A brain-computer interface (BCI) developed by researchers at the University of Houston can sense when its user is expecting a reward by examining interactions between single-neuron activities and the local field potential (information flowing to the neurons).
This development supports the creation of an autonomously updating BCI that improves on its own, learning about its subject without having to be programmed.
The technology could have applications in robotic prosthetics, as it could sense what a user wants to do, and then do it.
Said University of Houston’s Joe Francis, "This examination of reward motivation in the primary motor cortex could be useful in developing an autonomously updating brain-machine interface."
From University of Houston News
View Full Article
Abstracts Copyright © 2019 SmithBucklin, Washington, DC, USA
No entries found