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 brain–spine interface complements deep-brain stimulation to both alleviate gait and balance deficits and increase alertness in a primate model of Parkinson’s 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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