2015
DOI: 10.3389/fncom.2015.00101
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A neuronal network model for context-dependence of pitch change perception

Abstract: Many natural stimuli have perceptual ambiguities that can be cognitively resolved by the surrounding context. In audition, preceding context can bias the perception of speech and non-speech stimuli. Here, we develop a neuronal network model that can account for how context affects the perception of pitch change between a pair of successive complex tones. We focus especially on an ambiguous comparison—listeners experience opposite percepts (either ascending or descending) for an ambiguous tone pair depending on… Show more

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Cited by 2 publications
(3 citation statements)
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References 45 publications
(92 reference statements)
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“…A further limitation of the threshold model is that it is limited to tone pairs, ignoring the context effect shown in the literature (Englitz et al, 2013 ; Chambers and Pressnitzer, 2014 ; Chambers et al, 2017 ). The neuronal network model by Huang et al ( 2015 ) predicts these context effects and, additionally, the sigmoid response pattern as a function of the pitch classes of tritone pairs without context. It is assumed that different Shepard tones correspond to different presynaptic strengths, affecting a synaptic weighting function.…”
Section: Discussionmentioning
confidence: 99%
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“…A further limitation of the threshold model is that it is limited to tone pairs, ignoring the context effect shown in the literature (Englitz et al, 2013 ; Chambers and Pressnitzer, 2014 ; Chambers et al, 2017 ). The neuronal network model by Huang et al ( 2015 ) predicts these context effects and, additionally, the sigmoid response pattern as a function of the pitch classes of tritone pairs without context. It is assumed that different Shepard tones correspond to different presynaptic strengths, affecting a synaptic weighting function.…”
Section: Discussionmentioning
confidence: 99%
“…The threshold model predicted a variety of ascending/descending patterns for tritone pairs, including patterns of pronounced pitch class and envelope effects and even more complex patterns, depending on the form of the threshold function. The threshold function can be interpreted as an internal spectral weighting function (Terhardt et al, 1982b ) or a synaptic weighting function (Huang et al, 2015 ), with the result that a specific frequency region is particularly important for pitch. When such a preference region is clearly distinct, implemented through steep decreasing threshold functions, the threshold model predicts the typical findings of Deutsch ( 1991 ), that is, pronounced pitch class and small envelope effects.…”
Section: Discussionmentioning
confidence: 99%
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