Louis Korczowski

Independent Scientist

The Eighth International Brain-Computer Interface (BCI) Meeting was held June 7-9, 2021 in a virtual format. The conference continued the BCI Meeting series' interactive nature with 21 workshops covering the breadth of topics in BCI (also called brain-machine interface) research. Some workshops provided detailed examinations of methods, hardware, o...

We describe the experimental procedures for a dataset that we have made publicly available at https://doi.org/10.5281/zenodo.3267301 in mat and csv formats. This dataset contains electroencephalographic (EEG) recordings of 38 subjects playing in pair to the multiuser version of a visual P300-based Brain-Computer Interface (BCI) named Brain Invaders...

We describe the experimental procedures for a dataset that we have made publicly available at https://doi.org/10.5281/zenodo.3267307 in mat and csv formats. This dataset contains electroencephalographic (EEG) recordings of 44 subjects playing in pair to the multi-user version of a visual P300 Brain-Computer Interface (BCI) named Brain Invaders. The...

We describe the experimental procedures for the bi2014a dataset that we have made publicly available at https://doi.org/10.5281/zenodo.3266223 in mat and csv formats. This dataset contains electroencephalographic (EEG) recordings of 71 subjects playing to a visual P300 Brain-Computer Interface (BCI) videogame named Brain Invaders. The interface use...

We describe the experimental procedures for an experiment dataset that we have made publicly available at https://doi.org/10.5281/zenodo.3266930 in mat and csv formats. This dataset contains electroencephalographic (EEG) recordings of 50 subjects playing to a visual P300 Brain-Computer Interface (BCI) videogame named Brain Invaders. The interface u...

L'étude par neuro-imagerie de l'activité de plusieurs cerveaux en interactions (hypercanning) permet d'étendre notre compréhension des neurosciences sociales. Ces travaux sont organisées en trois contributions interdépendantes.Nous proposons un cadre pour l'hypercanning utilisant les interfaces cerveau-ordinateur multi-utilisateur qui inclut différ...

Approximate Joint Diagonalization of a matrix set can solve the linear Blind Source Separation problem. If the data possesses a bilinear structure, for example a spatio-temporal structure, transformations such as tensor decomposition can be applied. In this paper we show how the linear and bilinear joint diagonalization can be applied for extractin...

We consider the approximate joint diagonalization problem (AJD) related to the well known blind source separation (BSS) problem within the Riemannian geometry framework. We define a new manifold named special polar manifold equivalent to the set of full rank matrices with a unit determinant of their Gram matrix. The Riemannian trust-region optimiza...

In 2011 we proposed « Brain Invaders », a BCI videogame inspired from the vintage game Space Invaders. The software was released open source and was compatible with OpenVIBE. The system is based on ERP classification using the oddball paradigm with a grid of 36 possible targets. This second version extends the game to the multi-user scenario. It in...

Background Already used at the incept of research on event-related potentials (ERP) over half a century ago, the arithmetic mean is still the benchmark for ERP estimation. Such estimation, however, requires a large number of sweeps and/or a careful rejection of artifacts affecting the electroencephalographic recording.New Method In this article we...

The classification of electroencephalographic (EEG) data recorded from multiple users simultaneously is an important challenge in the field of Brain-Computer Interface (BCI). In this paper we compare different approaches for classification of single-trials Event-Related Potential (ERP) on two subjects playing a collaborative BCI game. The minimum d...

The multi-way decoding algorithms are adapted to incomplete wirelessly transmitted data and integrated to CLINATEC® BCI platform. The platform includes wireless 64-channels ElectroCorticoGram (ECoG) recording implant WIMAGINE® and BCI software environment associated to a 4-limbs exoskeleton EMY.

The goal of the CLINATEC® Brain Computer Interface (BCI) Project is to improve tetraplegic subjects' quality of life by allowing them to interact with their environment through the control of effectors, such as an exoskeleton. The BCI platform is based on a wireless 64-channel ElectroCorticoGram (ECoG) recording implant WIMAGINE®, designed for long...