Simon Faghel-Soubeyrand

under construction..

1. Faghel-Soubeyrand, S., Ramon, M., Bamps, E., Zoia, M., Woodhams, J., Richoz, A-R., Caldara, R., Gosselin, F., and Charest, I. (2023). Decoding face recognition abilities in the human brain. biorXiv

2. Faghel-Soubeyrand, S., Richoz, A-R., Waeber, D., Woodhams, J., Gosselin, F., Caldara, R., and Charest, I. (2022). Neural computations in prosopagnosia. biorXiv

3. Faghel-Soubeyrand, S., Kloess, JA., Gosselin, F., Charest, I. and Woodhams, J. (2021). Diagnostic Features for Human Categorisation of Adult and Child Faces. (2022) Front. Psychol. 12:775338.

4. Faghel-Soubeyrand, S., Lecomte, T., Bravo, M. A., Lepage, M., Potvin, S., Abdel-Baki, A., Villeneuve, M., and Gosselin, F. (2020). Abnormal visual representations associated with confusion of perceived facial expression in schizophrenia with social anxiety disorder. NPJ Schizophrenia, 6(1), 28.

5. Faghel-Soubeyrand, S., Alink, A., Bamps, E., Gosselin, F., and Charest, I. (2019). Visual representations supporting category-specific information about visual objects in the brain. Cognitive Computational Neuroscience, Berlin. Conference paper.

6. Faghel-Soubeyrand, S., Dupuis-Roy, N., and Gosselin, F. (2019). Inducing the use of right-eye enhances face-sex categorization performance. Journal of Experimental Psychology: General.

7. Dupuis-Roy, N., Faghel-Soubeyrand, S., and Gosselin, F. (2018). Time course of the use of chromatic and achromatic facial information for sex categorization. Vision Research

8. Gosselin*, F. and Faghel-Soubeyrand*, S. (2017). Stationary objects flashed periodically appear to move during smooth pursuit eye movement. Perception, 46(7), 874-881.

My research focuses on understanding how the specific content of our perception and experiences guides our behaviour, with a specific focus on visual recognition and episodic memory. I'm interested in characterising how our internal representations (e.g. visual information about objects/faces) are supported by our brain, how idiosyncrasies in behaviour (e.g. memorisation ability across individuals) affect these representations, and in understanding how the specific content our mind represents (e.g. visual or concept-like information from an every-day scene at the office) is transformed with the learning of new memories, specifically during sleep. To understand these processes, I use a combination of behavioural and brain imaging techniques (electroencephalography, functional MRI, EEG-fMRI) as well as machine learning to probe brain representations in a range of different individuals.

During my Postdoctoral research (University of Oxford, Staresinalab), I will tackle questions related to the neural code of episodic memories as they are transformed during sleep.

I am funded by a Newton International Fellowship from The Royal Society. As of 2024, I have also been appointed as a Junior Research Fellow at Wolfson College.