Norm-based coding of voice identity in human auditory cortex

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Norm-based coding of voice identity in human auditory cortex. / Latinus, M.; McAleer, P.; Bestelmeyer, P.E. et al.
In: Current Biology, Vol. 23, 23.05.2013, p. 1075-80.

Research output: Contribution to journalArticlepeer-review

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Latinus, M, McAleer, P, Bestelmeyer, PE & Belin, P 2013, 'Norm-based coding of voice identity in human auditory cortex', Current Biology, vol. 23, pp. 1075-80. https://doi.org/10.1016/j.cub.2013.04.055

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Latinus M, McAleer P, Bestelmeyer PE, Belin P. Norm-based coding of voice identity in human auditory cortex. Current Biology. 2013 May 23;23:1075-80. doi: 10.1016/j.cub.2013.04.055

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Latinus, M. ; McAleer, P. ; Bestelmeyer, P.E. et al. / Norm-based coding of voice identity in human auditory cortex. In: Current Biology. 2013 ; Vol. 23. pp. 1075-80.

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TY - JOUR

T1 - Norm-based coding of voice identity in human auditory cortex

AU - Latinus, M.

AU - McAleer, P.

AU - Bestelmeyer, P.E.

AU - Belin, P.

PY - 2013/5/23

Y1 - 2013/5/23

N2 - Listeners exploit small interindividual variations around a generic acoustical structure to discriminate and identify individuals from their voice—a key requirement for social interactions. The human brain contains temporal voice areas (TVA) [1] involved in an acoustic-based representation of voice identity [2,3,4,5,6], but the underlying coding mechanisms remain unknown. Indirect evidence suggests that identity representation in these areas could rely on a norm-based coding mechanism [4,7,8,9,10,11]. Here, we show by using fMRI that voice identity is coded in the TVA as a function of acoustical distance to two internal voice prototypes (one male, one female)—approximated here by averaging a large number of same-gender voices by using morphing [12]. Voices more distant from their prototype are perceived as more distinctive and elicit greater neuronal activity in voice-sensitive cortex than closer voices—a phenomenon not merely explained by neuronal adaptation [13,14]. Moreover, explicit manipulations of distance-to-mean by morphing voices toward (or away from) their prototype elicit reduced (or enhanced) neuronal activity. These results indicate that voice-sensitive cortex integrates relevant acoustical features into a complex representation referenced to idealized male and female voice prototypes. More generally, they shed light on remarkable similarities in cerebral representations of facial and vocal identity.

AB - Listeners exploit small interindividual variations around a generic acoustical structure to discriminate and identify individuals from their voice—a key requirement for social interactions. The human brain contains temporal voice areas (TVA) [1] involved in an acoustic-based representation of voice identity [2,3,4,5,6], but the underlying coding mechanisms remain unknown. Indirect evidence suggests that identity representation in these areas could rely on a norm-based coding mechanism [4,7,8,9,10,11]. Here, we show by using fMRI that voice identity is coded in the TVA as a function of acoustical distance to two internal voice prototypes (one male, one female)—approximated here by averaging a large number of same-gender voices by using morphing [12]. Voices more distant from their prototype are perceived as more distinctive and elicit greater neuronal activity in voice-sensitive cortex than closer voices—a phenomenon not merely explained by neuronal adaptation [13,14]. Moreover, explicit manipulations of distance-to-mean by morphing voices toward (or away from) their prototype elicit reduced (or enhanced) neuronal activity. These results indicate that voice-sensitive cortex integrates relevant acoustical features into a complex representation referenced to idealized male and female voice prototypes. More generally, they shed light on remarkable similarities in cerebral representations of facial and vocal identity.

KW - NEUROIMAGING

KW - PSYCHOLOGY

KW - EXPERIMENTAL

U2 - 10.1016/j.cub.2013.04.055

DO - 10.1016/j.cub.2013.04.055

M3 - Article

VL - 23

SP - 1075

EP - 1080

JO - Current Biology

JF - Current Biology

SN - 0960-9822

ER -