Ari Benjamin, a doctoral student in the School of Engineering and Applied Science, said the biggest stumbling block for brain-to-machine interface technology is the complexity of the human brain. "Once they have the recordings, Neuralink will need to decode them and will someday hit the barrier that is our lack of basic understanding of how the brain works, no matter how many neurons they record from,” he said. "Decoding goals and movement plans is hard when you don't understand the neural code in which those things are communicated."

August 28, 2020 ・ From BBC News