due to rapid changes in the network state during the transition to the delay period. However, we found that dynamic vlPFC activity contained time-invariant color information within a low-dimensional subspace of neural activity that allowed for stable decoding of color across time. Furthermore, spatial attention influenced decoding of stimuli features profoundly in vlPFC, but less so in visual area V4. Overall, our results suggest that dynamic population coding of attentional instructions within PFC is shaped by anatomical constraints and can coexist with stable subspace coding that allows time-invariant decoding of information about the future target. |
format | Online Article Text |
id | pubmed-9546529 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-95465292023-03-26 Dynamic and stable population coding of attentional instructions coexist in the prefrontal cortex Sapountzis, Panagiotis Paneri, Sofia Papadopoulos, Sotirios Gregoriou, Georgia G. Proc Natl Acad Sci U S A Biological Sciences A large body of recent work suggests that neural representations in prefrontal cortex (PFC) are changing over time to adapt to task demands. However, it remains unclear whether and how such dynamic coding schemes depend on the encoded variable and are influenced by anatomical constraints. Using a cued attention task and multivariate classification methods, we show that neuronal ensembles in PFC encode and retain in working memory spatial and color attentional instructions in an anatomically specific manner. Spatial instructions could be decoded both from the frontal eye field (FEF) and the ventrolateral PFC (vlPFC) population, albeit more robustly from FEF, whereas color instructions were decoded more robustly from vlPFC. Decoding spatial and color information from vlPFC activity in the high-dimensional state space indicated stronger dynamics for color, across the cue presentation and memory periods. The change in the color code was largely due to rapid changes in the network state during the transition to the delay period. However, we found that dynamic vlPFC activity contained time-invariant color information within a low-dimensional subspace of neural activity that allowed for stable decoding of color across time. Furthermore, spatial attention influenced decoding of stimuli features profoundly in vlPFC, but less so in visual area V4. Overall, our results suggest that dynamic population coding of attentional instructions within PFC is shaped by anatomical constraints and can coexist with stable subspace coding that allows time-invariant decoding of information about the future target. National Academy of Sciences 2022-09-26 2022-10-04 /pmc/articles/PMC9546529/ /pubmed/36161937 http://dx.doi.org/10.1073/pnas.2202564119 Text en Copyright © 2022 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/This article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Biological Sciences Sapountzis, Panagiotis Paneri, Sofia Papadopoulos, Sotirios Gregoriou, Georgia G. Dynamic and stable population coding of attentional instructions coexist in the prefrontal cortex |
title | Dynamic and stable population coding of attentional instructions coexist in the prefrontal cortex |
title_full | Dynamic and stable population coding of attentional instructions coexist in the prefrontal cortex |
title_fullStr | Dynamic and stable population coding of attentional instructions coexist in the prefrontal cortex |
title_full_unstemmed | Dynamic and stable population coding of attentional instructions coexist in the prefrontal cortex |
title_short | Dynamic and stable population coding of attentional instructions coexist in the prefrontal cortex |
title_sort | dynamic and stable population coding of attentional instructions coexist in the prefrontal cortex |
topic | Biological Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9546529/ https://www.ncbi.nlm.nih.gov/pubmed/36161937 http://dx.doi.org/10.1073/pnas.2202564119 |
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