A Roadmap to Long-Term Brain-Machine Interfaces
MTL Seminar Series
Prof. Jan Rabaey, UC Berkeley
Speaker
Abstract
Acquiring deeper insights into the dynamic behavior of the brain requires imaging capabilities operating at multiple scales of resolution – from microns to the complete brain. Recent advances in microscopic sensing, ULP processing and communications lead to interfaces that may be able to observe thousands if not millions of active neurons in vivo, opening the door for viable long-term brain-machine interfaces that restore function for people with severe neural disabilities.