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 …

The BCI competition IV stands in the tradition of prior BCI competitions that aim to provide
high quality neuroscientific data for open access to the scientific community. As experienced …

Abstract Machine learning techniques are increasingly used in neuroscience to classify
brain signals. Decoding performance is reflected by how much the classification results …

Goal: Sensorimotor-based brain–computer interfaces (BCIs) have achieved successful
control of real and virtual devices in up to three dimensions; however, the traditional sensor …

How neural correlates of movements are represented in the human brain is of ongoing
interest and has been researched with invasive and non-invasive methods. In this study, we …

Background An uninterrupted channel of communication and control between the human
brain and electronic processing units has led to an increased use of Brain Computer …

This book serves as a guide and reference for anyone who wishes to understand analysis of
neural data generated from studies that range from molecules, to circuits, to systems, to …

A brain-computer interface (BCI) provides a way to develop interaction between a brain and
a computer. The communication is developed as a result of neural responses generated in …

While brain computer interface (BCI) can be employed with patients and healthy subjects,
there are problems that must be resolved before BCI can be useful to the public. In the most …

Classical cognitive theories hold that word representations in the brain are abstract and
amodal, and are independent of the objects' sensorimotor properties they refer to. An …