Objective. Code-modulated visual evoked potentials (c-VEP) have been consolidated in
recent years as robust control signals capable of providing non-invasive brain–computer …

Brain-computer interfaces (BCIs) aim to directly bridge the human brain and the outside
world through acquiring and processing the brain signals in real time. In recent two decades …

Abstract Background and Objectives: Code-modulated visual evoked potentials (c-VEPs)
have marked a milestone in the scientific literature due to their ability to achieve reliable …

Keyboards and smartphones allow users to express their thoughts freely via manual control.
Hands-free communication can be realized with brain–computer interfaces (BCIs) based on …

The present study proposes a novel concept of neuroadaptive technology, namely a dual
passive-reactive Brain-Computer Interface (BCI), that enables bi-directional interaction …

Brain-Computer Interfaces (BCIs) based on visual evoked potentials (VEPs) allow high
communication speeds and accuracies. The fastest speeds can be achieved if targets are …

This paper presents the application of three optimization algorithms to increase the chaotic
behavior of the fractional order chaotic Chen system. This is achieved by optimizing the …

Responsive EEG‐based communication systems have been implemented with brain‐
computer interfaces (BCIs) based on code‐modulated visual evoked potentials (c‐VEPs) …

To study the physiology of the primate visual system, non-invasive electrophysiological
techniques are of major importance. Two main techniques are available: the …

Abstract Background and Objective: Over the last years, code-modulated visual evoked
potentials (cVEP)-based brain–computer interfaces (BCIs) have been developed as robust …