Brain-machine interfaces (BMIs) combine methods, approaches, and concepts derived from
neurophysiology, computer science, and engineering in an effort to establish real-time …

Recent advances in neuroscience have paved the way to innovative applications that
cognitively augment and enhance humans in a variety of contexts. This paper aims at …

The application of nanorobots to the human brain is denoted as “neuralnanorobotics.” This
technology may allow for the monitoring, recording, and even manipulation of many types of …

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

We propose a wearable hybrid interface where eye movements and mental concentration
directly influence the control of a quadcopter in three-dimensional space. This noninvasive …

Traditionally, brain-machine interfaces (BMIs) extract motor commands from a single brain to
control the movements of artificial devices. Here, we introduce a Brainet that utilizes very …

In human-computer interaction (HCI), there has been a push towards open science, but to
date, this has not happened consistently for HCI research utilizing brain signals due to …

In this paper we present, and test in two realistic environments, collaborative Brain-
Computer Interfaces (cBCIs) that can significantly increase both the speed and the accuracy …

We look at the possibility of integrating the percepts from multiple non-communicating
observers as a means of achieving better joint perception and better group decisions. Our …

The N2pc is a lateralised Event-Related Potential (ERP) that signals a shift of attention
towards the location of a potential object of interest. We propose a single-trial target …