The anisotropic field of ensemble coding

Abstract Human observers can accurately estimate statistical summaries from an ensemble of multiple stimuli, including the average size, hue, and direction of motion. The efficiency and speed with which statistical summaries are extracted suggest an automatic mechanism of ensemble coding that operat...

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Autores principales: David Pascucci, Nadia Ruethemann, Gijs Plomp
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/37ec90d3c3a946338f61f989aca6b188
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spelling oai:doaj.org-article:37ec90d3c3a946338f61f989aca6b1882021-12-02T15:51:14ZThe anisotropic field of ensemble coding10.1038/s41598-021-87620-12045-2322https://doaj.org/article/37ec90d3c3a946338f61f989aca6b1882021-04-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-87620-1https://doaj.org/toc/2045-2322Abstract Human observers can accurately estimate statistical summaries from an ensemble of multiple stimuli, including the average size, hue, and direction of motion. The efficiency and speed with which statistical summaries are extracted suggest an automatic mechanism of ensemble coding that operates beyond the capacity limits of attention and memory. However, the extent to which ensemble coding reflects a truly parallel and holistic mode of processing or a non-uniform and biased integration of multiple items is still under debate. In the present work, we used a technique, based on a Spatial Weighted Average Model (SWM), to recover the spatial profile of weights with which individual stimuli contribute to the estimated average during mean size adjustment tasks. In a series of experiments, we derived two-dimensional SWM maps for ensembles presented at different retinal locations, with different degrees of dispersion and under different attentional demands. Our findings revealed strong spatial anisotropies and leftward biases in ensemble coding that were organized in retinotopic reference frames and persisted under attentional manipulations. These results demonstrate an anisotropic spatial contribution to ensemble coding that could be mediated by the differential activation of the two hemispheres during spatial processing and scene encoding.David PascucciNadia RuethemannGijs PlompNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
David Pascucci
Nadia Ruethemann
Gijs Plomp
The anisotropic field of ensemble coding
description Abstract Human observers can accurately estimate statistical summaries from an ensemble of multiple stimuli, including the average size, hue, and direction of motion. The efficiency and speed with which statistical summaries are extracted suggest an automatic mechanism of ensemble coding that operates beyond the capacity limits of attention and memory. However, the extent to which ensemble coding reflects a truly parallel and holistic mode of processing or a non-uniform and biased integration of multiple items is still under debate. In the present work, we used a technique, based on a Spatial Weighted Average Model (SWM), to recover the spatial profile of weights with which individual stimuli contribute to the estimated average during mean size adjustment tasks. In a series of experiments, we derived two-dimensional SWM maps for ensembles presented at different retinal locations, with different degrees of dispersion and under different attentional demands. Our findings revealed strong spatial anisotropies and leftward biases in ensemble coding that were organized in retinotopic reference frames and persisted under attentional manipulations. These results demonstrate an anisotropic spatial contribution to ensemble coding that could be mediated by the differential activation of the two hemispheres during spatial processing and scene encoding.
format article
author David Pascucci
Nadia Ruethemann
Gijs Plomp
author_facet David Pascucci
Nadia Ruethemann
Gijs Plomp
author_sort David Pascucci
title The anisotropic field of ensemble coding
title_short The anisotropic field of ensemble coding
title_full The anisotropic field of ensemble coding
title_fullStr The anisotropic field of ensemble coding
title_full_unstemmed The anisotropic field of ensemble coding
title_sort anisotropic field of ensemble coding
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/37ec90d3c3a946338f61f989aca6b188
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AT nadiaruethemann anisotropicfieldofensemblecoding
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