23 citations · 59 across the 12 of their papers we have counts for
12 papers
Riemannian Geometry for Pre-trained Language Model Embeddings
Szczepan Konior, Alexandre Quemy, Przemysław Klocek +2
Understanding the geometric structure of pre-trained language model embeddings matters for interpretability and safety. We ask whether sentence-level classification signal lives in…
The Riemannian Means Field Classifier for EEG-Based BCI Data
Anton Andreev, Grégoire Cattan, Marco Congedo
A substantial amount of research has demonstrated the robustness and accuracy of the Riemannian minimum distance to mean (MDM) classifier for all kinds of EEG-based brain--computer…
Towards an architectural framework for intelligent virtual agents using probabilistic programming
Anton Andreev, Grégoire Cattan
We present a new framework called KorraAI for conceiving and building embodied conversational agents (ECAs). Our framework models ECAs' behavior considering contextual information,…
First steps towards quantum machine learning applied to the classification of event-related potentials
Grégoire Cattan, Alexandre Quemy, Anton Andreev
Low information transfer rate is a major bottleneck for brain-computer interfaces based on non-invasive electroencephalography (EEG) for clinical applications. This led to the deve…
A comparison of mobile VR display running on an ordinary smartphone with standard PC display for P300-BCI stimulus presentation
Grégoire Cattan, Anton Andreev, Cesar Mendoza +1
A brain-computer interface (BCI) based on electroencephalography (EEG) is a promising technology for enhancing virtual reality (VR) applications-in particular, for gaming. We focus…
Engineering study on the use of Head-Mounted display for Brain- Computer Interface
Anton Andreev, Grégoire Cattan, M Congedo
In this article, we explore the availability of head-mounted display (HMD) devices which can be coupled in a seamless way with P300-based brain-computer interfaces (BCI) using elec…
Building Brain Invaders: EEG data of an experimental validation
Gijsbrecht Van Veen, Alexandre Barachant, Anton Andreev +3
We describe the experimental procedures for a dataset that we have made publicly available at https://doi.org/10.5281/zenodo.2649006 in mat and csv formats. This dataset contains e…
Brain Invaders Adaptive versus Non-Adaptive P300 Brain-Computer Interface dataset
Erwan Vaineau, Alexandre Barachant, Anton Andreev +3
We describe the experimental procedures for a dataset that we have made publicly available at https://doi.org/10.5281/zenodo.1494163 in mat and csv formats. This dataset contains e…
Implementation of a Daemon for OpenBCI
Maxime Chabance, Grégoire Cattan, Bastien Maureille
This document describes a technical study of the electroencephalographic (EEG) headset OpenBCI (New York, US). In comparison to research grade EEG, the OpenBCI headset is affordabl…
Passive Head-Mounted Display Music-Listening EEG dataset
Grégoire Cattan, Pedro C. Rodrigues, Marco Congedo
We describe the experimental procedures for a dataset that we have made publicly available at https://doi.org/10.5281/zenodo.2617084 in mat (Mathworks, Natick, USA) and csv formats…
Dataset of an EEG-based BCI experiment in Virtual Reality and on a Personal Computer
Grégoire Cattan, A. Andreev, P. Rodrigues +1
We describe the experimental procedures for a dataset that we have made publicly available at https://doi.org/10.5281/zenodo.2605204 in mat (Mathworks, Natick, USA) and csv formats…
Analysis of tagging latency when comparing event-related potentials
Grégoire Cattan, Anton Andreev, Bastien Maureille +1
Event-related potentials (ERPs) are very small voltage produced by the brain in response to external stimulation. In order to detect and evaluate an ERP in an ongoing electroenceph…