2

Dareplane: a modular open-source software platform for BCI research with application in closed-loop deep brain stimulation
Objective. This work introduces Dareplane, a modular and broad technology-agnostic open source software platform for brain–computer …
Cite DOI URL
Master classes of the tenth international brain-computer interface meeting: showcasing the research of BCI trainees
The Tenth International brain–computer interface (BCI) meeting was held June 6–9, 2023, in the Sonian Forest in Brussels, Belgium. At …
Cite DOI URL
Rapid cortical auditory evoked potentials audiometry
Objective: The current ‘gold standard’ of audiometry relies on subjective behavioural responses, which is impractical and unreliable …
Cite DOI URL
The role of code-modulated evoked potentials in next-generation brain-computer interfacing
Research on brain-computer interfaces (BCIs) using the code-modulated evoked potential (c-VEP) has recently achieved remarkable …
Cite DOI URL
Towards an sEEG-based BCI using code-modulated VEP: A case study showing the influence of electrode location on decoding efficiency
Today, one of the fastest non-implanted brain-computer interfaces (BCIs) for communication and control uses the code-modulated visual …
Cite DOI URL
Review of Deep Representation Learning Techniques for Brain-Computer Interfaces
Cite DOI
A Bayesian dynamic stopping method for evoked response brain-computer interfacing
Introduction: As brain-computer interfacing (BCI) systems transition fromassistive technology to more diverse applications, their …
Cite DOI URL
Exploring new territory: Calibration-free decoding for c-VEP BCI
This study explores two zero-training methods aimed at enhancing the usability of brain-computer interfaces (BCIs) by eliminating the …
Cite DOI URL
Towards auditory attention decoding with noise-tagging: A pilot study
Auditory attention decoding (AAD) aims to extract from brain activity the attended speaker amidst candidate speakers, offering …
Cite DOI URL
Towards gaze-independent c-VEP BCI: A pilot study
A limitation of brain-computer interface (BCI) spellers is that they require the user to be able to move the eyes to fixate on targets. …
Cite DOI URL