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A Unitary Mechanism Underlies Adaptation to Both Local and Global Environmental Statistics in Time Perception

View ORCID ProfileTianhe Wang, Yingrui Luo, Richard B. Ivry, View ORCID ProfileJonathan S. Tsay, Ernst Pöppel, Yan Bao
doi: https://doi.org/10.1101/2022.12.03.519001
Tianhe Wang
1School of Psychological and Cognitive Sciences, Peking University, Beijing, China
2Department of Psychology and Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, USA
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  • ORCID record for Tianhe Wang
  • For correspondence: tianhewang@berkeley.edu baoyan@pku.edu.cn
Yingrui Luo
1School of Psychological and Cognitive Sciences, Peking University, Beijing, China
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Richard B. Ivry
2Department of Psychology and Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, USA
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Jonathan S. Tsay
2Department of Psychology and Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, USA
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Ernst Pöppel
1School of Psychological and Cognitive Sciences, Peking University, Beijing, China
3Institute of Medical Psychology, Ludwig Maximilian University, Munich, Germany
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Yan Bao
1School of Psychological and Cognitive Sciences, Peking University, Beijing, China
3Institute of Medical Psychology, Ludwig Maximilian University, Munich, Germany
4Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing, China
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  • For correspondence: tianhewang@berkeley.edu baoyan@pku.edu.cn
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Abstract

Our sense of the passage of time flexibly adapts to the statistical properties of the temporal context. Humans and non-human species exhibit a perceptual bias towards the mean of durations previously observed as well as serial dependence, a perceptual bias towards the duration of recently processed events. Here we asked whether those two phenomena arise from a unitary mechanism or reflect the operation of two distinct systems that adapt separately to the global and local statistics of the environment. We employed a set of duration reproduction tasks in which the target duration was sampled from distributions with different variances and means. The central tendency and serial dependence biases were jointly modulated by the range and the variance of the prior, and these effects were well-captured by a unitary mechanism model in which temporal expectancies are updated after each trial based on perceptual observations. Alternative models that assume separate mechanisms for global and local contextual effects failed to capture the empirical results.

Teaser Time perception of humans is shaped by a common mechanism that is sensitive to short-term and long-term environmental changes.

Competing Interest Statement

Richard B. Ivry is a co-founder with equity in Magnetic Tides, Inc.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted December 05, 2022.
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A Unitary Mechanism Underlies Adaptation to Both Local and Global Environmental Statistics in Time Perception
Tianhe Wang, Yingrui Luo, Richard B. Ivry, Jonathan S. Tsay, Ernst Pöppel, Yan Bao
bioRxiv 2022.12.03.519001; doi: https://doi.org/10.1101/2022.12.03.519001
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A Unitary Mechanism Underlies Adaptation to Both Local and Global Environmental Statistics in Time Perception
Tianhe Wang, Yingrui Luo, Richard B. Ivry, Jonathan S. Tsay, Ernst Pöppel, Yan Bao
bioRxiv 2022.12.03.519001; doi: https://doi.org/10.1101/2022.12.03.519001

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