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Modelling of Human Low Frequency Sound Localization Acuity Demonstrates Dominance of Spatial Variation of Interaural Time Difference and Suggests Uniform Just-noticeable Differences in Interaural Time Difference

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Journal PLoS One
Date 2014 Feb 22
PMID 24558468
Citations 6
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Abstract

Sound source localization is critical to animal survival and for identification of auditory objects. We investigated the acuity with which humans localize low frequency, pure tone sounds using timing differences between the ears. These small differences in time, known as interaural time differences or ITDs, are identified in a manner that allows localization acuity of around 1° at the midline. Acuity, a relative measure of localization ability, displays a non-linear variation as sound sources are positioned more laterally. All species studied localize sounds best at the midline and progressively worse as the sound is located out towards the side. To understand why sound localization displays this variation with azimuthal angle, we took a first-principles, systemic, analytical approach to model localization acuity. We calculated how ITDs vary with sound frequency, head size and sound source location for humans. This allowed us to model ITD variation for previously published experimental acuity data and determine the distribution of just-noticeable differences in ITD. Our results suggest that the best-fit model is one whereby just-noticeable differences in ITDs are identified with uniform or close to uniform sensitivity across the physiological range. We discuss how our results have several implications for neural ITD processing in different species as well as development of the auditory system.

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References
1.
Carr C, Konishi M . A circuit for detection of interaural time differences in the brain stem of the barn owl. J Neurosci. 1990; 10(10):3227-46. PMC: 6570189. View

2.
Brungart D, Rabinowitz W . Auditory localization of nearby sources. Head-related transfer functions. J Acoust Soc Am. 1999; 106(3 Pt 1):1465-79. DOI: 10.1121/1.427180. View

3.
Tollin D, Koka K . Postnatal development of sound pressure transformations by the head and pinnae of the cat: Binaural characteristics. J Acoust Soc Am. 2009; 126(6):3125-36. PMC: 2803723. DOI: 10.1121/1.3257234. View

4.
BARLOW H . Single units and sensation: a neuron doctrine for perceptual psychology?. Perception. 1972; 1(4):371-94. DOI: 10.1068/p010371. View

5.
Koka K, Jones H, Thornton J, Lupo J, Tollin D . Sound pressure transformations by the head and pinnae of the adult Chinchilla (Chinchilla lanigera). Hear Res. 2010; 272(1-2):135-47. PMC: 3039070. DOI: 10.1016/j.heares.2010.10.007. View