By: Christopher, Candrea, Nicholas J.,, Kevin C., Fifer, Maragakis, Shah, Coogan, Francesco V., Wester, Nathan E., Mariska J.,, Alpa, Tenore, Luo, Nicolas F., Anderson, Matthew S., Miguel, Angrick, Rabbani, William S.,, Nathan, Qinwan, Crone, Kathryn R., Lora, Ramsey
Candrea et al. develop a brain-computer interface click detection algorithm using electrocorticographic signals. Using this click detector, a clinical trial participant with amyotrophic lateral sclerosis was able to control a switch-scanning spelling application and achieve high rates of spelling without model retraining.