A Dynamic Interface for Understanding Neuronal Spiking Behavior
Grade Level at Time of Presentation
Junior
Major
Computer Science
Minor
Mathematics
2nd Grade Level at Time of Presentation
Junior
2nd Student Major
Computer Science
3rd Grade Level at Time of Presentation
Sophomore
3rd Student Major
Computer Science
Institution
Kentucky State University
KY House District #
57
KY Senate District #
7
Faculty Advisor/ Mentor
Mike Unuakhalu
Department
Computer Science
Abstract
A Dynamic Interface for Understanding Neuronal Spiking Behavior
Camron Abner, John Bondoc, David Fowler, Ashok Kumar, Mike Unuakhalu, Sridhar Sunderam, Abhijit Patwardhan
Kentucky State University, University of Kentucky
Abstract
Working with faculty at the University of Kentucky’s F. Joseph Halcomb III, M.D. Department of Biomedical Engineering we developed interactive models that let the user explore concepts of neuroscience, specifically how neurons generate action potentials, or “spikes”, to convey information in response to a stimulus. The development is comprised of I) Numerical integration in space and time of the FitzHugh-Nagumo mathematical model of an excitable system. II) Simulation of the spread of action potentials in one and two-dimensional excitable media. III) An engine based on connected graphs rather than matrices, that would permit virtually any shape and configuration of neuronal circuitry. IV) An ongoing development of client-facing applications, building upon I, II, and III. The developed prototypes and their source codes are available online and can be run on any device with an up-to-date web browser.
This project was made possible by National Science Foundation Grant No. 1539068.
A Dynamic Interface for Understanding Neuronal Spiking Behavior
A Dynamic Interface for Understanding Neuronal Spiking Behavior
Camron Abner, John Bondoc, David Fowler, Ashok Kumar, Mike Unuakhalu, Sridhar Sunderam, Abhijit Patwardhan
Kentucky State University, University of Kentucky
Abstract
Working with faculty at the University of Kentucky’s F. Joseph Halcomb III, M.D. Department of Biomedical Engineering we developed interactive models that let the user explore concepts of neuroscience, specifically how neurons generate action potentials, or “spikes”, to convey information in response to a stimulus. The development is comprised of I) Numerical integration in space and time of the FitzHugh-Nagumo mathematical model of an excitable system. II) Simulation of the spread of action potentials in one and two-dimensional excitable media. III) An engine based on connected graphs rather than matrices, that would permit virtually any shape and configuration of neuronal circuitry. IV) An ongoing development of client-facing applications, building upon I, II, and III. The developed prototypes and their source codes are available online and can be run on any device with an up-to-date web browser.
This project was made possible by National Science Foundation Grant No. 1539068.