The Annual BCI Research Awards are international prizes that recognize the top new projects in brain–computer interface (BCI) research. This book contains concise descriptions of projects nominated for the 2020 BCI Research Award and interviews with nominees. Each article is authored by the researchers who developed the project, and articles have been updated with new progress achieved since their nomination. These chapters are complemented by an introduction by the editors together with a concluding chapter that reviews the annual Awards Ceremony, announces the winners, and ends with a brief discussion.
One of the prominent trends in recent years has been the development of BCIs for restoring limb use and for aiding optical and auditory sensory perception. Many chapters in this book present emerging and novel research directions likely to become more prevalent in the near future. This year's book includes chapters based on interviews with BCI experts who were nominated for an award, including this year's first, second, and third place winners. These interview chapters are generally less technical than project descriptions, and provide individual perspectives from people actively working on new methods and systems.
1 Enhancing gesture decoding performance using signals from human
posterior parietal cortex.- Machine translation of cortical activity to
text.- 2 Towards practical MEG-BCI with optically pumped magnetometers.- 3
EEG decoding of pain perception for a real-time reflex system in prostheses.-
4 A computer-brain interface that restores lost extremities touch and
movement sensations.- 5 Restoring the sense of touch using a sensorimotor
demultiplexing neural interface.- 6 A brainspine interface complements
deep-brain stimulation to both alleviate gait and balance deficits and
increase alertness in a primate model of Parkinsons disease.- 7
Speaker-independent auditory attention decoding without access to clean
speech sources.- 8 A high-performance handwriting BCI.- 9 A neuromorphic
brain computer interface for real-time detection of a new biomarker for
epilepsy surgery.- 10 Sono-optogenetics: An ultrasound-mediated
non-invasive optogenetic brain-computer interface.- 11 High-dimensional (8D)
control of complex effectors such as an exoskeleton by a tetraplegic subject
using chronic ECoG recordings using stable and robust over time adaptive
direct neural decoder.
Christoph Guger is running g.tec medical engineering in order to design brain-computer interfaces systems.
Brendan Allison is carrying out BCI research with P300 and motor imagery BCIs.
Ayse Gündüz is running a BCI lab at University of Florida and performs direct brain stimulation and ECoG BCI research.
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