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Dive into the research topics where Philip McAleer is active.

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Featured researches published by Philip McAleer.


NeuroImage | 2015

The human voice areas: Spatial organization and inter-individual variability in temporal and extra-temporal cortices.

Cyril Pernet; Philip McAleer; Marianne Latinus; Krzysztof J. Gorgolewski; Ian Charest; Patricia E. G. Bestelmeyer; Rebecca Watson; David Fleming; Frances Crabbe; Mitchell Valdés-Sosa; Pascal Belin

fMRI studies increasingly examine functions and properties of non-primary areas of human auditory cortex. However there is currently no standardized localization procedure to reliably identify specific areas across individuals such as the standard ‘localizers’ available in the visual domain. Here we present an fMRI ‘voice localizer’ scan allowing rapid and reliable localization of the voice-sensitive ‘temporal voice areas’ (TVA) of human auditory cortex. We describe results obtained using this standardized localizer scan in a large cohort of normal adult subjects. Most participants (94%) showed bilateral patches of significantly greater response to vocal than non-vocal sounds along the superior temporal sulcus/gyrus (STS/STG). Individual activation patterns, although reproducible, showed high inter-individual variability in precise anatomical location. Cluster analysis of individual peaks from the large cohort highlighted three bilateral clusters of voice-sensitivity, or “voice patches” along posterior (TVAp), mid (TVAm) and anterior (TVAa) STS/STG, respectively. A series of extra-temporal areas including bilateral inferior prefrontal cortex and amygdalae showed small, but reliable voice-sensitivity as part of a large-scale cerebral voice network. Stimuli for the voice localizer scan and probabilistic maps in MNI space are available for download.


Current Biology | 2013

Norm-based coding of voice identity in human auditory cortex

Marianne Latinus; Philip McAleer; Patricia E. G. Bestelmeyer; Pascal Belin

Summary 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 [2–6], 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, 7–11]. 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.


Perception | 2016

Low Vocal Pitch Preference Drives First Impressions Irrespective of Context in Male Voices but Not in Female Voices

Maria S. Tsantani; Pascal Belin; Helena Paterson; Philip McAleer

Vocal pitch has been found to influence judgments of perceived trustworthiness and dominance from a novel voice. However, the majority of findings arise from using only male voices and in context-specific scenarios. In two experiments, we first explore the influence of average vocal pitch on first-impression judgments of perceived trustworthiness and dominance, before establishing the existence of an overall preference for high or low pitch across genders. In Experiment 1, pairs of high- and low-pitched temporally reversed recordings of male and female vocal utterances were presented in a two-alternative forced-choice task. Results revealed a tendency to select the low-pitched voice over the high-pitched voice as more trustworthy, for both genders, and more dominant, for male voices only. Experiment 2 tested an overall preference for low-pitched voices, and whether judgments were modulated by speech content, using forward and reversed speech to manipulate context. Results revealed an overall preference for low pitch, irrespective of direction of speech, in male voices only. No such overall preference was found for female voices. We propose that an overall preference for low pitch is a default prior in male voices irrespective of context, whereas pitch preferences in female voices are more context- and situation-dependent. The present study confirms the important role of vocal pitch in the formation of first-impression personality judgments and advances understanding of the impact of context on pitch preferences across genders.


I-perception | 2013

Uni- and Multisensory Brain Areas are Synchronised across Spectators When Watching Unedited Dance Recordings

Corinne Jola; Philip McAleer; Marie-Hélène Grosbras; Scott A. Love; Gordon Morison; Frank E. Pollick


Journal of Vision | 2010

Obtaining features for the recognition of human movement style

Philip McAleer; Cali M. Fidopiastis; Vic Braden; Frank E. Pollick


Archive | 2007

Neural noise and autism spectrum disorders

David R. Simmons; Lawrie S. McKay; Philip McAleer; E. Toal; Ashley E. Robertson; Frank E. Pollick


Cortex | 2014

Experience in judging intent to harm modulates parahippocampal activity: an fMRI study with experienced CCTV operators

Karin Petrini; Philip McAleer; Catherine Neary; Julia Gillard; Frank E. Pollick


PLOS ONE | 2017

The sound of trustworthiness: acoustic-based modulation of perceived voice personality

Pascal Belin; Bibi Boehme; Philip McAleer


PLOS ONE | 2014

Familiarity with interest breeds gossip: contributions of emotion, expectation, and reputation.

Bo Yao; Graham G. Scott; Philip McAleer; Patrick J. O'Donnell; Sara C. Sereno


Archive | 2018

Using Open Access Peer-Reviews and Pre-Printed Submissions to Improve Students’ Comprehension of Academic Writing

Philip McAleer; Niamh Stack; Heather Cleland Woods; Helena Paterson

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Pascal Belin

Université de Montréal

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Marianne Latinus

François Rabelais University

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Bo Yao

University of Manchester

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