Research
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The Seung Lab combines methods from biology and computer science to investigate the connectivity of neurons in biological tissue. On the neurobiology side, this includes engineering of genetically modified viruses for trans-synaptic tracing and methods of optical imaging and stimulation of neurons in culture. On the computer science side we develop methods for processing stacks of microscopic images for segmentation and classification of neurites, synapses and other relevant structures. We have successfully employed machine learning approaches (e.g. convolutional networks) for such tasks. Semi-automatic or automatic algorithms are needed to cope with the very large image data sets (in the tera- and petabyte range) which are now produced in the emerging field of Connectomics. |