DOI
https://doi.org/10.25772/D6AZ-JB33
Defense Date
2015
Document Type
Thesis
Degree Name
Master of Science
Department
Computer Science
First Advisor
Krzysztof J. Cios
Second Advisor
Vojislav Kecman
Third Advisor
Tomasz Arodz
Fourth Advisor
Yuichi Motai
Abstract
Networks of spiking neurons can be used not only for brain modeling but also to solve graph problems. With the use of a computationally efficient Izhikevich neuron model combined with plasticity rules, the networks possess self-organizing characteristics. Two different time-based synaptic plasticity rules are used to adjust weights among nodes in a graph resulting in solutions to graph prob- lems such as finding the shortest path and clustering.
Rights
© The Author
Is Part Of
VCU University Archives
Is Part Of
VCU Theses and Dissertations
Date of Submission
8-17-2015