Dynamics of the Auditory Continuity Illusion

Illusions give intriguing insights into perceptual and neural dynamics. In the auditory continuity illusion, two brief tones separated by a silent gap may be heard as one continuous tone if a noise burst with appropriate characteristics fills the gap. This illusion probes the conditions under which...

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Main Authors: Qianyi Cao, Noah Parks, Joshua H. Goldwyn
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-06-01
Series:Frontiers in Computational Neuroscience
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fncom.2021.676637/full
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author Qianyi Cao
Noah Parks
Joshua H. Goldwyn
author_facet Qianyi Cao
Noah Parks
Joshua H. Goldwyn
author_sort Qianyi Cao
collection DOAJ
description Illusions give intriguing insights into perceptual and neural dynamics. In the auditory continuity illusion, two brief tones separated by a silent gap may be heard as one continuous tone if a noise burst with appropriate characteristics fills the gap. This illusion probes the conditions under which listeners link related sounds across time and maintain perceptual continuity in the face of sudden changes in sound mixtures. Conceptual explanations of this illusion have been proposed, but its neural basis is still being investigated. In this work we provide a dynamical systems framework, grounded in principles of neural dynamics, to explain the continuity illusion. We construct an idealized firing rate model of a neural population and analyze the conditions under which firing rate responses persist during the interruption between the two tones. First, we show that sustained inputs and hysteresis dynamics (a mismatch between tone levels needed to activate and inactivate the population) can produce continuous responses. Second, we show that transient inputs and bistable dynamics (coexistence of two stable firing rate levels) can also produce continuous responses. Finally, we combine these input types together to obtain neural dynamics consistent with two requirements for the continuity illusion as articulated in a well-known theory of auditory scene analysis: responses persist through the noise-filled gap if noise provides sufficient evidence that the tone continues and if there is no evidence of discontinuities between the tones and noise. By grounding these notions in a quantitative model that incorporates elements of neural circuits (recurrent excitation, and mutual inhibition, specifically), we identify plausible mechanisms for the continuity illusion. Our findings can help guide future studies of neural correlates of this illusion and inform development of more biophysically-based models of the auditory continuity illusion.
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spelling doaj.art-ca7a481c85ce451083a52cecbafce9fc2022-12-21T22:02:25ZengFrontiers Media S.A.Frontiers in Computational Neuroscience1662-51882021-06-011510.3389/fncom.2021.676637676637Dynamics of the Auditory Continuity IllusionQianyi CaoNoah ParksJoshua H. GoldwynIllusions give intriguing insights into perceptual and neural dynamics. In the auditory continuity illusion, two brief tones separated by a silent gap may be heard as one continuous tone if a noise burst with appropriate characteristics fills the gap. This illusion probes the conditions under which listeners link related sounds across time and maintain perceptual continuity in the face of sudden changes in sound mixtures. Conceptual explanations of this illusion have been proposed, but its neural basis is still being investigated. In this work we provide a dynamical systems framework, grounded in principles of neural dynamics, to explain the continuity illusion. We construct an idealized firing rate model of a neural population and analyze the conditions under which firing rate responses persist during the interruption between the two tones. First, we show that sustained inputs and hysteresis dynamics (a mismatch between tone levels needed to activate and inactivate the population) can produce continuous responses. Second, we show that transient inputs and bistable dynamics (coexistence of two stable firing rate levels) can also produce continuous responses. Finally, we combine these input types together to obtain neural dynamics consistent with two requirements for the continuity illusion as articulated in a well-known theory of auditory scene analysis: responses persist through the noise-filled gap if noise provides sufficient evidence that the tone continues and if there is no evidence of discontinuities between the tones and noise. By grounding these notions in a quantitative model that incorporates elements of neural circuits (recurrent excitation, and mutual inhibition, specifically), we identify plausible mechanisms for the continuity illusion. Our findings can help guide future studies of neural correlates of this illusion and inform development of more biophysically-based models of the auditory continuity illusion.https://www.frontiersin.org/articles/10.3389/fncom.2021.676637/fullauditory scene analysisbistabilitycomputational neurosciencecontinuity illusionhysteresisneural dynamics
spellingShingle Qianyi Cao
Noah Parks
Joshua H. Goldwyn
Dynamics of the Auditory Continuity Illusion
Frontiers in Computational Neuroscience
auditory scene analysis
bistability
computational neuroscience
continuity illusion
hysteresis
neural dynamics
title Dynamics of the Auditory Continuity Illusion
title_full Dynamics of the Auditory Continuity Illusion
title_fullStr Dynamics of the Auditory Continuity Illusion
title_full_unstemmed Dynamics of the Auditory Continuity Illusion
title_short Dynamics of the Auditory Continuity Illusion
title_sort dynamics of the auditory continuity illusion
topic auditory scene analysis
bistability
computational neuroscience
continuity illusion
hysteresis
neural dynamics
url https://www.frontiersin.org/articles/10.3389/fncom.2021.676637/full
work_keys_str_mv AT qianyicao dynamicsoftheauditorycontinuityillusion
AT noahparks dynamicsoftheauditorycontinuityillusion
AT joshuahgoldwyn dynamicsoftheauditorycontinuityillusion