The Temporal Context in Bayesian Models of Interval Timing: Recent Advances and Future Directions
Sadibolova, Renata and Terhune, Devin Blair. 2022. The Temporal Context in Bayesian Models of Interval Timing: Recent Advances and Future Directions. Behavioral Neuroscience, 136(5), pp. 364-373. ISSN 0735-7044 [Article]
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Abstract or Description
Sensory perception, motor control, and cognition necessitate reliable timing in the range of milliseconds to seconds, which implies the existence of a highly accurate timing system. Yet, partly owing to the fact that temporal processing is modulated by contextual factors, perceived time is not isomorphic to physical time. Temporal estimates exhibit regression to the mean of an interval distribution (global context) and are also affected by preceding trials (local context). Recent Bayesian models of interval timing have provided important insights regarding these observations, but questions remain as to how exposure to past intervals shapes perceived time. In this article, we provide a brief overview of Bayesian models of interval timing and their contribution to current understanding of context effects. We then proceed to highlight recent developments in the field concerning precision weighting of Bayesian evidence in both healthy timing and disease and the neurophysiological and neurochemical signatures of timing prediction errors. We further aim to bring attention to current outstanding questions for Bayesian models of interval timing, such as the likelihood conceptualization.
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Article |
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Additional Information: |
This work was supported in part by grant from the Biotechnology and Biological Sciences Research Council, Grant Number: BB/R01583X/1. |
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Keywords: |
Bayesian timing, central tendency bias, migration effect, recency effect, dopamine |
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32002 |
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Date Deposited: |
12 Jul 2022 13:45 |
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Last Modified: |
28 Mar 2023 13:16 |
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Peer Reviewed: |
Yes, this version has been peer-reviewed. |
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