Poster Title

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

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.

This document is currently not available here.

Share

COinS
 

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.