Zobrazeno 1 - 10
of 224
pro vyhledávání: '"Mattout, Jérémie"'
The cognitive mechanisms underlying subjects' self-regulation in Brain-Computer Interface (BCI) and neurofeedback (NF) training remain poorly understood. Yet, a mechanistic computational model of each individual learning trajectory is required to imp
Externí odkaz:
http://arxiv.org/abs/2410.05926
Error signals are the cornerstone of predictive coding and are widely considered essential to sensory perception and beyond. The mismatch negativity (MMN) is arguably the most emblematic and most studied brain error signal. It is affected in many bra
Externí odkaz:
http://arxiv.org/abs/2310.11247
Brain-computer interfaces (BCI) are presented as a solution for people with global paralysis, also known as locked-in syndrome (LIS). The targeted population includes the most severe patients, with no residual eye movements, who cannot use any commun
Externí odkaz:
http://arxiv.org/abs/2310.00266
Objective. Neural self-regulation is necessary for achieving control over brain-computer interfaces (BCIs). This can be an arduous learning process especially for motor imagery BCI. Various training methods were proposed to assist users in accomplish
Externí odkaz:
http://arxiv.org/abs/2112.12399
Autor:
Szul, Maciej J, Papadopoulos, Sotirios, Alavizadeh, Sanaz, Daligaut, Sébastien, Schwartz, Denis, Mattout, Jérémie, Bonaiuto, James J
Publikováno v:
In Progress in Neurobiology June 2023
Autor:
Morlet, Dominique, Mattout, Jérémie, Fischer, Catherine, Luauté, Jacques, Dailler, Frédéric, Ruby, Perrine, André-Obadia, Nathalie
Publikováno v:
In Clinical Neurophysiology January 2023 145:151-161
Akademický článek
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Autor:
Mladenović, Jelena, Frey, Jérémy, Maby, Emmanuel, Joffily, Mateus, Lotte, Fabien, Mattout, Jeremie
Publikováno v:
International BCI meeting, May 2018, Asilomar, United States. 2018, http://bcisociety.org/
Adaptive Brain-Computer interfaces (BCIs) have shown to improve performance, however a general and flexible framework to implement adaptive features is still lacking. We appeal to a generic Bayesian approach, called Active Inference (AI), to infer us
Externí odkaz:
http://arxiv.org/abs/1805.09109
Publikováno v:
Chapter 33: ''A generic framework for adaptive EEG-based BCI training and operation'' , 1, CRC Press: Taylor \& Francis Group, 2017, Brain-Computer Interfaces Handbook: Technological and Theoretical Advances
There are numerous possibilities and motivations for an adaptive BCI, which may not be easy to clarify and organize for a newcomer to the field. To our knowledge, there has not been any work done in classifying the literature on adaptive BCI in a com
Externí odkaz:
http://arxiv.org/abs/1707.07935
Major issues in Brain Computer Interfaces (BCIs) include low usability and poor user performance. This paper tackles them by ensuring the users to be in a state of immersion, control and motivation, called state of flow. Indeed, in various discipline
Externí odkaz:
http://arxiv.org/abs/1706.01728