This course explores an exciting field of neuroengineering, brain computer interfaces (BCI), in a hands-on laboratory setting. The course addresses both the human and computational elements of the technology emphasizing an engineering perspective while utilizing and modifying common paradigms in electroencephologram (EEG)-based BCIs such as motor imagery and the P300 speller. Students are expected to understand the EEG signal and develop good recording techniques to assess and modify data collection and processing in real time. This course will also discuss how the techniques and algorithms addressed in this class translate to other modalities such as fNIR as well as more invasive systems. This course includes a lecture and laboratory component.

This course covers aspects of neural signaling, including fundamentals of action potential generation, generator potentials, synaptic potentials, and second messenger signals. Students learn Hodgkin-Huxeley descriptions, equivalent circuit representations and be able to derive and integrate descriptive equations and generate computer simulations.

This course is an in-depth student of some of the cutting-edge technologies in neuroengineering. The course draws on faculty in the College of Medicine and School of Biomedical Engineering, Science and Health Systems to present and investigate three topics in neuroengineering.

Studies physiology of sensory/motor systems, with emphasis on modeling of neural systems and biomechanical aspects of functional tasks. Begins with an analysis of the transportation of materials in and out of cells, followed by an examination of the origin and maintenance of membrane potentials. Discusses intra-and extracellular and surface measurement of potentials, generation and transmission of action potentials, synaptic processes, and the structure/function of muscle. Combines these elements to study reflex systems as well as vestibular and ocular effects on posture. Culminates in the study of the control of motor systems with respect to bipedal locomotion.