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      An objective, sensitive and ecologically valid neural measure of rapid human individual face recognition

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          Abstract

          Humans may be the only species able to rapidly and automatically recognize a familiar face identity in a crowd of unfamiliar faces, an important social skill. Here, by combining electroencephalography (EEG) and fast periodic visual stimulation (FPVS), we introduce an ecologically valid, objective and sensitive neural measure of this human individual face recognition function. Natural images of various unfamiliar faces are presented at a fast rate of 6 Hz, allowing one fixation per face, with variable natural images of a highly familiar face identity, a celebrity, appearing every seven images (0.86 Hz). Following a few minutes of stimulation, a high signal-to-noise ratio neural response reflecting the generalized discrimination of the familiar face identity from unfamiliar faces is observed over the occipito-temporal cortex at 0.86 Hz and harmonics. When face images are presented upside-down, the individual familiar face recognition response is negligible, being reduced by a factor of 5 over occipito-temporal regions. Differences in the magnitude of the individual face recognition response across different familiar face identities suggest that factors such as exposure, within-person variability and distinctiveness mediate this response. Our findings of a biological marker for fast and automatic recognition of individual familiar faces with ecological stimuli open an avenue for understanding this function, its development and neural basis in neurotypical individual brains along with its pathology. This should also have implications for the use of facial recognition measures in forensic science.

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          The distributed human neural system for face perception

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            Looking at upside-down faces.

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              Understanding the recognition of facial identity and facial expression.

              Faces convey a wealth of social signals. A dominant view in face-perception research has been that the recognition of facial identity and facial expression involves separable visual pathways at the functional and neural levels, and data from experimental, neuropsychological, functional imaging and cell-recording studies are commonly interpreted within this framework. However, the existing evidence supports this model less strongly than is often assumed. Alongside this two-pathway framework, other possible models of facial identity and expression recognition, including one that has emerged from principal component analysis techniques, should be considered.
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                Author and article information

                Journal
                R Soc Open Sci
                R Soc Open Sci
                RSOS
                royopensci
                Royal Society Open Science
                The Royal Society
                2054-5703
                June 2019
                5 June 2019
                5 June 2019
                : 6
                : 6
                : 181904
                Affiliations
                [1 ]Institute of Research in Psychological Science, Institute of Neuroscience, Université de Louvain , Louvain-la-Neuve, Belgium
                [2 ]BG Klinikum Hamburg , Bergedorfer Straße 10, 21033 Hamburg, Germany
                [3 ]Université de Lorraine, CNRS, CRAN , 54000 Nancy, France
                [4 ]CHRU-Nancy, Service de Neurologie , 54000 Nancy, France
                Author notes
                Author for correspondence: Bruno Rossion e-mail: bruno.rossion@ 123456univ-lorraine.fr
                [†]

                Indicates shared first authorship.

                Author information
                http://orcid.org/0000-0002-1845-3935
                Article
                rsos181904
                10.1098/rsos.181904
                6599768
                31312474
                b13783ca-b71d-4d30-a951-dee1feb0eb4b
                © 2019 The Authors.

                Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.

                History
                : 7 November 2018
                : 10 May 2019
                Funding
                Funded by: UE-Marie Curie;
                Award ID: F2.11800.013
                Funded by: Fonds National de la Recherche scientifique;
                Categories
                1001
                205
                Psychology and Cognitive Neuroscience
                Research Article
                Custom metadata
                June, 2019

                familiar face identity,natural images,fast periodic visual stimulation,eeg,inversion

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