Scanning faces: a deep learning approach to studying eye movements in prosopagnosia
Only a few fixations during face scanning are required to differentiate controls from acquired prosopagnosia, with the latter showing anomalous biases. Developmental prosopagnosic scanpaths resemble degraded control scanpaths rather than anomalous biases. This study shows the potential of deep learning to identify abnormal behavioral markers in a disorder of complex visual processing.
Authors
- İpek Oruç (ORCID: https://orcid.org/0000-0003-3658-0046)
- Jason J.S. Barton (ORCID: https://orcid.org/0000-0001-8264-3795)
- Atlas Kazemian (ORCID: https://orcid.org/0000-0001-7699-2964)
Institutions
- University of British Columbia (CA)
Publication Details
- Journal
- Frontiers in Neurology
- Published
- 2025-09-10
- DOI
- https://doi.org/10.3389/fneur.2025.1616509
- Citations
- 1
- Primary Topic
- Face Recognition and Perception
- Type
- article
- Field-Weighted Citation Impact
- 1.43
Funders
- Canadian Institutes of Health Research
- Natural Sciences and Engineering Research Council of Canada