Courses

Neural Engineering & NeuroRobotics
BME 6440 / ECE 6654

The course covers tools and applications of neural engineering through three broad segments: neurorecording, neurostimulation and closed-loop neuromodulation. The neurorecording segment includes: invasive and non-invasive recording techniques, signal processing, neural feature extraction, biological and artificial neural networks, and real-time control of robotic devices using neurorecordings. The neurostimulation segment includes: invasive and non-invasive stimulation techniques, signal generation, physiological responses, safety analysis, and real-time stimulation for haptic feedback and for reanimating paralyzed limbs. The closed-loop neuromodulation segment features hands-on student-led group projects.

Computational Neuroscience
BME 5005 / BME 6005

This course explores advances in neuroscience enabled by progress in computational power. This course reviews the quantitative underpinnings of classical neurophysiological understanding, but the focus is using modern computational techniques to broaden that understanding. Topics include: simulating biophysical models of neuronal membranes; constructing computational neuronal models and deconstructing them with techniques from nonlinear dynamics; models of neural plasticity and adaptive behavior, and their interface with various learning algorithms; and neural information encoding and algorithms for neural decoding of informational quantity and representational content. Students are expected to perform a substantial amount of programming in problem sets and a course project.

Systems Neuroscience
BME 6430

The nervous system exhibits an extraordinary capability for information processing, storage, and acquisition, much of which emerges from the interactions of systems of neurons. This course will explore systems-level functions and dysfunctions of the nervous system from a scientific and engineering perspective, beginning with issues of sensory coding and motor control, and expanding into issues of homeostasis, arousal, cognitive and mood disorders, and experience-dependent modifications of neuronal operations. Lectures will consist primarily of lectures by the faculty. Discussions will consist primarily of student presentations and discussion of primary literature associated with lecture topics.

Neural Engineering Research Group (NERG)
BME 6470

This is a seminar course that provides up-to-date information on current research in neural engineering. This course also provides a venue for students, post-docs, faculty, clinicians, and industry partners to present on their neural research. However, the course is heavily weighted toward presentations by scientists in training (i.e., undergraduates, graduate students, post-docs, medical school students, residents and fellows). In terms of content. the course is focused on communication. Part of being a scientist is being a professional communicator, both written and verbal. This requires constant practice, and NERG is a venue to provide this.

Neural Analysis & Modeling

Neural Data Analysis & Modeling (ECE 6960)
Biological Statistical Processing (BME 6433)
Digital Signal Processing (ECE 6530)
Information Theory (ECE 6520)
Estimation Theory (ECE 6540)
Advanced Scientific Computing (CS 6210)
Mathematical Statistics (MATH 6070)
Advanced Dynamical Systems (MATH 6440)
Numerical Solutions of Partial Differential Equations (MATH 6630)
Bifurcation Theory (MATH 6740)
Mathematical Biology I (MATH 6770)
Mathematical Biology II (MATH 6780)
Case Studies in Computational Engineering & Science (MATH 6790)

Core Courses

Elective Courses

Course Offerings by Category