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Human Performance OptimizationThe Science and Ethics of Enhancing Human Capabilities$
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Michael D. Matthews and David M. Schnyer

Print publication date: 2019

Print ISBN-13: 9780190455132

Published to Oxford Scholarship Online: January 2019

DOI: 10.1093/oso/9780190455132.001.0001

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Brain–Computer Interfaces and Neurofeedback for Enhancing Human Performance

Brain–Computer Interfaces and Neurofeedback for Enhancing Human Performance

Chapter:
(p.125) 6 Brain–Computer Interfaces and Neurofeedback for Enhancing Human Performance
Source:
Human Performance Optimization
Author(s):

Ranganatha Sitaram

Andrea Sánchez Corzo

Mariana Zurita

Constanza Levican

Daniela Huepe-Artigas

Juan Andrés Mucarquer

Matías Ramírez

Publisher:
Oxford University Press
DOI:10.1093/oso/9780190455132.003.0006

Brain–computer interfaces (BCIs), also known as brain–machine interfaces (BMIs), are a group of experimental procedures in which an external sensor is used to provide information about a specific brain process in order to change the measured quantity. A BCI acquires signals from the brain of a human or an animal using any one or more of these sensors, then selects or extracts specific features of interest from the signal and converts and then translates these into artificial output that can act on the body or the outside world. A BCI may influence human performance by replacing, restoring, supplementing, or enhancing brain function. In this chapter, we discuss the extant research in terms of experimental work and neuroscience understanding of the application of BCIs and neurofeedback systems in influencing human performance in different brain functions, namely, action, perception, cognition, and emotion, in healthy individuals, expert performers, and patients.

Keywords:   brain–computer interface, brain–machine interface, neurofeedback, biofeedback, neuroimaging, neurorehabilitation

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