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Synergies between optical and physical variables in intercepting parabolic targets

Interception requires precise estimation of time-to-contact (TTC) information. A long-standing view posits that all relevant information for extracting TTC is available in the angular variables, which result from the projection of distal objects onto the retina. The different timing models rooted in...

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Autores principales: Gómez, José, López-Moliner, Joan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3655327/
https://www.ncbi.nlm.nih.gov/pubmed/23720614
http://dx.doi.org/10.3389/fnbeh.2013.00046
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author Gómez, José
López-Moliner, Joan
author_facet Gómez, José
López-Moliner, Joan
author_sort Gómez, José
collection PubMed
description Interception requires precise estimation of time-to-contact (TTC) information. A long-standing view posits that all relevant information for extracting TTC is available in the angular variables, which result from the projection of distal objects onto the retina. The different timing models rooted in this tradition have consequently relied on combining visual angle and its rate of expansion in different ways with tau being the most well-known solution for TTC. The generalization of these models to timing parabolic trajectories is not straightforward. For example, these different combinations rely on isotropic expansion and usually assume first-order information only, neglecting acceleration. As a consequence no optical formulations have been put forward so far to specify TTC of parabolic targets with enough accuracy. It is only recently that context-dependent physical variables have been shown to play an important role in TTC estimation. Known physical size and gravity can adequately explain observed data of linear and free-falling trajectories, respectively. Yet, a full timing model for specifying parabolic TTC has remained elusive. We here derive two formulations that specify TTC for parabolic ball trajectories. The first specification extends previous models in which known size is combined with thresholding visual angle or its rate of expansion to the case of fly balls. To efficiently use this model, observers need to recover the 3D radial velocity component of the trajectory which conveys the isotropic expansion. The second one uses knowledge of size and gravity combined with ball visual angle and elevation angle. Taking into account the noise due to sensory measurements, we simulate the expected performance of these models in terms of accuracy and precision. While the model that combines expansion information and size knowledge is more efficient during the late trajectory, the second one is shown to be efficient along all the flight.
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spelling pubmed-36553272013-05-29 Synergies between optical and physical variables in intercepting parabolic targets Gómez, José López-Moliner, Joan Front Behav Neurosci Neuroscience Interception requires precise estimation of time-to-contact (TTC) information. A long-standing view posits that all relevant information for extracting TTC is available in the angular variables, which result from the projection of distal objects onto the retina. The different timing models rooted in this tradition have consequently relied on combining visual angle and its rate of expansion in different ways with tau being the most well-known solution for TTC. The generalization of these models to timing parabolic trajectories is not straightforward. For example, these different combinations rely on isotropic expansion and usually assume first-order information only, neglecting acceleration. As a consequence no optical formulations have been put forward so far to specify TTC of parabolic targets with enough accuracy. It is only recently that context-dependent physical variables have been shown to play an important role in TTC estimation. Known physical size and gravity can adequately explain observed data of linear and free-falling trajectories, respectively. Yet, a full timing model for specifying parabolic TTC has remained elusive. We here derive two formulations that specify TTC for parabolic ball trajectories. The first specification extends previous models in which known size is combined with thresholding visual angle or its rate of expansion to the case of fly balls. To efficiently use this model, observers need to recover the 3D radial velocity component of the trajectory which conveys the isotropic expansion. The second one uses knowledge of size and gravity combined with ball visual angle and elevation angle. Taking into account the noise due to sensory measurements, we simulate the expected performance of these models in terms of accuracy and precision. While the model that combines expansion information and size knowledge is more efficient during the late trajectory, the second one is shown to be efficient along all the flight. Frontiers Media S.A. 2013-05-16 /pmc/articles/PMC3655327/ /pubmed/23720614 http://dx.doi.org/10.3389/fnbeh.2013.00046 Text en Copyright © 2013 Gómez and López-Moliner. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and subject to any copyright notices concerning any third-party graphics etc.
spellingShingle Neuroscience
Gómez, José
López-Moliner, Joan
Synergies between optical and physical variables in intercepting parabolic targets
title Synergies between optical and physical variables in intercepting parabolic targets
title_full Synergies between optical and physical variables in intercepting parabolic targets
title_fullStr Synergies between optical and physical variables in intercepting parabolic targets
title_full_unstemmed Synergies between optical and physical variables in intercepting parabolic targets
title_short Synergies between optical and physical variables in intercepting parabolic targets
title_sort synergies between optical and physical variables in intercepting parabolic targets
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3655327/
https://www.ncbi.nlm.nih.gov/pubmed/23720614
http://dx.doi.org/10.3389/fnbeh.2013.00046
work_keys_str_mv AT gomezjose synergiesbetweenopticalandphysicalvariablesininterceptingparabolictargets
AT lopezmolinerjoan synergiesbetweenopticalandphysicalvariablesininterceptingparabolictargets