BCI Award 2020 Nomination
“Sono-optogenetics”: An ultrasound-mediated non-invasive optogenetic brain-computer interface
Abstract: Optogenetics, which uses light to control genetically modified neurons, provides an alternative to conventional deep-brain stimulation (DBS) approach with neuron-type specificity for closed-loop, bidirectional brain-computer interface (BCI).1-3 As an example of the hybrid BCI platform, optogenetic micro-electrocorticography (ECoG) offers a unique method to localize neural signal sources, thus affording higher precision of neural decoding for BCI applications.
Xiang Wu, Paul Chong, Huiliang Wang, and Guosong Hong
Department of Materials Science and Engineering, Wu Tsai Neurosciences Institute, Stanford University, USA