14:00 - 15:00
Dr Marie-Constance Corsi, Paris Brain Institute
Lectures, talks and seminars
Computer Science and Electronic Engineering, School of
Serafeim Perdikis serafeim.perdikis@essex.ac.uk
Despite promising technological advancements, Brain-Computer Interfaces (BCIs) still face challenges due to inter- and intra-subject variabilities in the ability to control such systems. Moreover, the neural mechanisms underlying BCI performance and training remain poorly understood.
In this talk, Marie-Constance Corsi will present recent findings on the use of brain interactions in BCIs, and in particular, how this enriched information can be used to both understand and improve BCIs.
Marie-Constance Corsi is an Inria research scientist at Paris Brain Institute in the NERV Lab. Her research currently focuses on the development of tools to address the “Brain-Computer Interface (BCI) inefficiency” issue, reflected by a non-negligible portion of users who cannot control the device even after extensive training. She essentially considers two main approaches: the search for neurophysiological markers of BCI training and the integration of multimodal data to enrich the information provided to the classifier.
In 2025, she received the Early Career Award from the International BCI Society. She has previously served as secretary general of the French academic association promoting the advances in BCI, called CORTICO, and as co-chair of the Postdocs and Students Committee of the BCI Society.