Research picture-1: Try handwritten neural signal expression
In the past, primary brain-computer interaction could only allow patients to “brain control” move the cursor on the numeric keyboard to select specific input characters.
However, with the support of Stanford’s new brain-computer interface (BCI) implants, patients in the future will be able to more easily type efficiently through “thinking” and communicate freely through text.
Research picture-2: Real-time neural signal decoding
For patients who have lost the ability to exercise for some reason, the brain-computer interface is a very promising way for them to reconstruct the conversation and mobile experience.
With this new type of implant, scientists are trying to achieve handwriting movement based on neural activity through BCI decoding in the cortex.
Research picture-3: Even if the daily training time is shortened, the decoder performance is still outstanding.
It is reported that the implant can acquire signals and convert them into text in real time. It even allows the subject to consider how to handwrite a letter or word in order to develop faster communication.
Tests show that the Stanford BCI program has an original accuracy rate of up to 94.1%. Even after offline, it still has 99% accuracy. This result is comparable to the input speed of ordinary people on smart phones.
Research picture-4: As time goes by, motion decoding becomes easier.
Neuroscientist and engineer Krishna V. Shenoy said at the WE Summit: Through decades of research, neuroscientists are expected to have a deeper understanding of brain movement, and the technology of brain-computer interfaces will become more complete.
As for whether there are implants that can “see the light again” for the visually impaired, Shenoy believes that the current research is just the tip of the iceberg. And before clinical promotion, we have to pass more tests to verify the safety of this technology.