A Minimal Spanning Tree Analysis of EEG Responses to Complex Visual Stimuli
Published: Nov 1, 2014
Abstract
Human brain is the most complicated network and its functional mechanism is a demanding concept in neuroscience research. Graph theory and forms an interesting tool for modeling the brain interactions and estimated brain parameters. In this paper, we consider synchronization features for modeling brain operations in electro-encephalogram (EEG) responses to kanizsa and fractal stimuli, using minimal spanning tree (MST) on a network of phase...
Paper Details
Title
A Minimal Spanning Tree Analysis of EEG Responses to Complex Visual Stimuli
Published Date
Nov 1, 2014
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