Brain-computer interface: Advancement and challenges
Brain-Computer Interface (BCI) is an advanced and multidisciplinary active research domain
based on neuroscience, signal processing, biomedical sensors, hardware, etc. Since the …
based on neuroscience, signal processing, biomedical sensors, hardware, etc. Since the …
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 …
Generalizable spelling using a speech neuroprosthesis in an individual with severe limb and vocal paralysis
Neuroprostheses have the potential to restore communication to people who cannot speak
or type due to paralysis. However, it is unclear if silent attempts to speak can be used to …
or type due to paralysis. However, it is unclear if silent attempts to speak can be used to …
Inferring single-trial neural population dynamics using sequential auto-encoders
Neuroscience is experiencing a revolution in which simultaneous recording of thousands of
neurons is revealing population dynamics that are not apparent from single-neuron …
neurons is revealing population dynamics that are not apparent from single-neuron …
Noninvasive neuroimaging enhances continuous neural tracking for robotic device control
Brain-computer interfaces (BCIs) using signals acquired with intracortical implants have
achieved successful high-dimensional robotic device control useful for completing daily …
achieved successful high-dimensional robotic device control useful for completing daily …
High performance communication by people with paralysis using an intracortical brain-computer interface
C Pandarinath, P Nuyujukian, CH Blabe, BL Sorice… - elife, 2017 - elifesciences.org
Brain-computer interfaces (BCIs) have the potential to restore communication for people with
tetraplegia and anarthria by translating neural activity into control signals for assistive …
tetraplegia and anarthria by translating neural activity into control signals for assistive …
A review on real-time implantable and wearable health monitoring sensors based on triboelectric nanogenerator approach
The recent developments in the promising technology, Triboelectric Nanogenerators
(TENGs) have brought numerous changes in the medical field. The amalgamation of …
(TENGs) have brought numerous changes in the medical field. The amalgamation of …
Noninvasive electroencephalogram based control of a robotic arm for reach and grasp tasks
Brain-computer interface (BCI) technologies aim to provide a bridge between the human
brain and external devices. Prior research using non-invasive BCI to control virtual objects …
brain and external devices. Prior research using non-invasive BCI to control virtual objects …
Dimensionality reduction for large-scale neural recordings
JP Cunningham, BM Yu - Nature neuroscience, 2014 - nature.com
Most sensory, cognitive and motor functions depend on the interactions of many neurons. In
recent years, there has been rapid development and increasing use of technologies for …
recent years, there has been rapid development and increasing use of technologies for …
Real-time brain-machine interface in non-human primates achieves high-velocity prosthetic finger movements using a shallow feedforward neural network decoder
Despite the rapid progress and interest in brain-machine interfaces that restore motor
function, the performance of prosthetic fingers and limbs has yet to mimic native function …
function, the performance of prosthetic fingers and limbs has yet to mimic native function …