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Temporal context calibrates interval timing

Open access
Jazayeri, Mehrdad, Shadlen, Michael N·2010·Nature Neuroscience

Abstract

We use our sense of time to identify temporal relationships between events and to anticipate actions. The degree to which we can exploit temporal contingencies depends on the variability of our measurements of time. We asked humans to reproduce time intervals drawn from different underlying distributions. As expected, production times were more variable for longer intervals. However, production times exhibited a systematic regression toward the mean. Consequently, estimates for a sample interval differed depending on the distribution from which it was drawn. A performance-optimizing Bayesian model that takes the underlying distribution of samples into account provided an accurate description of subjects' performance, variability and bias. This finding suggests that the CNS incorporates knowledge about temporal uncertainty to adapt internal timing mechanisms to the temporal statistics of the environment.

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Metadata

Authors
Jazayeri, M., & Shadlen, M. N.
Venue
Nature Neuroscience
Published
2010-06-27
Volume
13
Issue
8
Pages
1020-1026
ISSN
  • 1097-6256 (ISSN-L)
  • 1546-1726
OpenAlex
W2057409808
Cited by
781
References
7
FWCI
12.67
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Temporal context calibrates interval timing. https://app.cochat.ai/papers/10.1038/nn.2590
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Jazayeri, M., & Shadlen, M. N. (2010). Temporal context calibrates interval timing. Nature Neuroscience. https://doi.org/10.1038/nn.2590

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.