Developing and utilizing experimental methods for measuring and manipulating the cognitive functioning brain, including methods in systems neuroscience and brain mapping.
Designing and deploying tools to sense and control the brain and human behavior, including neuromorphic engineering, intelligent agents, and robots.
Imagining and building data-intensive brain science capabilities, neuroinformatics, computational neuroscience, and machine learning systems to analyze and model neuroscience datasets of all sizes.
Discovering the basic principle of neural and connectome coding, learning the intrinsic coordinate systems of the brain, and deciphering the brain’s unparalleled ability to understand complex phenomena.
Improving, restoring, and augmenting normal and impaired neural function, focusing on diagnoses, prognoses, and treatments of nervous system disorders.
- Vikram Chib
- Kathleen Cullen
- Xingde Li
- Michael Miller
- Sridevi Sarma
- Reza Shadmehr
- Web Stayman
- Nitish Thakor
- Rene Vidal
- Joshua Vogelstein
- Xiaoquin Wang
- Kechen Zhang
Many of our faculty are part of the Johns Hopkins Translational Neuroengineering Technologies Network (TNT), which provides an interactive network for those interested in the translational aspects of neuroengineering across schools, departments, and divisions of Johns Hopkins. Learn more here.
The brain is perhaps the greatest and most complicated learning system and exercises control over virtually every aspect of behavior. Investigators in this area share a common desire to produce quantitative models of information coding and processing in neural systems.