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Related Concept Videos

Variation01:19

Variation

An important characteristic of any set of data is the variation in the data. In some data sets, the data values are concentrated closely near the mean; in other data sets, the data values are more widely spread out from the mean. The most common measure of variation, or spread, is the standard deviation, which is the square root of variance.
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Variability: Analysis01:11

Variability: Analysis

Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
The range is a simple measure of variability, indicating the difference between the highest and...
What is Variation?01:14

What is Variation?

Apart from the measures of central tendency, distribution, outliers, and the changing characteristics of data with time, an important characteristic of any data set is its variation or spread. In some data sets, the data values are concentrated closely near the mean; in others, the data values are more widely spread out from the mean.
The range, standard deviation, standard error, and variance are the different measures of variation.
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Derivatives01:16

Derivatives

DerivativesThe concept of instantaneous rate of change is fundamental in both mathematics and physics, particularly in describing how a moving object alters its position with respect to time. This rate is captured mathematically through the derivative of a function. The derivative at a point represents the slope of the tangent line to the curve of the function at that point and quantifies how the function’s output changes per infinitesimal change in input.Derivative of the Square Root...
Compensation Mechanisms01:28

Compensation Mechanisms

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Respiratory Compensation
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Entropy Changes Accompanying Specific Processes01:21

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Variations on a Dexterous theme: peripheral time-intensity trading.

Philip X Joris1, Pascal Michelet, Tom P Franken

  • 1Laboratory of Auditory Neurophysiology, K.U. Leuven Medical School, Campus Gasthuisberg O&N2, Herestraat 49 bus 1021, B-3000 Leuven, Belgium. philip.joris@med.kuleuven.be

Hearing Research
|January 12, 2008
PubMed
Summary
This summary is machine-generated.

Sound pressure level changes subtly alter auditory nerve fiber spike timing. These small, frequency-dependent timing shifts suggest interaural level differences may indirectly influence sound localization cues.

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Area of Science:

  • Auditory Neuroscience
  • Psychoacoustics
  • Computational Auditory Neuroscience

Background:

  • Spike train timing is crucial for processing interaural timing differences (ITDs), a key cue for sound localization.
  • Interaural level differences (ILDs) can potentially influence the ITD cue.
  • A hypothesis suggests ILDs might be indirectly encoded via peripheral level-to-time conversion in auditory nerve fibers.

Purpose of the Study:

  • To investigate the hypothesis of peripheral level-to-time conversion in auditory nerve fibers.
  • To determine if changes in sound pressure level (SPL) systematically alter spike timing.

Main Methods:

  • Recordings were made from auditory nerve fibers in response to broadband noise at varying SPLs.
  • Correlograms were used to analyze the timing of neural responses relative to the stimulus fine-structure across different SPLs.

Main Results:

  • A general decrease in spike-to-stimulus time delay was observed with increasing SPL.
  • The magnitude of these timing shifts was small (approximately 10 micros/dB) and dependent on characteristic frequency (CF), being largest at low CFs.
  • The observed effects of sound level on spike timing were systematic and potentially within the sensitivity range of the binaural system.

Conclusions:

  • While ILD is not directly traded for ITD in a simple manner, peripheral level-to-time conversion remains a plausible mechanism.
  • Low-frequency ILDs may influence binaural perception through this peripheral conversion pathway.
  • Further research is needed to fully elucidate the complex relationship between sound level, spike timing, and sound localization.