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Neural Engineering

This area applies fundamental and applied engineering techniques to help solve basic and clinical problems in neuroscience. At a fundamental level, neural engineering seeks a better understanding of the behavior of individual neurons, their growth, signaling mechanisms between neurons, and how populations of neurons produce complex behavior. Obtaining such information improves understanding of the communication that occurs between the various parts of the nervous system and the brain. Such knowledge can lead to the development of replacement parts and other treatments for impaired neural systems.

Areas of specialization include:

  • Neural Prostheses
  • Computational Neuroscience
  • Retinal Physiology
  • Neural Control

Jennifer J. Kang-Mieler (Kang Derwent)
Associate Professor
Expertise: Models of retinal vascular occlusion, microcirculation, electroretinography

David J. Mogul
Expertise: Brain electrophysiology, chaos control of epilepsy, cellular and network behavior

Philip R. Troyk
Professor and Director of Neural Engineering Program
Expertise: Neural prostheses, implant design, computational neuroscience