Neuroengineering comprises fundamental, experimental, computational, theoretical, and quantitative research aimed at understanding and augmenting brain function in health and disease across multiple spatiotemporal scales.
Education in Neuroengineering
Our curriculum trains students to develop and apply new technologies to understand and treat neurological disorders. Students build tools to define, control, enhance, or inhibit neural networks in precise spatial and temporal domains.
Research in Neuroengineering
Our students and faculty are pioneering new technologies to modulate nervous system function for improved screening, diagnosis, prognosis, rehabilitation, and repair. Key research areas include:
We are developing and utilizing experimental methods for measuring and manipulating the cognitive function of the brain. These efforts include new methods in systems neuroscience and brain mapping.
We are designing and deploying tools to sense and control the brain and human behavior, including neuromorphic engineering, intelligent agents, prosthetic devices, and robots.
We are building data-intensive brain science capabilities, integrating neuroinformatics, computational neuroscience, and machine learning systems to analyze and model neuroscience datasets of all sizes.
We are discovering the basic principles of neural and connectome coding, learning the intrinsic coordinate systems of the brain, and deciphering the brain’s unparalleled ability to understand complex phenomena.
We are improving, restoring, and augmenting normal and impaired neural function, focusing on the diagnosis, prognosis, and treatment of nervous system disorders.