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Identifying Stochastic Resonance in Perceptual Thresholds with Auditory and Vestibular White Noise.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Identifying Stochastic Resonance in Perceptual Thresholds with Auditory and Vestibular White Noise./
作者:	Rise, Rachel M.
面頁冊數:	1 online resource (70 pages)
附註:	Source: Masters Abstracts International, Volume: 83-12.
Contained By:	Masters Abstracts International83-12.
標題:	Aerospace engineering. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28965600click for full text (PQDT)
ISBN:	9798819387665

Identifying Stochastic Resonance in Perceptual Thresholds with Auditory and Vestibular White Noise.
Rise, Rachel M.

Identifying Stochastic Resonance in Perceptual Thresholds with Auditory and Vestibular White Noise. - 1 online resource (70 pages)

Source: Masters Abstracts International, Volume: 83-12.

Thesis (M.S.)--University of Colorado at Boulder, 2022.

Includes bibliographical references

Stochastic Resonance (SR) is a performance enhancement technique that applies an optimal level of noise to a sensory channel to improve perception. SR is low-power, low-mass, and non-pharmaceutical with no known long-term effects, so it is a potential countermeasure to performance degradation on space missions and other intense settings. SR theoretically produces a curve pattern with a characteristic inverted-U shape, where improvement is most prominent at an individually-specific optimal SR noise level. In this study, we investigate the effect of auditory and vestibular white noise on perceptual thresholds in visual, auditory, and tactile sensory modalities (six total test conditions). Perceptual thresholds were measured by an adaptive two-interval forced-choice task across a broad range of applied white noise levels. In addition to sham (no noise) conditions, we applied auditory white noise between 30 and 80 dB HL in increments of 10 dB HL for the visual and tactile tasks, and within ± 10 dB HL of the subjects' auditory threshold and 40 dB for the auditory task. We applied noisy galvanic vestibular stimulation between 0.0 and 1.0 mA in intervals of 0.17 mA for all three perceptual threshold tasks. We developed a novel algorithmic classification technique to improve experimental design and identify characteristic SR behavior in human perceptual thresholds. This approach is more accurate, objective, and can conclusively identify SR as the underlying mechanism for perceptual improvement from white noise stimulation. The algorithmic approach identified several of the 13 subjects as consistent with the characteristic SR model in each combination of applied white noise and sensory modality, and each subject was identified as an SR exhibitor in at least one of the six test conditions. Given the accuracy of the algorithm in classifying simulated subjects, we can conclude at the p < 0.05 level that at least one subject is exhibiting SR in each of the six test conditions. Further, a paired t-test between retested thresholds at sham and a previously identified theoretical optimal noise level indicated significant improvement (p < 0.05) in auditory thresholds resulting from both auditory white noise and noisy galvanic vestibular stimulation.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798819387665Subjects--Topical Terms:

1002622
Aerospace engineering.
Subjects--Index Terms:

Algorithmic classificationIndex Terms--Genre/Form:

542853
Electronic books.

Identifying Stochastic Resonance in Perceptual Thresholds with Auditory and Vestibular White Noise.
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520 $a Stochastic Resonance (SR) is a performance enhancement technique that applies an optimal level of noise to a sensory channel to improve perception. SR is low-power, low-mass, and non-pharmaceutical with no known long-term effects, so it is a potential countermeasure to performance degradation on space missions and other intense settings. SR theoretically produces a curve pattern with a characteristic inverted-U shape, where improvement is most prominent at an individually-specific optimal SR noise level. In this study, we investigate the effect of auditory and vestibular white noise on perceptual thresholds in visual, auditory, and tactile sensory modalities (six total test conditions). Perceptual thresholds were measured by an adaptive two-interval forced-choice task across a broad range of applied white noise levels. In addition to sham (no noise) conditions, we applied auditory white noise between 30 and 80 dB HL in increments of 10 dB HL for the visual and tactile tasks, and within ± 10 dB HL of the subjects' auditory threshold and 40 dB for the auditory task. We applied noisy galvanic vestibular stimulation between 0.0 and 1.0 mA in intervals of 0.17 mA for all three perceptual threshold tasks. We developed a novel algorithmic classification technique to improve experimental design and identify characteristic SR behavior in human perceptual thresholds. This approach is more accurate, objective, and can conclusively identify SR as the underlying mechanism for perceptual improvement from white noise stimulation. The algorithmic approach identified several of the 13 subjects as consistent with the characteristic SR model in each combination of applied white noise and sensory modality, and each subject was identified as an SR exhibitor in at least one of the six test conditions. Given the accuracy of the algorithm in classifying simulated subjects, we can conclude at the p < 0.05 level that at least one subject is exhibiting SR in each of the six test conditions. Further, a paired t-test between retested thresholds at sham and a previously identified theoretical optimal noise level indicated significant improvement (p < 0.05) in auditory thresholds resulting from both auditory white noise and noisy galvanic vestibular stimulation.
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