Peer-reviewed Publications

PUBLISHED ARTICLES

Gouret, A.*, Le Bars, S.*, Porssut, T., Waszak, F., & Chokron, S. (2024). Advancements in brain-computer interfaces for the rehabilitation of unilateral spatial neglect: a concise review. Frontiers in Neuroscience, 18, 1373377. [Link]

* These authors share first authorship

Le Bars, S., Bourgeois-Gironde, S., Wyart, V., Dilan-Sari, I., Pacherie, E. & Chambon, V. (2022). Motor coordination and strategic cooperation in joint action. Psychological Science. [Link]

Le Bars, S., Chokron, S., Balp, R., Douibi, K., & Waszak, F. (2021). Theoretical Perspective on an Ideomotor Brain-Computer Interface: Toward a Naturalistic and Non-invasive Brain-Computer Interface Paradigm Based on Action-Effect Representation. Frontiers in Human Neuroscience, 658. [Link]

Douibi, K., Le Bars, S., Lemontey, A., Nag, L., Balp, R., & Breda, G. (2021). Toward EEG-Based BCI Applications for Industry 4.0: Challenges and Possible Applications. Frontiers in Human Neuroscience, 456. [Link]

Attié, E., Le Bars, S., & Quenel, I. (2021). Towards Ethical Neuromarketing 2.0 Based on Artificial Intelligence. In Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry (pp. 619-638). IGI Global. [Link]

Le Bars, S., Devaux, A., Nevidal, T., Chambon, V., & Pacherie, E. (2020). Agents' pivotality and reward fairness modulate sense of agency in cooperative joint action. Cognition. [Link]

Le Bars, S., Darriba, A., & Waszak, F. (2019). Event-related brain potentials to self-triggered tones: The impact of action type and impulsivity traits. Neuropsychologia. [Link]

Le Bars, S., Hsu, Y. F., & Waszak, F. (2016). The impact of subliminal effect images in voluntary vs. stimulus-driven actions. Cognition, 156, 6-15. [Link]

Hsu, Y. F., Le Bars, S., Hämäläinen, J. A., & Waszak, F. (2015). Distinctive representation of mispredicted and unpredicted prediction errors in human electroencephalography. Journal of Neuroscience, 35(43), 14653-14660. [Link]

PUBLISHED PROCEEDINGS

Delaux, A., Gouret, A., Carponcy, J., Porssut, T., Rouzé, S., Waszak, F., Chokron, S., & Le Bars, S. (2024, October). In Search of Lost Attention: A BCI-Based Therapeutical Safari Tour in VR. In 2024 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) (pp. 1112-1117). IEEE. [Link]

Bonhomme, E., Chambon, V., & Le Bars, S. (2024, July). Out-of-lab BMIs: an autoencoder for EEG classification. In 5th International Neuroergonomics Conference (pp. 124-129). Frontiers in Neuroergonomics. [Link]

El Hadj, S., Berkani, Y., Le Bars, S., & Balp, R. (2023, December). Well-being of sedentary workers: A novel approach based on circadian rhythms monitoring. In 2023 International Conference on Computational Science and Computational Intelligence (CSCI) (pp. 1514-1516). IEEE. [Link]

Porssut, T., Gouret, A., Bryzgalov, D., Lafont, A., Rouze, S., & Le Bars, S. (2023, October). Low-Contrast SSVEP Stimuli to Improve User Experience of Brain-Computer Interface Involving Virtual Reality. In 2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) (pp. 793-798). IEEE. [Link]

Bryzgalov, D., Gaspard, A., Waszak, F., & Le Bars, S. (2023). Steady-State Visual Evoked Potential Classifiers for their use in Industrial Brain-Computer Interfaces. In 2022 International Conference on Computational Science and Computational Intelligence (CSCI). IEEE. [Link], [pdf]

Balp, R., & Le Bars, S. (2023). Monitoring Circadian Rhythms of Night-Shift Operators with Hidden Markov Models. In 2022 International Conference on Computational Science and Computational Intelligence (CSCI). IEEE. [Link], [pdf]

Porssut, T., Gouret, A., & Le Bars, S. (2022). Ergonomic 3D Flickers for VEP Based BCI Paradigm to interact in Virtual Reality using Deep Learning. The eleventh International Conference on Global Health Challenges. [Link]

Douibi, K., Balp, R., & Le Bars, S. (2022). Exploring Data Leakage in EEG based Brain-Computer Interfaces: Overfitting Challenges. ICDSTA 2022 : International Conference on Data Science, Technologies and Applications, Boston, United States. [Link] [pdf]

Le Bars, S., Cuzin, M., Rouzé, J.F., Rouzé, S. (2021). How to Promote Patients’ adherence to Treatments based on Virtual Reality? A first exploration of Virtual Environments Preferences according to socio-demograhic factors. The tenth International Conference on Global Health Challenges. [Link]