Generalized linear models are the most commonly used tools to describe the stimulus selectivity of sensory neurons. Here we present a Bayesian treatment of such models. Using the ...
Sebastian Gerwinn, Jakob Macke, Matthias Seeger, M...
Abstract. A variational method for estimating a magnetic resonance coil sensitivity from its corresponding nonuniform illumination of magnetic resonance images is proposed and anal...
Background: The preprocessing of gene expression data obtained from several platforms routinely includes the aggregation of multiple raw signal intensities to one expression value...
Exact computation for aggregate queries usually requires large amounts of memory ? constrained in data-streaming ? or communication ? constrained in distributed computation ? and ...