IAS Workshop on Neural Engineering and Rehabilitation
IAS1038, 1/F, Lo Ka Chung Building, Lee Shau Kee Campus, HKUST


Neural engineering is an exciting inter-disciplinary technology that greatly influences neuroscience, information science, computation, and robotics. The development of novel device allows the acquisition of neural activity when the brain receives stimuli from the external world and further encodes them into high neural activity with high spatial and temporal resolution. The interpretation of perception, action, and learning enhances our understanding of how information passes through different brain regions, and generates a decision in behavioral level. The application using neural engineering technology includes neural interfacing, which is inspired by the rehabilitation needs to restore aspect cognitive functions for the disabled, such as memory loss and motor paralyze.     

This workshop invites world-renowned keynote speakers and researchers from North America, Europe, and Asia to attend and deliver the state of the art in neural engineering. It will promote interdisciplinary interactions among the fields of neuroscience, computation, and engineering, and lead to new international collaborations.

IAS1038, 1/F, Lo Ka Chung Building, Lee Shau Kee Campus, HKUST
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Jose C. PRINCIPE, University of Florida (IAS Senior Visiting Member)


Keynote Speakers

Cuntai GUAN, Nanyang Technological University

Silvestro MICERA, The Swiss Federal Institute of Technology Lausanne (EPFL)

Nitish V. THAKOR, Johns Hopkins University 



Department of Chemical and Biological Engineering, HKUST

Department of Electronic and Computer Engineering, HKUST

EMB IEEE Hong Kong-Macau Joint Chapter

Registration and Enquiries

Walk-ins are welcome but admission will be subject to the availability of seats at the venue. Please refer to our website at http://ias.ust.hk/events/201906neural for details.  For enquiries, please contact the Workshop Secretariat at WorkshopNER2019HK@gmail.com.

Department of Electronic & Computer Engineering
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