A model of head direction and landmark coding in complex environments.

Environmental information is required to stabilize estimates of head direction (HD) based on angular path integration. However, it is unclear how this happens in real-world (visually complex) environments. We present a computational model of how visual feedback can stabilize HD information in enviro...

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Autores principales:	Yijia Yan, Neil Burgess, Andrej Bicanski
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/da308f3449d047a49da874e8e8a6e51a
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id	oai:doaj.org-article:da308f3449d047a49da874e8e8a6e51a
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spelling	oai:doaj.org-article:da308f3449d047a49da874e8e8a6e51a2021-12-02T19:58:14ZA model of head direction and landmark coding in complex environments.1553-734X1553-735810.1371/journal.pcbi.1009434https://doaj.org/article/da308f3449d047a49da874e8e8a6e51a2021-09-01T00:00:00Zhttps://doi.org/10.1371/journal.pcbi.1009434https://doaj.org/toc/1553-734Xhttps://doaj.org/toc/1553-7358Environmental information is required to stabilize estimates of head direction (HD) based on angular path integration. However, it is unclear how this happens in real-world (visually complex) environments. We present a computational model of how visual feedback can stabilize HD information in environments that contain multiple cues of varying stability and directional specificity. We show how combinations of feature-specific visual inputs can generate a stable unimodal landmark bearing signal, even in the presence of multiple cues and ambiguous directional specificity. This signal is associated with the retrosplenial HD signal (inherited from thalamic HD cells) and conveys feedback to the subcortical HD circuitry. The model predicts neurons with a unimodal encoding of the egocentric orientation of the array of landmarks, rather than any one particular landmark. The relationship between these abstract landmark bearing neurons and head direction cells is reminiscent of the relationship between place cells and grid cells. Their unimodal encoding is formed from visual inputs via a modified version of Oja's Subspace Algorithm. The rule allows the landmark bearing signal to disconnect from directionally unstable or ephemeral cues, incorporate newly added stable cues, support orientation across many different environments (high memory capacity), and is consistent with recent empirical findings on bidirectional HD firing reported in the retrosplenial cortex. Our account of visual feedback for HD stabilization provides a novel perspective on neural mechanisms of spatial navigation within richer sensory environments, and makes experimentally testable predictions.Yijia YanNeil BurgessAndrej BicanskiPublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Computational Biology, Vol 17, Iss 9, p e1009434 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Yijia Yan Neil Burgess Andrej Bicanski A model of head direction and landmark coding in complex environments.
description	Environmental information is required to stabilize estimates of head direction (HD) based on angular path integration. However, it is unclear how this happens in real-world (visually complex) environments. We present a computational model of how visual feedback can stabilize HD information in environments that contain multiple cues of varying stability and directional specificity. We show how combinations of feature-specific visual inputs can generate a stable unimodal landmark bearing signal, even in the presence of multiple cues and ambiguous directional specificity. This signal is associated with the retrosplenial HD signal (inherited from thalamic HD cells) and conveys feedback to the subcortical HD circuitry. The model predicts neurons with a unimodal encoding of the egocentric orientation of the array of landmarks, rather than any one particular landmark. The relationship between these abstract landmark bearing neurons and head direction cells is reminiscent of the relationship between place cells and grid cells. Their unimodal encoding is formed from visual inputs via a modified version of Oja's Subspace Algorithm. The rule allows the landmark bearing signal to disconnect from directionally unstable or ephemeral cues, incorporate newly added stable cues, support orientation across many different environments (high memory capacity), and is consistent with recent empirical findings on bidirectional HD firing reported in the retrosplenial cortex. Our account of visual feedback for HD stabilization provides a novel perspective on neural mechanisms of spatial navigation within richer sensory environments, and makes experimentally testable predictions.
format	article
author	Yijia Yan Neil Burgess Andrej Bicanski
author_facet	Yijia Yan Neil Burgess Andrej Bicanski
author_sort	Yijia Yan
title	A model of head direction and landmark coding in complex environments.
title_short	A model of head direction and landmark coding in complex environments.
title_full	A model of head direction and landmark coding in complex environments.
title_fullStr	A model of head direction and landmark coding in complex environments.
title_full_unstemmed	A model of head direction and landmark coding in complex environments.
title_sort	model of head direction and landmark coding in complex environments.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/da308f3449d047a49da874e8e8a6e51a
work_keys_str_mv	AT yijiayan amodelofheaddirectionandlandmarkcodingincomplexenvironments AT neilburgess amodelofheaddirectionandlandmarkcodingincomplexenvironments AT andrejbicanski amodelofheaddirectionandlandmarkcodingincomplexenvironments AT yijiayan modelofheaddirectionandlandmarkcodingincomplexenvironments AT neilburgess modelofheaddirectionandlandmarkcodingincomplexenvironments AT andrejbicanski modelofheaddirectionandlandmarkcodingincomplexenvironments
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A model of head direction and landmark coding in complex environments.

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