Biography
Dr Simon Ladouce is an Associate Researcher at the Cambridge Cognitive Architecture lab, working at the intersection of cognitive neuroscience, human-computer interaction, and architecture. His research examines the dynamic interplay between brain, body, and environment, with a particular focus on how environmental context, both natural and built, shapes human perception, attention, and behaviour in naturalistic settings. His work combines portable neuroimaging and body-based sensing methods, including mobile EEG, eye-tracking, and motion sensors, with AI-based approaches such as spatial computing, computer vision, and human activity recognition to provide contextualised insights into human cognition as it unfolds during everyday activities. Through ecologically grounded measurements of brain, body, and behaviour, Dr Ladouce’s work aims to inform evidence-based design approaches that promote health, wellbeing, and performance across both clinical and neurotypical populations.
Publications
Ladouce, S., Gillebert, C. (2025). Taking the eye-tracker out to dinner: characterizing spatial biases during an everyday life behaviour using computer vision. Scientific Reports.
Ladouce, S., Torre Tresols, J.J., Le Goff, K., Dehais, F. (2025). EEG-based Assessment of Long-Term Vigilance and Lapses of Attention using a User-Centered Frequency-Tagging Approach. Journal of Neural Engineering.
Dehais, F., Ayaz, H., Kawala-Sterniuk, A., Ladouce, S., Barreto, C., Karwowski, W. (2025). Non-Invasive Brain-Computer Interfaces. Book Chapter in Human-Computer Interaction: Foundations and Advances.
Ladouce, S., Dehais., F. (2024). Frequency-tagging of spatial attention using periliminal flickers. Imaging Neuroscience.
Dehais, F., Cabrera Castillos, K., Ladouce, S., Clisson, P. (2024). Leveraging Textured Flickers: A Leap Toward Practical, Visually Comfortable, and High-Performance Dry EEG Code-VEP BCI. Journal of Neural Engineering.
Liessens, J., Ladouce, S. (2024). The Contribution of Motion-Sensitive Brain Areas to Visual Speech Recognition. The Journal of Neuroscience.
Carey, L., Alexandrou, G., Ladouce, S., Kourtis, D., Berchicci, M., Hunter, A., Donaldson, D.I. (2024). Commit to your putting stroke: exploring the impact of Quiet Eye duration and neural activity on golf putting performance. Frontiers in Psychology.
Grasso-Cladera, A., Bremer, M., Ladouce, S., Parada, F. (2024). A systematic review of mobile brain/body imaging studies using the P300 event-related potentials to investigate cognition beyond the laboratory. Cognitive, Affective, & Behavioural Neuroscience.
Ladouce, S., Pietzker, M., Manzey, D., Dehais, F. (2024). Evaluation of a headphones-fitted EEG system for the recording of auditory evoked potentials and mental workload assessment. Behavioural Brain Research 460, 114827. doi: 10.1016/j.bbr.2023.114827
Mustile, M., Kourtis, D., Ladouce, S., Edwards, M.G., Volpe, D., Pilleri, M., Pelosin, E., Donaldson, D.I. & Ietswaart, M. (2024). Investigating the brain mechanisms of externally cued sit-to-stand movement in Parkinson's disease. Movement Disorders.
Mustile, M., Kourtis, D., Edwards, M.G., Ladouce, S., Volpe, D. Pilleri, M., Pelosin, E, Learmonth, G., Donaldson, D.I., Ietswaart, M. (2023). Characterising neuro-cognitive impairments in Parkinson’s with Mobile EEG when walking and stepping over obstacles. Brain Communications.
Cabrera Castillos, K., Ladouce, S., Darmet, L., Dehais, F. (2023). Burst c-VEP Based BCI: Optimizing stimulus design for enhanced classification with minimal calibration data and improved user experience. NeuroImage.
Dehais, F., Ladouce, S., Darmet, L., Torre Tresols, J.J., Calhan, D. (2023). Mental Workload Classification during simulated flight operations based on cardiac and neural dynamics recorded using the MUSE 2 low-cost system. 14th International Conference on Applied Human Factors and Ergonomics (AHFE 2023).
Darmet, L., Ladouce, S., Dehais, F. (2023). Shortened calibration of code-VEP based BCI by improved deep learning architecture and golden subjects pre-training. IEEE EMBS Conference on Neural Engineering. Baltimore, MD, USA.
Ladouce, S., Mustile, M., Ietswaart, M., Dehais, F. (2022). Capturing cognitive events embedded in the real-world using mobile EEG and Eye-Tracking. Journal of Cognitive Neuroscience.
Ladouce, S., Darmet, L., Ferraro, G., Torre Tresols, J.J., Velut, S., Dehais, F. (2022). Improving user experience of SSVEP BCI through low amplitude depth and high frequency stimuli design. Scientific Reports.
Roy, R., Hinss, M., Darmet, L., Ladouce, S., Jahanpour, E., Somon, B., Xu, X., Drougard, N., Dehais, F., Lotte, F. (2022). Retrospective on the first passive brain-computer interface competition on cross-session workload estimation. Frontiers in Neuroergonomics, Neurotechnology and Systems Neuroergonomics.
Dehais, F., Ladouce, S., Darmet, L., Nong, T.V., Ferraro, G., Torre Tresols, J.J., Velut, S., Labedan, P. (2022). Dual Passive Reactive Brain-Computer Interface: A Novel Approach to Human-Machine Symbiosis. Frontiers in Neuroergonomics, Neurotechnology and Systems Neuroergonomics.
Ladouce, S., Darmet, L., Ferraro, G., Torre Tresols, J.J., Dehais, F. (2021). Improving user experience of SSVEP BCI through reduction of stimuli amplitude depth. IEEE International Conference on Systems, Man, and Cybernetics (SMC).
Ladouce, S., Vareka, L. (2021). Prediction of Navigational Decisions in the Real-World: A Visual P300 Event- Related Potentials Brain-Computer Interface. International Journal of Human-Computer Interaction.
Mustile, M., Ladouce, S., Ietswaart, M., Donaldson, D. & Dudchenko, P. (2021). Mobile EEG reveals functionally dissociable dynamic processes supporting real‐world ambulatory obstacle avoidance: Evidence for early proactive control. European Journal of Neuroscience.
Ladouce, S., Ietswaart, M., Donaldson, D. & Dudchenko, P. (2019). Mobile EEG identifies the re-allocation of attention during real-world activity. Scientific Reports.
Ladouce, S., Ietswaart, M., Donaldson, D. & Dudchenko, P. (2017). Understanding Minds in Real-World Environments: Towards a Mobile Cognition Approach. Frontiers in Human Neuroscience.
