The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark
Objective. This study conduct an extensive Brain-computer interfaces (BCI) reproducibility
analysis on open electroencephalography datasets, aiming to assess existing solutions and …
analysis on open electroencephalography datasets, aiming to assess existing solutions and …
Adversarial Neural Network Training for Secure and Robust Brain-to-Brain Communication
In the rapidly evolving domain of brain-to-brain communication, safeguarding the
transmission of information against adversarial threats is paramount. This study introduces …
transmission of information against adversarial threats is paramount. This study introduces …
[HTML][HTML] Using Mental Shadowing Tasks to Improve the Sound-Evoked Potential of EEG in the Design of an Auditory Brain–Computer Interface
KT Sun, KL Hsieh, SY Lee - Applied Sciences, 2023 - mdpi.com
This study proposed an auditory stimulation protocol based on Shadowing Tasks to improve
the sound-evoked potential in an EEG and the efficiency of an auditory brain–computer …
the sound-evoked potential in an EEG and the efficiency of an auditory brain–computer …
[PDF][PDF] Rapidly adapting machine learning methods for brain-computer interfaces
J Sosulski - 2024 - scholar.archive.org
ABSTRACT A brain–computer interface (BCI) is a system that measures brain activity,
interprets the obtained signals and usually performs a corresponding action. Notably, a BCI …
interprets the obtained signals and usually performs a corresponding action. Notably, a BCI …