Neural Interfaces Graduate Track
The Neural Interfaces Track trains students in the fields of basic and applied neuroscience. Its goals include the application of engineering approaches to the treatment of neural dysfunction, and conversely, the discovery of effective strategies utilized by biological nervous systems and their application to traditional engineering problems. Research areas of Bioengineering faculty in the Neural Interfaces area include electrical neural interfaces and neuroprostheses; cell- and chemical-delivery systems for neural tissue; engineering of neural self-repair; neural plasticity; neural coding in sensory and motor systems; and neural imaging.
Masters Students
M.S. students in the Neural Interfaces Track must successfully complete
the course requirements outlined below, as well as the general course
and credit hour requirements of the M.S. degree program:
One of the following two courses:
- BIOEN 6010 Systems Physiology II: Physiological Control: Neural and Endocrine Systems1
- BIOEN 6430 Systems Neuroscience
Notes:1. Not offered Spring 2007; may be discontinued.
Plus one of the following courses:
- BIOEN 6010 Systems Physiology II: Physiological Control: Neural and Endocrine Systems
- BIOEN 6230 Functional Anatomy for Engineers
- BIOEN 6410 Bioinstrumentation: Biosignals and Biosensors
- BIOEN 6430 Systems Neuroscience
- BIOEN 6440 Neural Engineering (formerly Applied Neurophysiology)
- BIOEN 6140 Fundamentals of Tissue Engineering
- BIOEN 6433 Biological Statistical Signal Processing
- BIOEN 6450 Bioengineering Control Systems
- BIOEN 6460 Electrophysiology and Bioelectricity
- BIOEN 7120 Biocompatibility
- BIOEN 7155 Neural Interfaces Laboratory
- BIOEN 7410 Advanced Bioinstrumentation
- BIOEN 7420 Modeling of Physiological Systems
- EL EN 6540 Estimation Theory
- EL EN 6520 Information Theory and Coding
- MATH 6770 Mathematical Biology
- MATH 6780 Mathematical Biology II
- MATH 6790 Case Studies in Computational Engineering and Science
- NEUSC 6040 Cellular Neuroscience
- NEUSC 6060 Neuroanatomy for Biomedical Students
See also listings for Ph.D. students (below) for other possible courses of interest.
Ph.D. Students
Ph.D. students in the Neural Interfaces Track are expected to have general knowledge in the fields of basic and applied neuroscience, as described below. The purpose of the qualifying exam is to encourage students to approach their graduate education as an experience that transcends the boundaries of individual courses; to revisit the fundamental principles in basic and applied neuroscience; and to consolidate, synthesize, and integrate this material.
For the purposes of the qualifying exam, the Neural Interfaces Track defines the relevant general knowledge in terms of particular topic areas rather than in terms of required courses or texts. Specific topics that may be covered on the qualifying exam include:
Specific topics that may be covered on the qualifying exam include:
- Cellular Neurophysiology and Neurobiology - Channels; membrane potentials; biophysics; neural signaling; passive and active conduction of electrical potentials; receptors; neuronal structure; second messenger cascades.
- Systems Neuroscience - Systems-level functions and relevant neuroanatomy, including sensory coding and motor control; autonomic function; neural dysfunctions; effects of nervous system damage; regeneration and other forms of neural plasticity.
- Computational Neuroscience - Quantification and modeling of subcellular, cellular, network, and systems-level neural functions, including class=SpellE>Nernst, constant field, and cable equations; voltage- and ion-gated channels; single- and multiple-compartment models; oscillations and central pattern generators.
- Neural Interfaces - Engineering, application, and theory of neuroprostheses, including: electrochemistry and choice of electrode material; effective stimulation paradigms; current flow in peripheral and central neural tissue; biocompatibility; effects of chronic electrical stimulation.
Neural Interfaces Core Courses
No specific courses are required for the Neural Interfaces qualifying exam. Nonetheless, the following courses may be of particular assistance in preparing for the exam:
- BIOEN 6010 Systems Physiology II: Physiological Control: Neural and Endocrine Systems1
- BIOEN 6430 Systems Neuroscience
- BIOEN 7155 Neural Interfaces Laboratory
- BIOEN 6440 Neural Engineering (formerly Applied Neurophysiology)
- NEUSC 6040 Cellular Neuroscience
Notes:1. Not offered Spring 2007; may be discontinued.
Neural Interfaces Texts
No specific texts are required for the Neural Interfaces qualifying exam. Nonetheless, appropriate study guides for the qualifying exam include the textbooks and lecture materials from the above courses, and relevant sections from the texts below (or equivalents):
- D. Johnson and S. M.-S. Wu. Foundations of Cellular Neurophysiology. Bradford, Cambridge MA, 1995; or R. Plonsye and R.C. Barr. Bioelectricity: A Quantitative Approach (2nd ed). Kluwer Academic, Plenum Press, New York NY, 2000.
- E.R. Kandel, J.H. Schwartz and T.M. Jessel. Principles of Neuroscience (4th ed). McGraw Hill, New York: NY, 2000.
- K.W. Horch and G.S. Dhillon (eds.). Neuroprosthetics: Theory and Practice. World Scientific Publishing, River Edge NJ, 2004.
Advanced Courses in Neural Interfaces and Program of Study
The Program of Study is a list of all courses to be completed by the student as part of the requirements for the Ph.D. The Program of Study must be formally approved by the student's advisor, Dissertation Supervisory Committee, and Director of Graduate Studies. The plan should include a hierarchy to develop expertise in a specific focus area. Although no specific elective courses are required, expertise will be required to perform well on the dissertation proposal and defense.
Additional courses beyond the suggested track core and the master's-level core must be completed in order to meet the Department's minimum course credit hour requirements for the Ph.D. Listed below are some additional courses relevant to particular areas of specialization in the Neural Interfaces Track. The specific courses should be selected from these or other courses on an individual basis to maximize expertise in the area most closely related to the student's Ph.D. dissertation, subject to formal approval as described above.
Neural Interfaces/Electrophysiology
- BIOEN 6140 Fundamentals of Tissue Engineering
- BIOEN 6230 Functional Anatomy for Engineers
- BIOEN 6410 Bioinstrumentation: Biosignals and Biosensors
- BIOEN 6421 Fundamentals of Micromachining
- BIOEN 6422 Biomedical Applications of Micromachining
- BIOEN 6433 Biological Statistical Signal Processing
- BIOEN 6450 Bioengineering Control Systems
- BIOEN 6460 Electrophysiology and Bioelectricity
- BIOEN 7120 Biocompatibility
- BIOEN 7410 Advanced Bioinstrumentation
- BIOEN 7420 Modeling of Physiological Systems
- EL EN 5540 Digital Signal Processing
- EL EN 6580 Implementation of Digital Signal Processing Systems
- EL EN 6550 Adaptive Filters
- EL EN 6640 Advanced Digital Signal Processing
- EL EN 6540 Estimation Theory
- EL EN 6520 Information Theory and Coding
- EL EN 6710 Advanced Integrated Circuit Design
- MATH 6770 Mathematical Biology
- MATH 6780 Mathematical Biology II
- MATH 6790 Case Studies in Computational Engineering and Science
- NEUSC 6050 Neuroanatomy for Biomedical Students
- NEUSC 6060 Developmental Neurobiology
- NEUSC 6245 Neurophysiology Laboratory
- ONCSC 6150 Biostatistics
Neural Interfaces, Biomaterials
- NEUSC 6060 Developmental Neurobiology
- BIOEN 6140 Fundamentals of Tissue Engineering
- BIOEN 7120 Biocompatibility
- BIOEN 7160 Physical Nature of Surfaces
- BIOEN 7140 Advanced Topics in Tissue Engineering
- PHCEU 7420 Mathematical Modeling of Pharmaceutical Systems
Computational Modeling
- BIOEN 6460 Electrophysiology and Bioelectricity
- BIOEN 6433 Biological Statistical Signal Processing
- BIOEN 7420 Modeling of Physiological Systems
- MATH 6630 Numerical Solutions of Partial Differential Equations
- MATH 6440 Advanced Dynamical Systems
- MATH 6740 Bifurcation Theory
- CP SC 6210 Advanced Scientific Computing
- MATH 6770 Mathematical Biology
- MATH 6780 Mathematical Biology II
- MATH 6790 Case Studies in Computational Engineering and Science
- MATH 6070 Mathematical Statistics
- ME EN 7200 Nonlinear Controls
- ME EN 7210 Optimal Controls
Questions?
Questions regarding the Neural Interfaces track should be directed to Dr. Gregory Clark (801 585-9796).