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Fixational drift is driven by diffusive dynamics in central neural circuitry

During fixation and between saccades, our eyes undergo diffusive random motion called fixational drift. The role of fixational drift in visual coding and inference has been debated in the past few decades, but the mechanisms that underlie this motion remained unknown. In particular, it has been uncl...

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Autores principales: Ben-Shushan, Nadav, Shaham, Nimrod, Joshua, Mati, Burak, Yoram
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8971408/
https://www.ncbi.nlm.nih.gov/pubmed/35361753
http://dx.doi.org/10.1038/s41467-022-29201-y
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author Ben-Shushan, Nadav
Shaham, Nimrod
Joshua, Mati
Burak, Yoram
author_facet Ben-Shushan, Nadav
Shaham, Nimrod
Joshua, Mati
Burak, Yoram
author_sort Ben-Shushan, Nadav
collection PubMed
description During fixation and between saccades, our eyes undergo diffusive random motion called fixational drift. The role of fixational drift in visual coding and inference has been debated in the past few decades, but the mechanisms that underlie this motion remained unknown. In particular, it has been unclear whether fixational drift arises from peripheral sources, or from central sources within the brain. Here we show that fixational drift is correlated with neural activity, and identify its origin in central neural circuitry within the oculomotor system, upstream to the ocular motoneurons (OMNs). We analyzed a large data set of OMN recordings in the rhesus monkey, alongside precise measurements of eye position, and found that most of the variance of fixational eye drifts must arise upstream of the OMNs. The diffusive statistics of the motion points to the oculomotor integrator, a memory circuit responsible for holding the eyes still between saccades, as a likely source of the motion. Theoretical modeling, constrained by the parameters of the primate oculomotor system, supports this hypothesis by accounting for the amplitude as well as the statistics of the motion. Thus, we propose that fixational ocular drift provides a direct observation of diffusive dynamics in a neural circuit responsible for storage of continuous parameter memory in persistent neural activity. The identification of a mechanistic origin for fixational drift is likely to advance the understanding of its role in visual processing and inference.
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spelling pubmed-89714082022-04-20 Fixational drift is driven by diffusive dynamics in central neural circuitry Ben-Shushan, Nadav Shaham, Nimrod Joshua, Mati Burak, Yoram Nat Commun Article During fixation and between saccades, our eyes undergo diffusive random motion called fixational drift. The role of fixational drift in visual coding and inference has been debated in the past few decades, but the mechanisms that underlie this motion remained unknown. In particular, it has been unclear whether fixational drift arises from peripheral sources, or from central sources within the brain. Here we show that fixational drift is correlated with neural activity, and identify its origin in central neural circuitry within the oculomotor system, upstream to the ocular motoneurons (OMNs). We analyzed a large data set of OMN recordings in the rhesus monkey, alongside precise measurements of eye position, and found that most of the variance of fixational eye drifts must arise upstream of the OMNs. The diffusive statistics of the motion points to the oculomotor integrator, a memory circuit responsible for holding the eyes still between saccades, as a likely source of the motion. Theoretical modeling, constrained by the parameters of the primate oculomotor system, supports this hypothesis by accounting for the amplitude as well as the statistics of the motion. Thus, we propose that fixational ocular drift provides a direct observation of diffusive dynamics in a neural circuit responsible for storage of continuous parameter memory in persistent neural activity. The identification of a mechanistic origin for fixational drift is likely to advance the understanding of its role in visual processing and inference. Nature Publishing Group UK 2022-03-31 /pmc/articles/PMC8971408/ /pubmed/35361753 http://dx.doi.org/10.1038/s41467-022-29201-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Ben-Shushan, Nadav
Shaham, Nimrod
Joshua, Mati
Burak, Yoram
Fixational drift is driven by diffusive dynamics in central neural circuitry
title Fixational drift is driven by diffusive dynamics in central neural circuitry
title_full Fixational drift is driven by diffusive dynamics in central neural circuitry
title_fullStr Fixational drift is driven by diffusive dynamics in central neural circuitry
title_full_unstemmed Fixational drift is driven by diffusive dynamics in central neural circuitry
title_short Fixational drift is driven by diffusive dynamics in central neural circuitry
title_sort fixational drift is driven by diffusive dynamics in central neural circuitry
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8971408/
https://www.ncbi.nlm.nih.gov/pubmed/35361753
http://dx.doi.org/10.1038/s41467-022-29201-y
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