University of Minnesota
Neuroengineering Minor

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Neuroengineering Core Courses

Below are the descriptions for the four Neuroengineering Minor core courses. Please see the Graduate School Catalog for other course descriptions not listed here.

Instructor: Tay Netoff

This course will provide an introduction to neuroanatomy, neurophysiology, electrode design, cochlear implants, neuroprothetics, deep brain stimulation, brain machine interface, neural control, visual prosthetics, and seizure detection.

Instructor: Matthew Johnson

Students will learn the fundamentals of bioengineering approaches for modulating the peripheral and central nervous system using bioelectricity, biomagnetism, and optogenetics. Students will learn how to design instrumentation that can deliver energy into the brain, how to develop multi-scale computational models that can predict the neurophysiological effects of stimulation, how to leverage neural decoding technology to probe adaptation within the brain during neuromodulation, and how to implement closed-loop control algorithms to adapt brain stimulation in real-time. Students will be provided with clinical exposure to neuromodulation technology for managing neurological diseases and disorders including stroke, movement disorders, Alzheimer's disease, pain, and neuropsychiatric disorders. The course design will consist of seven two-week learning modules, in which students will engage in actively learning the principles, applications, and practical implementation of neuromodulation systems.

Instructor: Hubert Lim

Students will learn the different types of neural interface technologies currently in use in patients as well as a detailed coverage of the biophysics, neural coding, and hardware features relating to their implementation in humans. The course will primarily focus on invasive neural implants that electrically interface with the peripheral or central nervous system. Neurophysiological principles and computational modeling of neurons, current flow through tissue, and the tissue-electrode interface will be covered to understand how electrical signals and information are transmitted between the device and neurons. The lectures will consist of the following topics: Overview of different neural interfaces used in humans & components, Biophysics and modeling of neurons, Ion/Current flow through tissue, Different types of neural electrode technologies, Modeling electrode-tissue interface, Neural recording preamplifiers/hardware, Tissue damage and encapsulation, Neural spikes and potentials analysis, Neural stimulators/hardware, Tissue-stimulation safety parameters, Effects of electrical stimulation on neurons, Surgical/device safety, Rehabilitation procedures, New technologies (e.g., wireless, fully implantable devices, decoding/encoding algorithms, optical/magnetic methods, noninvasive approaches).

Instructor: Bin He

This course will examine topics and issues related to ethics, professional conduct, conflicts, plagiarism, copyright, authorship, research design considerations, IRB, intellectual properties, review process, FDA process, professional presentations, and writing of proposals. Students will discuss neuroethical implications of neural interface technologies and learn about the process of bringing such technologies to market, including intellectual property and FDA approval considerations. In addition, the course aims to develop students' skills in preparing and developing a research proposal, an important career skill. The course project will provide an opportunity to develop students' ability to cooperate and interact with co-workers, collaborators and supervisors. Students will learn the unique features of neuroengineering research and proposal development through generation of ideas, observation of related research in their advisors' labs, group discussions, and the writing of a research proposal in a standard format (NSF or NIH research proposal).