Brain-machine interfaces: from basic science to neuroprostheses and neurorehabilitation
MA Lebedev, MAL Nicolelis - Physiological reviews, 2017 - journals.physiology.org
Brain-machine interfaces (BMIs) combine methods, approaches, and concepts derived from
neurophysiology, computer science, and engineering in an effort to establish real-time …
neurophysiology, computer science, and engineering in an effort to establish real-time …
EEG-Based Brain–Computer Interfaces for Communication and Rehabilitation of People with Motor Impairment: A Novel Approach of the 21st Century
People with severe neurological impairments face many challenges in sensorimotor
functions and communication with the environment; therefore they have increased demand …
functions and communication with the environment; therefore they have increased demand …
Brain-computer interfaces in medicine
JJ Shih, DJ Krusienski, JR Wolpaw - Mayo clinic proceedings, 2012 - Elsevier
Brain-computer interfaces (BCIs) acquire brain signals, analyze them, and translate them
into commands that are relayed to output devices that carry out desired actions. BCIs do not …
into commands that are relayed to output devices that carry out desired actions. BCIs do not …
Neurophysiological predictor of SMR-based BCI performance
Brain–computer interfaces (BCIs) allow a user to control a computer application by brain
activity as measured, eg, by electroencephalography (EEG). After about 30years of BCI …
activity as measured, eg, by electroencephalography (EEG). After about 30years of BCI …
A brain–computer interface using electrocorticographic signals in humans
Brain–computer interfaces (BCIs) enable users to control devices with
electroencephalographic (EEG) activity from the scalp or with single-neuron activity from …
electroencephalographic (EEG) activity from the scalp or with single-neuron activity from …
[HTML][HTML] Dynamic evolving spiking neural networks for on-line spatio-and spectro-temporal pattern recognition
N Kasabov, K Dhoble, N Nuntalid, G Indiveri - Neural Networks, 2013 - Elsevier
On-line learning and recognition of spatio-and spectro-temporal data (SSTD) is a very
challenging task and an important one for the future development of autonomous machine …
challenging task and an important one for the future development of autonomous machine …
Clinical applications of brain-computer interfaces: current state and future prospects
JN Mak, JR Wolpaw - IEEE reviews in biomedical engineering, 2009 - ieeexplore.ieee.org
Braincomputer interfaces (BCIs) allow their users to communicate or control external devices
using brain signals rather than the brain's normal output pathways of peripheral nerves and …
using brain signals rather than the brain's normal output pathways of peripheral nerves and …
A survey of signal processing algorithms in brain–computer interfaces based on electrical brain signals
Brain–computer interfaces (BCIs) aim at providing a non-muscular channel for sending
commands to the external world using the electroencephalographic activity or other …
commands to the external world using the electroencephalographic activity or other …
[HTML][HTML] Silent speech interfaces
The possibility of speech processing in the absence of an intelligible acoustic signal has
given rise to the idea of a 'silent speech'interface, to be used as an aid for the speech …
given rise to the idea of a 'silent speech'interface, to be used as an aid for the speech …
Breaking the silence: brain–computer interfaces (BCI) for communication and motor control
N Birbaumer - Psychophysiology, 2006 - Wiley Online Library
Brain–computer interfaces (BCI) allow control of computers or external devices with
regulation of brain activity alone. Invasive BCIs, almost exclusively investigated in animal …
regulation of brain activity alone. Invasive BCIs, almost exclusively investigated in animal …