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A probabilistic latent variable model for detecting structure in binary data
The model infers sparse activity in a set of binary latent variables, each describing the activity of a cell assembly.
A Model for Image Segmentation in Retina
Networks with phase interactions set by standard representations of the feature graph (adjacency matrix, Graph Laplacian or modularity) failed to exhibit segmentation performance significantly over the baseline, a model of independent sensors.
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