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

Since the original demonstration that electrical activity generated by ensembles of cortical
neurons can be employed directly to control a robotic manipulator, research on brain …

Neural prostheses translate neural activity from the brain into control signals for guiding
prosthetic devices, such as computer cursors and robotic limbs, and thus offer individuals …

Brain–computer interfaces (BCIs) aim at providing a non-muscular channel for sending
commands to the external world using the electroencephalographic activity or other …

It is generally thought that the signal-to-noise ratio, the bandwidth, and the information
content of neural data acquired via noninvasive scalp electroencephalography (EEG) are …

Research on brain–machine interfaces has been ongoing for at least a decade. During this
period, simultaneous recordings of the extracellular electrical activity of hundreds of …

Glial scar formation around implanted silicon neural probes compromises their ability to
facilitate long-term recordings. One approach to modulate the tissue reaction around …

Human-computer interfaces (HCIs) have become ubiquitous. Interfaces such as keyboards
and mouses are used daily while interacting with computing devices (Ebrahimi et al., 2003) …

Previous studies have shown that intracortical activity can be used to operate prosthetic
devices such as an artificial limb. Previously used neuronal signals were either the activity of …

The only integrative approach to chaos and random fractal theory Chaos and random fractal
theory are two of the most important theories developed for data analysis. Until now, there …