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Support for the frequency dominance region explanation of lateralization of larger than physiologically possible interaural time differences

Authors: Goupell, Matthew; Bilokon, Anhelina;

Support for the frequency dominance region explanation of lateralization of larger than physiologically possible interaural time differences

Abstract

Binaural processing allows humans to localize sound sources in the horizontal plane and communicate in noisy environments at exquisite levels. Underlying these abilities is the computation of interaural time differences (ITDs) and interaural level differences (ILDs). Improvements to binaural models (including understanding the distribution and operation of ITD-sensitive neurons across frequency and interaural delay) are critical in determining how the binaural system processes realistic and complex sounds like speech. Furthermore, this type of knowledge can ultimately help individuals who struggle with these tasks, such as those with hearing impairment. Across-frequency binaural models have been developed based on data from highly controlled headphone experiments that measured perceived intracranial lateralization (how far to the left or right a sound is perceived inside of the head) for narrowband noises that were varied in bandwidth and included ITDs that were larger than the human physiological range (e.g., 1.5 ms). One widely accepted binaural model for explaining across-frequency ITD processing of such stimuli utilizes three components: (1) a weighting function in frequency, with the highest weight around 600-700 Hz (i.e., the "dominant region"); (2) a weighting function in ITD, with the highest weight around 0 μs (i.e., "centrality"); and (3) an across-frequency processing operation where weighting is increased by have peaks of the interaural cross-correlation function aligned across frequency (i.e., "straightness"). Previously, it has been purported that the critical model component that explains the change in lateralization with increasing bandwidth was the straightness weighting. One shortcoming of the previous experiments, however, is that the center frequency was fixed and the bandwidth changed the highest frequency in the stimulus. An alternative explanation and the hypothesis tested here is that the critical model component is the frequency dominant region. Therefore, we redesigned this experiment to avoid the previous stimulus confound. Normal-hearing listeners were tested using an intracranial lateralization task. Complex tones, Gaussian narrowband noises, and low-fluctuation narrowband noises with a fixed upper frequency boundary of 500, 600, 700, or 800 Hz and bandwidths of 50, 100, 200, or 400 Hz were presented to the listeners. ITDs of ±1.5 or ±2 ms were applied. Up to 20 trials were collected for each condition. Control pure tone data were also collected. The results showed that, for more than half of the conditions, intracranial lateralization did not change as bandwidth increased and it was well predicted by the highest frequency in the stimulus. Such a result provides partial support for the frequency-weighting, not the straightness-weighting hypothesis. It is possible that all of the data can be explained without an across-frequency processing operation. Furthermore, without across-frequency processing there would be no need to invoke a model with binaural delays lines that are larger than the human physiologically plausible range of ITDs. In conclusion, these new data work towards reconciling longstanding disagreements about interpreting this type of experimental data in the field of binaural hearing.

Funding:National Institutes of Health: 5R01DC014948

Keywords

Interaural Time Differences, Binaural Hearing, Across-Frequency Processing

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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