Cargando…

Spatiotemporal transformations for gaze control

Sensorimotor transformations require spatiotemporal coordination of signals, that is, through both time and space. For example, the gaze control system employs signals that are time‐locked to various sensorimotor events, but the spatial content of these signals is difficult to assess during ordinary...

Descripción completa

Detalles Bibliográficos
Autores principales: Sajad, Amirsaman, Sadeh, Morteza, Crawford, John Douglas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7435051/
https://www.ncbi.nlm.nih.gov/pubmed/32812395
http://dx.doi.org/10.14814/phy2.14533
_version_ 1783572265011511296
author Sajad, Amirsaman
Sadeh, Morteza
Crawford, John Douglas
author_facet Sajad, Amirsaman
Sadeh, Morteza
Crawford, John Douglas
author_sort Sajad, Amirsaman
collection PubMed
description Sensorimotor transformations require spatiotemporal coordination of signals, that is, through both time and space. For example, the gaze control system employs signals that are time‐locked to various sensorimotor events, but the spatial content of these signals is difficult to assess during ordinary gaze shifts. In this review, we describe the various models and methods that have been devised to test this question, and their limitations. We then describe a new method that can (a) simultaneously test between all of these models during natural, head‐unrestrained conditions, and (b) track the evolving spatial continuum from target (T) to future gaze coding (G, including errors) through time. We then summarize some applications of this technique, comparing spatiotemporal coding in the primate frontal eye field (FEF) and superior colliculus (SC). The results confirm that these areas preferentially encode eye‐centered, effector‐independent parameters, and show—for the first time in ordinary gaze shifts—a spatial transformation between visual and motor responses from T to G coding. We introduce a new set of spatial models (T‐G continuum) that revealed task‐dependent timing of this transformation: progressive during a memory delay between vision and action, and almost immediate without such a delay. We synthesize the results from our studies and supplement it with previous knowledge of anatomy and physiology to propose a conceptual model where cumulative transformation noise is realized as inaccuracies in gaze behavior. We conclude that the spatiotemporal transformation for gaze is both local (observed within and across neurons in a given area) and distributed (with common signals shared across remote but interconnected structures).
format Online
Article
Text
id pubmed-7435051
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-74350512020-08-20 Spatiotemporal transformations for gaze control Sajad, Amirsaman Sadeh, Morteza Crawford, John Douglas Physiol Rep Reviews Sensorimotor transformations require spatiotemporal coordination of signals, that is, through both time and space. For example, the gaze control system employs signals that are time‐locked to various sensorimotor events, but the spatial content of these signals is difficult to assess during ordinary gaze shifts. In this review, we describe the various models and methods that have been devised to test this question, and their limitations. We then describe a new method that can (a) simultaneously test between all of these models during natural, head‐unrestrained conditions, and (b) track the evolving spatial continuum from target (T) to future gaze coding (G, including errors) through time. We then summarize some applications of this technique, comparing spatiotemporal coding in the primate frontal eye field (FEF) and superior colliculus (SC). The results confirm that these areas preferentially encode eye‐centered, effector‐independent parameters, and show—for the first time in ordinary gaze shifts—a spatial transformation between visual and motor responses from T to G coding. We introduce a new set of spatial models (T‐G continuum) that revealed task‐dependent timing of this transformation: progressive during a memory delay between vision and action, and almost immediate without such a delay. We synthesize the results from our studies and supplement it with previous knowledge of anatomy and physiology to propose a conceptual model where cumulative transformation noise is realized as inaccuracies in gaze behavior. We conclude that the spatiotemporal transformation for gaze is both local (observed within and across neurons in a given area) and distributed (with common signals shared across remote but interconnected structures). John Wiley and Sons Inc. 2020-08-18 /pmc/articles/PMC7435051/ /pubmed/32812395 http://dx.doi.org/10.14814/phy2.14533 Text en © 2020 The Authors. Physiological Reports published by Wiley Periodicals LLC on behalf of The Physiological Society and the American Physiological Society This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Reviews
Sajad, Amirsaman
Sadeh, Morteza
Crawford, John Douglas
Spatiotemporal transformations for gaze control
title Spatiotemporal transformations for gaze control
title_full Spatiotemporal transformations for gaze control
title_fullStr Spatiotemporal transformations for gaze control
title_full_unstemmed Spatiotemporal transformations for gaze control
title_short Spatiotemporal transformations for gaze control
title_sort spatiotemporal transformations for gaze control
topic Reviews
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7435051/
https://www.ncbi.nlm.nih.gov/pubmed/32812395
http://dx.doi.org/10.14814/phy2.14533
work_keys_str_mv AT sajadamirsaman spatiotemporaltransformationsforgazecontrol
AT sadehmorteza spatiotemporaltransformationsforgazecontrol
AT crawfordjohndouglas spatiotemporaltransformationsforgazecontrol