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Feature selectivity is stable in primary visual cortex across a range of spatial frequencies
Reliable perception of environmental signals is a critical first step to generating appropriate responses and actions in awake behaving animals. The extent to which stimulus features are stably represented at the level of individual neurons is not well understood. To address this issue, we investiga...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6191427/ https://www.ncbi.nlm.nih.gov/pubmed/30327571 http://dx.doi.org/10.1038/s41598-018-33633-2 |
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author | Jeon, Brian B. Swain, Alex D. Good, Jeffrey T. Chase, Steven M. Kuhlman, Sandra J. |
author_facet | Jeon, Brian B. Swain, Alex D. Good, Jeffrey T. Chase, Steven M. Kuhlman, Sandra J. |
author_sort | Jeon, Brian B. |
collection | PubMed |
description | Reliable perception of environmental signals is a critical first step to generating appropriate responses and actions in awake behaving animals. The extent to which stimulus features are stably represented at the level of individual neurons is not well understood. To address this issue, we investigated the persistence of stimulus response tuning over the course of 1–2 weeks in the primary visual cortex of awake, adult mice. Using 2-photon calcium imaging, we directly compared tuning stability to two stimulus features (orientation and spatial frequency) within the same neurons, specifically in layer 2/3 excitatory neurons. The majority of neurons that were tracked and tuned on consecutive imaging sessions maintained stable orientation and spatial frequency preferences (83% and 76% of the population, respectively) over a 2-week period. Selectivity, measured as orientation and spatial frequency bandwidth, was also stable. Taking into account all 4 parameters, we found that the proportion of stable neurons was less than two thirds (57%). Thus, a substantial fraction of neurons (43%) were unstable in at least one parameter. Furthermore, we found that instability of orientation preference was not predictive of instability of spatial frequency preference within the same neurons. Population analysis revealed that noise correlation values were stable well beyond the estimated decline in monosynaptic connectivity (~250–300 microns). Our results demonstrate that orientation preference is stable across a range of spatial frequencies and that the tuning of distinct stimulus features can be independently maintained within a single neuron. |
format | Online Article Text |
id | pubmed-6191427 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-61914272018-10-23 Feature selectivity is stable in primary visual cortex across a range of spatial frequencies Jeon, Brian B. Swain, Alex D. Good, Jeffrey T. Chase, Steven M. Kuhlman, Sandra J. Sci Rep Article Reliable perception of environmental signals is a critical first step to generating appropriate responses and actions in awake behaving animals. The extent to which stimulus features are stably represented at the level of individual neurons is not well understood. To address this issue, we investigated the persistence of stimulus response tuning over the course of 1–2 weeks in the primary visual cortex of awake, adult mice. Using 2-photon calcium imaging, we directly compared tuning stability to two stimulus features (orientation and spatial frequency) within the same neurons, specifically in layer 2/3 excitatory neurons. The majority of neurons that were tracked and tuned on consecutive imaging sessions maintained stable orientation and spatial frequency preferences (83% and 76% of the population, respectively) over a 2-week period. Selectivity, measured as orientation and spatial frequency bandwidth, was also stable. Taking into account all 4 parameters, we found that the proportion of stable neurons was less than two thirds (57%). Thus, a substantial fraction of neurons (43%) were unstable in at least one parameter. Furthermore, we found that instability of orientation preference was not predictive of instability of spatial frequency preference within the same neurons. Population analysis revealed that noise correlation values were stable well beyond the estimated decline in monosynaptic connectivity (~250–300 microns). Our results demonstrate that orientation preference is stable across a range of spatial frequencies and that the tuning of distinct stimulus features can be independently maintained within a single neuron. Nature Publishing Group UK 2018-10-16 /pmc/articles/PMC6191427/ /pubmed/30327571 http://dx.doi.org/10.1038/s41598-018-33633-2 Text en © The Author(s) 2018 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 Jeon, Brian B. Swain, Alex D. Good, Jeffrey T. Chase, Steven M. Kuhlman, Sandra J. Feature selectivity is stable in primary visual cortex across a range of spatial frequencies |
title | Feature selectivity is stable in primary visual cortex across a range of spatial frequencies |
title_full | Feature selectivity is stable in primary visual cortex across a range of spatial frequencies |
title_fullStr | Feature selectivity is stable in primary visual cortex across a range of spatial frequencies |
title_full_unstemmed | Feature selectivity is stable in primary visual cortex across a range of spatial frequencies |
title_short | Feature selectivity is stable in primary visual cortex across a range of spatial frequencies |
title_sort | feature selectivity is stable in primary visual cortex across a range of spatial frequencies |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6191427/ https://www.ncbi.nlm.nih.gov/pubmed/30327571 http://dx.doi.org/10.1038/s41598-018-33633-2 |
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