Pattern recognition device using scalar vector graphics

Scalar vector graphics (SVG), an Extensible Markup Language (XML) based graphical language can be used to recognized patterns in categorized binary strings. We show how binary trees can be constructed where the hierarchical structure of the SVG file is a mirror of the hierarchical structure of the tree. We also show that this binary SVG structure can model a neuron by a applying a temporal signal to the leaves and summing the values of attributes of adjacent nodes. We present this as a framework, which can represent the geometric properties of the neuron while simultaneously defining valid logical paths for signal transmission. Because SVG is an XML based technology it is an excellent medium for representing tree based structures and processes. Additionally, the line and color properties of SVG provide an excellent way to view the state of a network at any given time.