James B. Lackey

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We present a new application of the Image Analogies algorithm to be used for image segmentation. Our approach requires supervised training data, so we apply it to the domain of labeling human anatomical data. In the Visible Human Project, expert anatomists are overwhelmed with high-resolution images to analyze. We propose that the anatomist can work in(More)
The goal of this project is to understand the computational characteristics of a spiking neural network (SNN) that behaves as an associative memory. The basic SNN model, which we call a pathway, consists of a set of input neurons mapping to a set of output neurons. We first perform a training procedure so that the pathway achieves a specified input/output(More)
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