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Neuroengineering 1

Wednesday, April 11, 2:00-3:30
Meridian Ballroom 1, Graduate Minneapolis (formerly The Commons Hotel)

Organizers: Suhasa Kodandaramaiah, University of Minnesota
Zhi Yang, Assistant Professor, Biomedical Engineering, University of Minnesota

"Neural Communication and Control"
Zhi Yang, Assistant Professor, Biomedical Engineering, University of Minnesota

Session Organizer Bios:

Zhi Yang, Assistant Professor, Biomedical Engineering, University of Minnesota
Zhi Yang is an Assistant Professor of Biomedical Engineering at the University of Minnesota, Minneapolis campus. He is also with MnDrive robotics program and Systems Neuroengineering program at the University of Minnesota. His research is supported by DARPA, NIH, and industry partners. He received his Ph.D. degree from the University of California at Santa Cruz in 2010. He has published about 60 papers in peer-reviewed journals and conference proceedings. His current research interests include neural sensing and stimulation, neural information processing, and brain-machine interface.

Speaker Bios:


Presentation Abstracts:

"Neural Communication and Control"
In this talk, I will present a next-generation brain technology and testing results through a human clinical experiment. The brain technology includes a miniature sensor for acquiring neural signals and an artificial intelligent (AI) algorithm that analyzes neural signals for controlling a prosthetic hand and individual fingers. The sensor has a ten-fold improved sensitivity compared with current sensing systems in use. As a result, it can uniquely capture isolated neural waves traveling on nerves and harvest an unprecedented amount of information contents. The AI algorithm has 33 layers, which extracts and updates 100,000 features and refresh all joints’ positions every 0.02 second. In its first clinical testing on a transradial amputee, the technology has demonstrated a 15 degree-of-freedom in motor decoding. I will do a “Turing test” and invite the audience to differentiate normal subjects and amputees in videos. Our results suggest the recent development of neural sensor and AI could bridge human nervous system and machines, for example, making a new hand for amputees.

Related Sessions:

Neuroengineering 2

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