The ability to record and alter brain activity by using implantable and nonimplantable neural
devices, while poised to have significant scientific and clinical benefits, also raises complex …

Mental health disorders are complex disorders of the nervous system characterized by a
behavioral or mental pattern that causes significant distress or impairment of personal …

Objective. Processing strategies are analyzed with respect to the classification of
electroencephalographic signals related to brain-computer interfaces (BCIs) based on motor …

Mental-tasks based brain–computer interfaces (MT-BCIs) allow their users to interact with an
external device solely by using brain signals produced through mental tasks. While MT-BCIs …

With their exponentially rising computational power, digital platforms are heralding a new
era of hybrid intelligence. There has recently been much enthusiasm and hype that the …

A brain–computer interface (BCI) enables a user to communicate directly with a computer
using only the central nervous system. An affective BCI (aBCI) monitors and/or regulates the …

The increasing availability of brain data within and outside the biomedical field, combined
with the application of artificial intelligence (AI) to brain data analysis, poses a challenge for …

The rise of neurotechnologies, especially in combination with artificial intelligence (AI)-
based methods for brain data analytics, has given rise to concerns around the protection of …

Functional near-infrared spectroscopy (fNIRS) assesses human brain activity by
noninvasively measuring changes of cerebral hemoglobin concentrations caused by …

Brain-Computer Interfaces (BCIs) have significantly improved the patients' quality of life by
restoring damaged hearing, sight, and movement capabilities. After evolving their …