CMPE Degree: This course is Not Applicable for the CMPE degree.
EE Degree: This course is Not Applicable for the EE degree.
Lab Hours: 0 supervised lab hours and 0 unsupervised lab hours.
Prerequisites: ECE/BMED 4784
Catalog DescriptionA quantitative presentation of electrophysiological systems in biological
organisms, emphasizing the electrical properties and modeling of neural
and cardiac cells and systems. Cross-listed with BMED and PHYS 6787.
Student OutcomesIn the parentheses for each Student Outcome:
"P" for primary indicates the outcome is a major focus of the entire course.
“M” for moderate indicates the outcome is the focus of at least one component of the course, but not majority of course material.
“LN” for “little to none” indicates that the course does not contribute significantly to this outcome.
1. ( Not Applicable ) An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics
2. ( Not Applicable ) An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors
3. ( Not Applicable ) An ability to communicate effectively with a range of audiences
4. ( Not Applicable ) An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts
5. ( Not Applicable ) An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives
6. ( Not Applicable ) An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions
7. ( Not Applicable ) An ability to acquire and apply new knowledge as needed, using appropriate learning strategies.
Strategic Performance Indicators (SPIs)
Neurons and Synapses
* More complex ion channel models
* Neuromuscular Junction
Modeling of Electrophysiological Systems
* Measurements/Characterization of Neuronal and Cardiac Behavior
* Pattern Generation in Excitable Media
* Behavioral vs. Functional Modeling
* Parallelism and Connectivity
* Single-cell modeling approaches
* Cable models, length constants
* Cardiac Muscle Cells and Rhythm Generation
* Bioelectrodynamics of Cardiac Muscle
* Models of Cardiac Cells and Systems
Muscle Physiology architechture and models
Neural Systems - Examples
* Early Visual Processing
* Auditory Processing and Localization
* Learning of Sensorimotor Mappings
* Oculomotor Control
* Motor Pattern Generation
* Muscular Control and Reflexes
Stimulation and Control of Neural and Cardiac Systems
* Cardiac Defibrillation
* Neural Prostheses
* Dynamic Clamp and similar real-time techniques
* Neural interfacing at the cellular level
* Brain-Computer Interfaces approaches and state of the art