Enhanced Brain-Machine Interface design

Posted by April 2, 2016 | News | No Comments

To control a computer cursor or robotic arm with our thoughts, our intended movements must be interpreted by a decoder. A decoder is a computational algorithm that transforms brain activity into commands for an external device. Jose Carmena and co-authors have improved decoder accuracy with a novel closed-loop training architecture that allows the decoder parameters to be adapted dynamically with every neuronal spike event.

>>Read the article in PLOS Computational Biology.