The steady-state visual evoked potentials (SSVEPs), evoked by dual-frequency or multi-
frequency stimulation, likely contains intermodulation frequency components (IMs). Visual …

The ultimate goal of brain-computer interfaces (BCIs) based on visual modulation paradigms
is to achieve high-speed performance without the burden of extensive calibration. Code …

Brain-computer interfaces (BCIs) offer a way to interact with computers without relying on
physical movements. Non-invasive electroencephalography-based visual BCIs, known for …

As AI systems become increasingly powerful, the need for safe AI has become more
pressing. Humans are an attractive model for AI safety: as the only known agents capable of …

Brain-computer interfaces (BCIs) offer a way to interact with computers without relying on
physical movements. Non-invasive electroencephalography (EEG)-based visual BCIs …

An SSVEP-based BCI with 112 targets using frequency spatial multiplexing - IOPscience Skip to
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Auditory attention decoding (AAD) aims to extract from brain activity the attended speaker
amidst candidate speakers, offering promising applications for neuro-steered hearing …

This study explores two zero-training methods aimed at enhancing the usability of brain-
computer interfaces (BCIs) by eliminating the need for a calibration session. We introduce a …

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. This poses an issue for users who cannot voluntarily …

ABSTRACT Brain Computer Interface (BCI) system measure and interpret brain activity to
provide feedback or perform actions, allowing for direct control or interaction with other …