![]() ![]() People with various forms paralysis not only have difficulties getting around, but also are less able to use many communication technologies including computers. This high level of performance demonstrates the potential utility of iBCIs as powerful assistive communication devices for people with limited motor function. For all three participants, performance exceeded previous iBCIs (Bacher et al., 2015 Jarosiewicz et al., 2015) as measured by typing rate (by a factor of 1.4–4.2) and information throughput (by a factor of 2.2–4.0). The system leveraged advances in decoder design developed in prior pre-clinical and clinical studies (Gilja et al., 2015 Kao et al., 2016 Gilja et al., 2012). #Thebrain conversational ui trial#Here we report a high-performance intracortical BCI (iBCI) for communication, which was tested by three clinical trial participants with paralysis. While previous pre-clinical and clinical studies have demonstrated promising proofs-of-concept (Serruya et al., 2002 Simeral et al., 2011 Bacher et al., 2015 Nuyujukian et al., 2015 Aflalo et al., 2015 Gilja et al., 2015 Jarosiewicz et al., 2015 Wolpaw et al., 1998 Hwang et al., 2012 Spüler et al., 2012 Leuthardt et al., 2004 Taylor et al., 2002 Schalk et al., 2008 Moran, 2010 Brunner et al., 2011 Wang et al., 2013 Townsend and Platsko, 2016 Vansteensel et al., 2016 Nuyujukian et al., 2016 Carmena et al., 2003 Musallam et al., 2004 Santhanam et al., 2006 Hochberg et al., 2006 Ganguly et al., 2011 O’Doherty et al., 2011 Gilja et al., 2012), the performance of human clinical BCI systems is not yet high enough to support widespread adoption by people with physical limitations of speech. ![]() 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 communication devices. ![]()
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