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Jeudi 27 mai 2021, visioconférence
Comme par le passé, cette manifestation était particulièrement destinée aux jeunes chercheurs de la communauté (étudiants master, doctorants, post-doc). Cependant, toute personne intéressée était la bienvenue !
La demi-journée a comporté une session de cours, présentés par trois invitées, puis une session durant laquelle les jeunes chercheurs avaient l’opportunité de présenter leurs travaux.
Les proceedings des présentations sont téléchargeables en suivant ce lien. Les vidéos enregistrées lors de cette journée sont disponibles ici.
programme de la demi-journée :
- 14h00-14h15 ouverture : Pr. François Cabestaing (Univ. Lille)
- 14h15-14h45 1er cours : M/EEG data analysis: where it all begins!,Dr. Marie-Constance Corsi (ICM Paris)
- 14h45-15h30 session présentations (1/2, 4 minutes/présentation). Chairwoman Dr. Raphaëlle Roy (ISAE-SUPAERO, ANITI)
- #1 : Maxence Naud et al. “Prediction of Cybersickness using EEG-based markers”
- #2 : Martin Guy et al. “Uncovering neurophysiological markers of the sense of agency in virtual reality”
- #3 : David Trocellier et al. “Identification of EEG markers that reflect expertise in attentional focus and motor imagery: Heading for neurofeedback procedures to improve sport performance”
- #4 : Tristan Venot et al. “Etude du lien entre agentivité, contrôle par le regard et activité du cortex moteur, vers une interface cerveau machine hybride avec Eye Tracker”
- #5 : Maria Sayu Yamamoto et al. “Should frequency band selection algorithms include neurophysiological constraints?”
- #6 : Sébastien Tadiello et al. “Modélisation de l’acceptabilité des procédures de rééducation post-accident vasculaire-cérébral (AVC) basées sur les interfaces cerveau-ordinateur (ICO)”
- #7 : Léna Kolodzienski et al. “Towards understanding the impact of mental task execution on user’s state, experience and performances in Mental Imagery(MI)- based Brain-Computer Interfaces”
- 15h30-16h00 2ème cours : Which questions should you ask yourself when designing BCI/NF user-training?, Dr. Léa Pillette (Ecole Centrale de Nantes)
- 16h00-16h30 pause
- 16h30-17h00 3ème cours : Brain Computer Interfaces: What’s Under the Hood?, Dr. Nathalie Gayraud (Facebook Reality Labs)
- 17h00-17h45 session présentations (2/2, 4 minutes/présentation). Chairwoman Dr. Raphaëlle Roy (ISAE-SUPAERO, ANITI)
- #1 : Xiaoqi Xu et al. “EEG-based mental workload estimation using precise electrode positions”
- #2 : Simon Ladouce et al. “Improving user experience of SSVEP-based BCI through the use of low amplitude visual stimuli”
- #3 : Ludovic Darmet et al. “Comparaison des méthodes de classification pour le paradigme SSVEP”
- #4 : Isabel Casso et al. “Influence of dry-electrode setup and classification algorithm on right and left-hand motor imagery BCI performance”
- #5 : Arne Van Den Kerchove et al. “EEG-based visual Brain Computer Interface for gaze-free communication”
- #6 : Arthur Desbois et al. “Functional Connectivity for BCI: OpenViBE implementation”
- #7 : Gaël Le Godais et al. “Decoding of articulatory and acoustic speech features from intracranial brain signals”
- #8 : Perrine Rose Seguin et al. “Much ado about neurotechnologies?”
- 17h45-18h00 clôture et transfert vers la réunion informelle
- 18h00-19h00 réunion informelle sur gather.town, Dr. Sylvain Chevallier (Univ. Versailles)
Bio : “Marie-Constance Corsi is a Postdoctoral researcher at Paris Brain Institute in the ARAMIS Lab. She obtained a MEng (2012) from IMT Atlantique and a PhD (2015) degree from Grenoble Alpes University. During her PhD at the CEA-LETI she developed alternative sensors (optical-pumped magnetometers) dedicated to biomagnetic measurements. Her current research 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 several training sessions. She essentially considers two main approaches: the search for neurophysiological markers of BCI training and the integration of multimodal data captured by innovative neuroimaging tools to enrich the information provided to the classifier. She serves as deputy secretary general of the French academic association promoting the advances in BCI, called CORTICO, and as active member of the Student and Postdoc Committee of the BCI Society.”
Bio : “Léa Pillette obtained her PhD degree in computer science from the University of Bordeaux and Inria (Potioc team) in 2019. She is currently in post-doc at Ecole Centrale de Nantes (France). Her thesis and post-doctoral research have in common the aim of designing new technological approaches with applications to major public health issues. During her PhD she focused on BCI user training, during which users learn to produce different patterns of brain activity to control the BCI. She specifically focused on the feedback that is provided to the users regarding the modifications occurring in their brain activity. She made several contributions to assess how users’ profile, e.g., their autonomy, influenced the type of feedback to favor, e.g., include social presence and emotional support in the content of the feedback.”
Bio : “Nathalie T.h Gayrayd is a research scientist and manager at Facebook, NY. She investigates the application of deep learning and signal processing methods to enable and enhance neuromotor control. She received a MSc and a BSc degree in computer science and engineering from the University of Ioannina in 2009 and 2013, respectively, and a MSc in computational biology and biomedicine and a PhD on automatic control and signal processing with specialization on brain computer interfaces from Université Côte d’Azur and Inria Sophia Antipolis – Méditerranée, France in 2015 and 2018 respectively.”