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Updated: May 8, 2026

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
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Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

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Selective attention to temporal features on nested time scales.

Molly J Henry1, Björn Herrmann1, Jonas Obleser1

  • 1Max Planck Research Group "Auditory Cognition", Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.

Cerebral Cortex (New York, N.Y. : 1991)
|August 28, 2013
PubMed
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Listeners can focus on specific temporal features in complex sounds like speech and music. A fronto-parietal network in the brain helps manage attention to these auditory time scales.

Area of Science:

  • Neuroscience
  • Auditory Perception
  • Cognitive Science

Background:

  • Meaningful auditory stimuli (speech, music) possess multiple, intertwined temporal features.
  • Listeners must selectively attend to and ignore specific temporal features for comprehension.
  • Understanding the neural basis of selective auditory attention to time is crucial.

Purpose of the Study:

  • To identify and characterize the neural network responsible for feature-selective attention to time in auditory stimuli.
  • To investigate how the brain distinguishes between attended and ignored temporal features.
  • To elucidate the neural mechanisms underlying temporal feature selection in complex auditory environments.

Main Methods:

  • Utilized a novel auditory paradigm with controlled stimulation, working memory, response, and task difficulty.
Keywords:
attention to timeauditory perceptionfMRItime perception

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Last Updated: May 8, 2026

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  • Employed brain activation analysis correlating neural patterns with behavioral performance for temporal judgments.
  • Isolated brain regions regulating selective attention by analyzing neural responses to attended and ignored temporal features.
  • Main Results:

    • A bilateral fronto-parietal network, including the insular cortex and basal ganglia, was identified.
    • Neural responses in this network decreased with the degree of change in the attended temporal feature.
    • Response patterns were inverted when the task required selectively ignoring the temporal feature, demonstrating flexible gain control.

    Conclusions:

    • The brain utilizes a fronto-parietal network for feature-selective attention to temporal aspects of auditory stimuli.
    • This network dynamically regulates the neural gain for both attended and ignored temporal features.
    • Findings provide insight into the neural mechanisms supporting auditory scene analysis and selective listening.