Simon Faghel-Soubeyrand

1. Xianhui He, Philipp K. Büchel, Simon Faghel-Soubeyrand, Janina Klingspohr, Marcel S. Kehl, & Bernhard Staresina (2025). Sleep strengthens successor representations of learned sequences. bioRxiv. https://doi.org/10.1101/2025.06.11.658893v1

2. Simon Faghel-Soubeyrand, Polina Perzich, & Bernhard Staresina (2025). Slow wave sleep is associated with a reorganisation of episodic memory networks. Neuropsychologia. Special Issue: sleep, memory and emotion

3. Faghel-Soubeyrand, S., Ramon, M., Bamps, E., Zoia, M., Woodhams, J., Richoz, A-R., Caldara, R., Gosselin, F., and Charest, I. (2024). Decoding face recognition abilities in the human brain. PNASNexus

4. Faghel-Soubeyrand, S., Richoz, A-R., Waeber, D., Woodhams, J., Gosselin, F., Caldara, R., and Charest, I. (2024). Neural computations in prosopagnosia. Cerebral Cortex

5. Brotherwood, P., Faghel-Soubeyrand, S., Van Den Bosch, J., and Charest, I. (2023). Characterising the spatiotemporal profiles of neural object representations using implicit and explicit similarity judgement tasks. Cognitive Computational Neuroscience

6. Hadid, V., MacLean, M., Grand-Maitre, C., Dandrimont, J., Higgins, M., Faghel-Soubeyrand, S., Lepore, F. (2023). Early processing of unattended emotional faces increases the brain response to attended emotional expressions: an SSVEP study. 18th International Symposium on Medical Information

7. Faghel-Soubeyrand, S., Kloess, J.A., Gosselin, F., Charest, I., and Woodhams, J. (2021). Diagnostic Features for Human Categorisation of Adult and Child Faces. Frontiers in Psychology

8. 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. Schizophrenia

9. 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.

10. 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.

11. 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.

12. 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 teaching spans undergraduate and graduate levels in cognitive neuroscience, psychology, and quantitative methods. I have taught both theoretical content and practical techniques in brain imaging, experimental design, data analysis, and programming (Python, Matlab).

• University of Oxford

  • Demonstrator — Decoding the Mind practicals (2023, 2024)
  
• Université de Montréal

  • Lecturer — Programming in Cognitive Neuroscience (PSY2038/6976) (2020–2021)
  • Lecturer — Visual Cognition Laboratory (PSY2007) (2019)
  • Teaching Assistant — Neuroanatomy and Neurophysiology (PSY1048), Neuroscience of Cognition and Behaviour (PSY1049), and Visual Cognition Laboratory (PSY2007) (2015–2018)
  

human memory | vision | sleep | EEG | Intracranial EEG | fMRI | deep learning

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 — such as visual information about objects and faces — are supported by the 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 am tackling questions related to the neural code of episodic memories as they are transformed during sleep.

I was funded by a Newton International Fellowship from The Royal Society (2023-2025). I am currently a Banting Postdoctoral Fellow in the Department of Experimental Psychology at the University of Oxford, and a Junior Research Fellow at Wolfson College.