title: A unified coding strategy for processing faces and voices.
abstract: Both faces and voices are rich in socially-relevant information, which humans are remarkably adept at extracting, including a person's identity, age, gender, affective state, personality, etc. Here, we review accumulating evidence from behavioral, neuropsychological, electrophysiological, and neuroimaging studies which suggest that the cognitive and neural processing mechanisms engaged by perceiving faces or voices are highly similar, despite the very different nature of their sensory input. The similarity between the two mechanisms likely facilitates the multi-modal integration of facial and vocal information during everyday social interactions. These findings emphasize a parsimonious principle of cerebral organization, where similar computational problems in different modalities are solved using similar solutions.
authors.affiliation: School of Psychological Sciences and Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel. gality@post.tau.ac.il
authors.forename: Galit
authors.initials: G
authors.lastname: Yovel
authors.forename: Pascal
authors.initials: P
authors.lastname: Belin
mesh_terms: D000161:Acoustic Stimulation; D001307:Auditory Perception / Q000502:physiology*; D001921:Brain / Q000502:physiology*; D004569:Electroencephalography; D005071:Evoked Potentials; D005145:Face; D006801:Humans; D059906:Neuroimaging; D010364:Pattern Recognition, Visual / Q000502:physiology*; D010775:Photic Stimulation; D021641:Recognition, Psychology / Q000502:physiology*; D014831:Voice