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

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