Neural Signatures of Flexible Multiple Timing

The human ability to track overlapping and asynchronous time intervals is crucial for a myriad of tasks, from engaging in conversation to driving a car. Additionally, unexpected events can trigger rapid, on-the-fly adjustments, necessitating quick updating of both timing intervals and action planning. Such events require immediate recalibration of decision variables to allow the system to promptly adapt to new stimuli and update the timing mechanisms accordingly. In this study, we assessed human male and female participants' ability to track two simultaneous and asynchronous beep trains and determine which one ended first. Due to the stochastic nature of the beeps, participants frequently had to reorient their intended actions in order to identify which train was more likely to have ended. We found that they were able to do this accurately, demonstrating timing performance that was comparable with that of a single train. At the neural level, we recorded slowly evolving EEG potentials that encoded a single interval, the one associated with the currently intended action. Upon an intention switch, when participants had to reorient to a previously unintended action, the EEG response amplitude was reset to reflect the new intended interval. In contrast, when participants were instructed to disregard one of the beep trains, EEG responses solely reflected the intervals of the sequence they attended to. This flexibility in response highlights the brain's ability to dynamically reconfigure cognitive processes in real time, ensuring that actions remain contextually appropriate despite sudden changes in the environment.

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Publication Details

Journal
Journal of Neuroscience
Published
2025-05-22
DOI
https://doi.org/10.1523/jneurosci.2041-24.2025
Citations
1
Primary Topic
Neural dynamics and brain function
Type
article
Field-Weighted Citation Impact
1.43

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article

Neural Signatures of Flexible Multiple Timing

Leon Y. Deouell, Ayelet N. Landau, Eran Lottem, Nir Ofir et al.
1 citations
Journal of Neuroscience
Neural dynamics and brain function
1.43
article

Neural Signatures of Flexible Multiple Timing

Leon Y. Deouell, Ayelet N. Landau, Eran Lottem, Nir Ofir, S. Haim
article en
1 citations

Abstract

The human ability to track overlapping and asynchronous time intervals is crucial for a myriad of tasks, from engaging in conversation to driving a car. Additionally, unexpected events can trigger rapid, on-the-fly adjustments, necessitating quick updating of both timing intervals and action planning. Such events require immediate recalibration of decision variables to allow the system to promptly adapt to new stimuli and update the timing mechanisms accordingly. In this study, we assessed human male and female participants' ability to track two simultaneous and asynchronous beep trains and determine which one ended first. Due to the stochastic nature of the beeps, participants frequently had to reorient their intended actions in order to identify which train was more likely to have ended. We found that they were able to do this accurately, demonstrating timing performance that was comparable with that of a single train. At the neural level, we recorded slowly evolving EEG potentials that encoded a single interval, the one associated with the currently intended action. Upon an intention switch, when participants had to reorient to a previously unintended action, the EEG response amplitude was reset to reflect the new intended interval. In contrast, when participants were instructed to disregard one of the beep trains, EEG responses solely reflected the intervals of the sequence they attended to. This flexibility in response highlights the brain's ability to dynamically reconfigure cognitive processes in real time, ensuring that actions remain contextually appropriate despite sudden changes in the environment.

Journal of NeuroscienceVol. 45(24)
Hebrew University of Jerusalem (IL), The London College (GB), University College London (GB)
Israel Science Foundation
Openalex Percentile: Top 19%
Neural dynamics and brain function
1.43
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