University of Florida researchers have taken the concept of brain machine interfaces a step further, devising a way for computerized devices not only to translate brain signals into movement but also to evolve with the brain as it learns. This is a huge step forward to transhuman and technological singularity goals. The computer and the user co-evolve to learn to work together more effectively.

Until now, brain-machine interfaces have been designed as one-way conversations between the brain and a computer, with the brain doing all the talking and the computer following commands. The system UF engineers created actually allows the computer to have a say in that conversation, too, according to findings published this month online in the Institute of Electrical and Electronics Engineers journal IEEE Transactions on Biomedical Engineering.