Next Article in Journal
Neurostimulation for Intractable Chronic Pain
Previous Article in Journal
Blood Pressure Gradients in the Brain: Their Importance to Understanding Pathogenesis of Cerebral Small Vessel Disease
Previous Article in Special Issue
EEG Waveform Analysis of P300 ERP with Applications to Brain Computer Interfaces
Article Menu
Issue 2 (February) cover image

Export Article

Open AccessEditorial
Brain Sci. 2019, 9(2), 22; https://doi.org/10.3390/brainsci9020022

Brain–Computer Interfaces for Human Augmentation

1
Department of Otolaryngology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA 02114, USA
2
Brain-Computer Interfaces and Neural Engineering Laboratory, School of Computer Science and Electronic Engineering, University of Essex, Wivenhoe Park, Colchester CO4 3SQ, UK
*
Author to whom correspondence should be addressed.
Received: 21 January 2019 / Accepted: 22 January 2019 / Published: 24 January 2019
(This article belongs to the Special Issue Brain-Computer Interfaces for Human Augmentation)
Full-Text   |   PDF [155 KB, uploaded 24 January 2019]
Note: In lieu of an abstract, this is an excerpt from the first page.

Excerpt

The field of brain–computer interfaces (BCIs) has grown rapidly in the last few decades, allowing the development of ever faster and more reliable assistive technologies for converting brain activity into control signals for external devices for people with severe disabilities [...] View Full-Text
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Valeriani, D.; Cinel, C.; Poli, R. Brain–Computer Interfaces for Human Augmentation. Brain Sci. 2019, 9, 22.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Brain Sci. EISSN 2076-3425 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top