2021
DOI: 10.1016/j.neuroimage.2020.117607
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Dissociable neural indices for time and space estimates during virtual distance reproduction

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Cited by 16 publications
(35 citation statements)
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“…Behavioral findings suggest path integration errors systematically scaled with path lengths (Harootonian et al, 2020), which will predict linearly increases in decoding errors as distances increase. Future studies should further test the links between oscillatory representations of fine-scale space and time, and the behavioral phenomena of spatiotemporal reproduction, using a reproduction paradigm, such as reproducing space and time in virtual reality (Robinson & Wiener, 2021).…”
Section: Discussionmentioning
confidence: 99%
“…Behavioral findings suggest path integration errors systematically scaled with path lengths (Harootonian et al, 2020), which will predict linearly increases in decoding errors as distances increase. Future studies should further test the links between oscillatory representations of fine-scale space and time, and the behavioral phenomena of spatiotemporal reproduction, using a reproduction paradigm, such as reproducing space and time in virtual reality (Robinson & Wiener, 2021).…”
Section: Discussionmentioning
confidence: 99%
“…Among spatial and temporal perception, accurately estimating the distance and time of one's self-motion is crucial for navigation ( Glasauer et al, 2007 ). Recently, based on the above findings on the processing of space and time as a magnitude estimation, the characteristics of the estimation of distance and time, and their neural substrates, have been studied using the virtual reality (VR) environment in humans and rodents ( Kautzky & Thurley, 2016 ; Petzschner & Glasauer, 2011 ; Riemer et al, 2018 ; Robinson et al, 2019 ; Robinson & Wiener, 2021 ; Thurley & Schild, 2018 ; Wiener et al, 2016 ). In the virtual distance reproduction task, participants moved a specific distance or time in the VR environment and then reproduced the distance or time ( Petzschner & Glasauer, 2011 ; Robinson & Wiener, 2021 ; Thurley & Schild, 2018 ; Wiener et al, 2016 ).…”
mentioning
confidence: 99%
“…Recently, based on the above findings on the processing of space and time as a magnitude estimation, the characteristics of the estimation of distance and time, and their neural substrates, have been studied using the virtual reality (VR) environment in humans and rodents ( Kautzky & Thurley, 2016 ; Petzschner & Glasauer, 2011 ; Riemer et al, 2018 ; Robinson et al, 2019 ; Robinson & Wiener, 2021 ; Thurley & Schild, 2018 ; Wiener et al, 2016 ). In the virtual distance reproduction task, participants moved a specific distance or time in the VR environment and then reproduced the distance or time ( Petzschner & Glasauer, 2011 ; Robinson & Wiener, 2021 ; Thurley & Schild, 2018 ; Wiener et al, 2016 ). Using this paradigm, it has been reported that both reproduced distance and reproduced time are subject to similar characteristic biases, such as the central tendency and range effects ( Petzschner & Glasauer, 2011 ; Robinson & Wiener, 2021 ; Thurley & Schild, 2018 ).…”
mentioning
confidence: 99%
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