Spatial prediction of dynamic interactions in rats.

Animals and humans receive the most critical information from parts of the environment that are immediately inaccessible and highly dynamic. The brain must effectively process potential interactions between elements in such an environment to make appropriate decisions in critical situations. We trai...

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Main Authors: Tereza Dvorakova, Veronika Lobellova, Paloma Manubens, Abel Sanchez-Jimenez, Jose Antonio Villacorta-Atienza, Ales Stuchlik, David Levcik
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2025-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0319101
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author Tereza Dvorakova
Veronika Lobellova
Paloma Manubens
Abel Sanchez-Jimenez
Jose Antonio Villacorta-Atienza
Ales Stuchlik
David Levcik
author_facet Tereza Dvorakova
Veronika Lobellova
Paloma Manubens
Abel Sanchez-Jimenez
Jose Antonio Villacorta-Atienza
Ales Stuchlik
David Levcik
author_sort Tereza Dvorakova
collection DOAJ
description Animals and humans receive the most critical information from parts of the environment that are immediately inaccessible and highly dynamic. The brain must effectively process potential interactions between elements in such an environment to make appropriate decisions in critical situations. We trained male Long-Evans rats to discriminate static and dynamic spatial stimuli and to generalize novel dynamic spatial stimuli displayed on an inaccessible computer screen. We provide behavioral evidence indicating that rats encode dynamic visuospatial situations by constructing internal static representations that capture meaningful future interactions between objects. These observations support previous findings in humans that such internal static representations can encapsulate relevant spatiotemporal information of dynamic environments. This mechanism would allow animals and humans to process complex time-changing situations neatly.
format Article
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issn 1932-6203
language English
publishDate 2025-01-01
publisher Public Library of Science (PLoS)
record_format Article
series PLoS ONE
spelling doaj-art-7d1f7fe73d094369b9060af65be9ae5d2025-08-20T02:15:23ZengPublic Library of Science (PLoS)PLoS ONE1932-62032025-01-01202e031910110.1371/journal.pone.0319101Spatial prediction of dynamic interactions in rats.Tereza DvorakovaVeronika LobellovaPaloma ManubensAbel Sanchez-JimenezJose Antonio Villacorta-AtienzaAles StuchlikDavid LevcikAnimals and humans receive the most critical information from parts of the environment that are immediately inaccessible and highly dynamic. The brain must effectively process potential interactions between elements in such an environment to make appropriate decisions in critical situations. We trained male Long-Evans rats to discriminate static and dynamic spatial stimuli and to generalize novel dynamic spatial stimuli displayed on an inaccessible computer screen. We provide behavioral evidence indicating that rats encode dynamic visuospatial situations by constructing internal static representations that capture meaningful future interactions between objects. These observations support previous findings in humans that such internal static representations can encapsulate relevant spatiotemporal information of dynamic environments. This mechanism would allow animals and humans to process complex time-changing situations neatly.https://doi.org/10.1371/journal.pone.0319101
spellingShingle Tereza Dvorakova
Veronika Lobellova
Paloma Manubens
Abel Sanchez-Jimenez
Jose Antonio Villacorta-Atienza
Ales Stuchlik
David Levcik
Spatial prediction of dynamic interactions in rats.
PLoS ONE
title Spatial prediction of dynamic interactions in rats.
title_full Spatial prediction of dynamic interactions in rats.
title_fullStr Spatial prediction of dynamic interactions in rats.
title_full_unstemmed Spatial prediction of dynamic interactions in rats.
title_short Spatial prediction of dynamic interactions in rats.
title_sort spatial prediction of dynamic interactions in rats
url https://doi.org/10.1371/journal.pone.0319101
work_keys_str_mv AT terezadvorakova spatialpredictionofdynamicinteractionsinrats
AT veronikalobellova spatialpredictionofdynamicinteractionsinrats
AT palomamanubens spatialpredictionofdynamicinteractionsinrats
AT abelsanchezjimenez spatialpredictionofdynamicinteractionsinrats
AT joseantoniovillacortaatienza spatialpredictionofdynamicinteractionsinrats
AT alesstuchlik spatialpredictionofdynamicinteractionsinrats
AT davidlevcik spatialpredictionofdynamicinteractionsinrats