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Related Concept Videos

Frequency-dependent Selection01:21

Frequency-dependent Selection

When the fitness of a trait is influenced by how common it is (i.e., its frequency) relative to different traits within a population, this is referred to as frequency-dependent selection. Frequency-dependent selection may occur between species or within a single species. This type of selection can either be positive—with more common phenotypes having higher fitness—or negative, with rarer phenotypes conferring increased fitness.

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Related Experiment Video

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A Two-interval Forced-choice Task for Multisensory Comparisons
07:13

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Published on: November 9, 2018

Time-efficient measures of auditory frequency selectivity.

Karolina K Charaziak1, Pamela Souza, Jonathan H Siegel

  • 1Department of Communication Sciences and Disorders, School of Communication, Northwestern University, Evanston, IL 60208-2952, USA. KarolinaCharaziak2013@u.northwestern.edu

International Journal of Audiology
|November 24, 2011
PubMed
Summary
This summary is machine-generated.

The swept-noise (SN) method and amplitude-modulated gated-noise (GN) procedure provide fast, reliable psychophysical tuning curve (PTC) measurements unaffected by listener training, crucial for assessing frequency selectivity.

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Published on: January 23, 2017

Area of Science:

  • Auditory perception research
  • Psychoacoustics
  • Hearing science

Background:

  • Psychophysical tuning curves (PTCs) are essential for evaluating frequency selectivity in hearing.
  • Traditional PTC measurements are time-consuming.
  • Recent advancements propose fast-PTC methods to improve efficiency.

Purpose of the Study:

  • Compare two fast-PTC methods: swept-noise (SN) and gated-noise (GN).
  • Assess their impact on tuning curve features and training effects.
  • Evaluate amplitude modulation in the GN condition.

Main Methods:

  • Fast-PTCs using SN and GN maskers were measured at 500, 1000, 2000, and 4000 Hz.
  • Amplitude modulation was tested in the GN condition.
  • Eight young adults with normal hearing participated, with two PTC runs per condition to assess training.

Main Results:

  • SN and GN methods yielded similar frequency selectivity estimates, considering training.
  • Amplitude modulation in GN reduced training effects.
  • SN-PTCs showed the highest repeatability and were unaffected by training.
  • PTC tip frequency shifts were consistent across methods and training.

Conclusions:

  • SN and amplitude-modulated GN enable time-efficient, training-unaffected estimation of frequency selectivity.
  • These fast-PTC methods offer a practical alternative for auditory research.