Brain–computer interfaces (BCIs) development is closely related to physics. In this paper, we
review the physical principles of BCIs, and underlying novel approaches for registration …

A brain-computer interface (BCI) is a hardware and software communications system that
permits cerebral activity alone to control computers or external devices. The immediate goal …

Typically, complex systems are natural or social systems which consist of a large number of
nonlinearly interacting elements. These systems are open, they interchange information or …

After 40 years of investigation, steady-state visually evoked potentials (SSVEPs) have been
shown to be useful for many paradigms in cognitive (visual attention, binocular rivalry …

Brain‐computer interface (BCI) systems based on the steady‐state visual evoked potential
(SSVEP) provide higher information throughput and require shorter training than BCI …

This document, from the International Society for Clinical Electrophysiology of Vision
(ISCEV), presents an updated and revised ISCEV Standard for clinical electroretinography …

The human brain is arguably one of the most complex systems in nature. To understand how
it operates, it is essential to understand the link between neural activity and behavior …

Visual evoked potentials (VEPs) can provide important diagnostic information regarding the
functional integrity of the visual system. This document updates the ISCEV standard for …

Brain signals have been investigated within the medical field for more than a century to
study brain diseases like epilepsy, spinal cord injuries, Alzheimer's, Parkinson's …

Infancy is a time of rapid growth, when brain plasticity is at a maximum. Event-related
potentials (ERPs) are one of the few methods that can easily and safely be used to study this …