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.

Highlights

  • 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

  • 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 occipitotemporal cortex at 0.86 Hz and harmonics

  • The present paper reports the outcome of a novel experimental approach that attempts to capture the above outlined characteristics of human individual face recognition (IFR), i.e. a highly valid measure

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Summary

Participants

Sixteen people (12 females, mean age 1⁄4 21.31, s.d. 1⁄4 1.88, range 1⁄4 18–24, all right handed) took part in the experiment. All participants had normal or corrected-to-normal vision and no prior history of neurological illness

Stimuli
Procedure
Visual stimulation
EEG recording
Preprocessing
Frequency domain analysis
24 Hz 30 Hz
Fixation cross task
Familiarity questionnaires
Frequency-domain indexes of generic visual responses
Individual face recognition response
Specific familiar face identities
Individual participants
Potential applications
Limitations and extensions
Full Text
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