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The neural code behind face recognition abilities

View ORCID ProfileSimon Faghel-Soubeyrand, Meike Ramon, View ORCID ProfileEva Bamps, Matteo Zoia, View ORCID ProfileJessica Woodhams, View ORCID ProfileAnne-Raphaelle Richoz, View ORCID ProfileRoberto Caldara, Frédéric Gosselin, View ORCID ProfileIan Charest
doi: https://doi.org/10.1101/2022.03.19.484245
Simon Faghel-Soubeyrand
1Département de psychologie, Université de Montréal, Canada
2School of Psychology, University of Birmingham, UK
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  • ORCID record for Simon Faghel-Soubeyrand
  • For correspondence: i.charest@bham.ac.uk simon.faghel-soubeyrand@umontreal.ca
Meike Ramon
3Institute of Psychology, University of Lausanne, Switzerland
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Eva Bamps
5Center for Contextual Psychiatry, Department of Neurosciences, KU Leuven, Belgium
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  • ORCID record for Eva Bamps
Matteo Zoia
6Department for Biomedical Research, University of Bern, Switzerland
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Jessica Woodhams
2School of Psychology, University of Birmingham, UK
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Anne-Raphaelle Richoz
4Département de Psychology, Université de Fribourg, Switzerland
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  • ORCID record for Anne-Raphaelle Richoz
Roberto Caldara
4Département de Psychology, Université de Fribourg, Switzerland
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Frédéric Gosselin
1Département de psychologie, Université de Montréal, Canada
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Ian Charest
1Département de psychologie, Université de Montréal, Canada
2School of Psychology, University of Birmingham, UK
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  • ORCID record for Ian Charest
  • For correspondence: i.charest@bham.ac.uk simon.faghel-soubeyrand@umontreal.ca
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Summary

Why are some individuals better at recognising faces? We addressed this question by characterising the brain computations of individuals with extraordinary recognition abilities using high-density electroencephalographic signals and a combination of behavioural tests, artificial neural network models, and machine learning analyses. We found that individual face recognition ability can be decoded from brain activity in an extended temporal interval for face and non-face objects. We show that both visual and semantic brain computations contribute to these individual differences.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • Changes in the interpretation of analyses, the addition of appropriate references, rewriting of all sections to match new analyses, completion of figures, rewriting of captions to match new figures. Change in summary.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted May 30, 2022.
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The neural code behind face recognition abilities
Simon Faghel-Soubeyrand, Meike Ramon, Eva Bamps, Matteo Zoia, Jessica Woodhams, Anne-Raphaelle Richoz, Roberto Caldara, Frédéric Gosselin, Ian Charest
bioRxiv 2022.03.19.484245; doi: https://doi.org/10.1101/2022.03.19.484245
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The neural code behind face recognition abilities
Simon Faghel-Soubeyrand, Meike Ramon, Eva Bamps, Matteo Zoia, Jessica Woodhams, Anne-Raphaelle Richoz, Roberto Caldara, Frédéric Gosselin, Ian Charest
bioRxiv 2022.03.19.484245; doi: https://doi.org/10.1101/2022.03.19.484245

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