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

Over the past several decades, electroencephalogram (EEG)-based brain-computer
interfaces (BCIs) have attracted attention from researchers in the field of neuroscience …

Despite its short history, the use of Riemannian geometry in brain-computer interface (BCI)
decoding is currently attracting increasing attention, due to accumulating documentation of …

Canonical correlation analysis (CCA) has been widely used in the detection of the steady-
state visual evoked potentials (SSVEPs) in brain-computer interfaces (BCIs). The standard …

Objective. Steady-state visual evoked potential (SSVEP) is an essential paradigm of
electroencephalogram based brain–computer interface (BCI). Previous studies in the BCI …

Implementing a complex spelling program using a steady-state visual evoked potential
(SSVEP)-based brain–computer interface (BCI) remains a challenge due to difficulties in …

Complex-valued neural networks Complex-Valued Neural Networks Page 2 IEEE Press 445
Hoes Lane Piscataway, NJ 08854 IEEE Press Editorial Board 2013 John Anderson, Editor in …

Spelling is an important application of brain-computer interfaces (BCIs). Previous BCI
spellers were not suited for widespread use due to their low information transfer rate (ITR). In …

Brain–computer interfaces (BCIs) have emerged as a novel technology that bridges the
brain with external devices. BCIs have been developed to decode human's intention …

The aim of this study was to design a dynamically optimized steady-state visually evoked
potential (SSVEP) brain–computer interface (BCI) system with enhanced performance …