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arXiv:1208.4611q-bio.NC

Human Time-Frequency Acuity Beats the Fourier Uncertainty Principle

Jacob N. Oppenheim, Marcelo O. Magnasco

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Abstract

The time-frequency uncertainty principle states that the product of the temporal and frequency extents of a signal cannot be smaller than $1/(4π)$. We study human ability to simultaneously judge the frequency and the timing of a sound. Our subjects often exceeded the uncertainty limit, sometimes by more than tenfold, mostly through remarkable timing acuity. Our results establish a lower bound for the nonlinearity and complexity of the algorithms employed by our brains in parsing transient sounds, rule out simple "linear filter" models of early auditory processing, and highlight timing acuity as a central feature in auditory object processing.

arXiv comments
4 pages, 2 figures; Accepted at PRL
Journal reference
DOI
doi:10.1103/PhysRevLett.110.044301
Subjects
q-bio.NCNeurons and Cognition

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Linked by 1 identifiable commenter in 1 comment across 1 thread, from Dec 2025 to Dec 2025. Found in 1 HN submission from Jan 2014 to Jan 2014. Open submission discussions.

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Discussed in comments1 thread

    • It's quite interesting that our ears implement a better-than-Fourier-like algorithm internally: https://arxiv.org/pdf/1208.4611

      devanshpView on HNParent context

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