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Population coding of conditional probability distributions in dorsal premotor cortex
Our bodies and the environment constrain our movements. For example, when our arm is fully outstretched, we cannot extend it further. More generally, the distribution of possible movements is conditioned on the state of our bodies in the environment, which is constantly changing. However, little is...
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/PMC5934453/ https://www.ncbi.nlm.nih.gov/pubmed/29725023 http://dx.doi.org/10.1038/s41467-018-04062-6 |
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author | Glaser, Joshua I. Perich, Matthew G. Ramkumar, Pavan Miller, Lee E. Kording, Konrad P. |
author_facet | Glaser, Joshua I. Perich, Matthew G. Ramkumar, Pavan Miller, Lee E. Kording, Konrad P. |
author_sort | Glaser, Joshua I. |
collection | PubMed |
description | Our bodies and the environment constrain our movements. For example, when our arm is fully outstretched, we cannot extend it further. More generally, the distribution of possible movements is conditioned on the state of our bodies in the environment, which is constantly changing. However, little is known about how the brain represents such distributions, and uses them in movement planning. Here, we record from dorsal premotor cortex (PMd) and primary motor cortex (M1) while monkeys reach to randomly placed targets. The hand’s position within the workspace creates probability distributions of possible upcoming targets, which affect movement trajectories and latencies. PMd, but not M1, neurons have increased activity when the monkey’s hand position makes it likely the upcoming movement will be in the neurons’ preferred directions. Across the population, PMd activity represents probability distributions of individual upcoming reaches, which depend on rapidly changing information about the body’s state in the environment. |
format | Online Article Text |
id | pubmed-5934453 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-59344532018-05-07 Population coding of conditional probability distributions in dorsal premotor cortex Glaser, Joshua I. Perich, Matthew G. Ramkumar, Pavan Miller, Lee E. Kording, Konrad P. Nat Commun Article Our bodies and the environment constrain our movements. For example, when our arm is fully outstretched, we cannot extend it further. More generally, the distribution of possible movements is conditioned on the state of our bodies in the environment, which is constantly changing. However, little is known about how the brain represents such distributions, and uses them in movement planning. Here, we record from dorsal premotor cortex (PMd) and primary motor cortex (M1) while monkeys reach to randomly placed targets. The hand’s position within the workspace creates probability distributions of possible upcoming targets, which affect movement trajectories and latencies. PMd, but not M1, neurons have increased activity when the monkey’s hand position makes it likely the upcoming movement will be in the neurons’ preferred directions. Across the population, PMd activity represents probability distributions of individual upcoming reaches, which depend on rapidly changing information about the body’s state in the environment. Nature Publishing Group UK 2018-05-03 /pmc/articles/PMC5934453/ /pubmed/29725023 http://dx.doi.org/10.1038/s41467-018-04062-6 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, visithttp://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Glaser, Joshua I. Perich, Matthew G. Ramkumar, Pavan Miller, Lee E. Kording, Konrad P. Population coding of conditional probability distributions in dorsal premotor cortex |
title | Population coding of conditional probability distributions in dorsal premotor cortex |
title_full | Population coding of conditional probability distributions in dorsal premotor cortex |
title_fullStr | Population coding of conditional probability distributions in dorsal premotor cortex |
title_full_unstemmed | Population coding of conditional probability distributions in dorsal premotor cortex |
title_short | Population coding of conditional probability distributions in dorsal premotor cortex |
title_sort | population coding of conditional probability distributions in dorsal premotor cortex |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5934453/ https://www.ncbi.nlm.nih.gov/pubmed/29725023 http://dx.doi.org/10.1038/s41467-018-04062-6 |
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