Seminar sponsored by IEEE Solid-State Circuits French Chapter and IEMN Axis 4

Friday, March 20th 2015

15:00 IEMN Amphitheater


“A Roadmap to Long-Term Brain-Machine Interfaces”

Jan M. Rabaey
Donald O. Pederson Distinguished Professor
University of California at Berkeley



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. These developments undoubtedly will enhance the prospect for viable long-term brain-machine interfaces, in which sensor nodes directly observe and excite neural activity in the brain, and use this information to restore function for people with severe neural disabilities such as stroke, spinal cord injury, ALS, epilepsy, etc. Viability means operation that extends reliably beyond 10 years of operation. Accomplishing this requires a number of properties to be met: compliance, redundancy and adaptivity, miniaturization and minimal intrusiveness

In this presentation, we will present on our vision on how this may be accomplished, the current status, and a perspective on what hurdles need be overcome. Examples will include a description of BBMI (the Berkeley Brain-Machine Interface) and “neural dust”.


Short Bio:

Prof. Jan Rabaey is the founding director of the Berkeley Wireless Research Center and the Ubiquitous Swarm Lab. He has been on the forefront of many groundbreaking innovations in low-energy design, and is currently exploring the interaction between information technology and neuroscience.

Post navigation