Technical challenges

Neuroimplants for Neurodegenerative Conditions of the Eye and the Brain: Predictive Multiscale Computational Modeling, System Design, and Experimental Testing

Gianluca Lazzi, PhD MBA is a Provost Professor of Ophthalmology, Electrical Engineering, Clinical Entrepreneurship and Biomedical Engineering at the University of Southern California (USC)

Mar 16, 10:00 - 11:00

B9 H1 R2322

Technical challenges Neuroprosthetics Bioelectromagnetic systems

Although technical challenges are still daunting, the clinical utility of neuroprosthetics has increased dramatically over the past few years. This has been accomplished through the convergence of numerous disciplines, which have individually added fundamental understanding/capabilities to systems that interface with the human body to restore senses and movement, or treat prevalent diseases that have currently no foreseeable cure. Among these, predictive multiscale computational modeling methods have greatly aided in the design of neuroprosthetics by embracing the complexity of the nervous system, which span multiple spatial scales, temporal scales, and disciplines. In this talk, we will cover some of the recent advances in bioelectromagnetic systems for healthcare, with a particular focus on visual and hippocampal prosthesis, peripheral neuroprosthetics, and sensors.