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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2021
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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) |
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Medicine R Science Q David Pascucci Nadia Ruethemann Gijs Plomp The anisotropic field of ensemble coding |
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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 |
work_keys_str_mv |
AT davidpascucci theanisotropicfieldofensemblecoding AT nadiaruethemann theanisotropicfieldofensemblecoding AT gijsplomp theanisotropicfieldofensemblecoding AT davidpascucci anisotropicfieldofensemblecoding AT nadiaruethemann anisotropicfieldofensemblecoding AT gijsplomp anisotropicfieldofensemblecoding |
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1718385626568458240 |