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https://hdl.handle.net/10316/108852
Título: | How Fast Do Objects Fall in Visual Memory? Uncovering the Temporal and Spatial Features of Representational Gravity | Autor: | Teixeira, Nuno de Sá | Data: | 2016 | Editora: | Public Library of Science | Projeto: | SFRH/BPD/ 84118/2012 | Título da revista, periódico, livro ou evento: | PLoS ONE | Volume: | 11 | Número: | 2 | Resumo: | Visual memory for the spatial location where a moving target vanishes has been found to be systematically displaced downward in the direction of gravity. Moreover, it was recently reported that the magnitude of the downward error increases steadily with increasing retention intervals imposed after object's offset and before observers are allowed to perform the spatial localization task, in a pattern where the remembered vanishing location drifts downward as if following a falling trajectory. This outcome was taken to reflect the dynamics of a representational model of earth's gravity. The present study aims to establish the spatial and temporal features of this downward drift by taking into account the dynamics of the motor response. The obtained results show that the memory for the last location of the target drifts downward with time, thus replicating previous results. Moreover, the time taken for completion of the behavioural localization movements seems to add to the imposed retention intervals in determining the temporal frame during which the visual memory is updated. Overall, it is reported that the representation of spatial location drifts downward by about 3 pixels for each two-fold increase of time until response. The outcomes are discussed in relation to a predictive internal model of gravity which outputs an on-line spatial update of remembered objects' location. | URI: | https://hdl.handle.net/10316/108852 | ISSN: | 1932-6203 | DOI: | 10.1371/journal.pone.0148953 | Direitos: | openAccess |
Aparece nas coleções: | FPCEUC - Artigos em Revistas Internacionais |
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How-fast-do-objects-fall-in-visual-memory-Uncovering-the-temporal-and-spatial-features-of-representational-gravityPLoS-ONE.pdf | 815.16 kB | Adobe PDF | Ver/Abrir |
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