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Complexity Science Seminar Series - Abstracts
Title: Data Mining Methods for Neuroinformatics
Presenter: K.P. Unnikrishnan General Motors Research Date and Time: Tuesday, October 9, 2007, 3:30-4:30 PM Note: This particular seminar is jointly organized with Center for High End Computing Systems. Please note the date, time and location. Abstract: Data Mining involves mathematical theories, statistical techniques, and computational algorithms for pattern discovery from data. Goals of Neuroinformatics are similar, when the data concerns the nervous system. We describe methods to discover structural properties of complex, dynamical networks from observed data streams. By discovering structures in multi-neuronal spike trains, we are able to uncover the functional connectivity (graphical structure) of the underlying neuronal networks and observe their time-evolutions. We have successfully used these methods to analyze multi-channel signals from cortical neurons and are currently using them to understand the C. elegans nervous system. We conclude with a brief discussion of Neural Codes and how Data Mining can help discover them.Seminar Location: This joint seminar is held at: NDSSL Conference Room, Virginia Tech, Corporate Research Center 1880 Pratt Drive, Building XV Back to: NDSSL Seminar Page |
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