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Abstract Details

Activity Number: 588
Type: Invited
Date/Time: Thursday, August 2, 2012 : 8:30 AM to 10:20 AM
Sponsor: Biopharmaceutical Section
Abstract - #303516
Title: Computational Neuroinformatics: Challenges, Methods, and Tools
Author(s): Ivo D Dinov*+
Companies: SOCR Resource
Address: UCLA Statistics, Los Angeles, CA, 90095, USA
Keywords: informatics ; imaging ; brain ; workflow ; pipeline

Contemporary Neuroinformatics employs multidisciplinary approaches to address challenging biomedical problems using heterogeneous data, e.g., imaging, phenotype and genotype. The Neuroinformatics community needs novel mathematical approaches, robust computational algorithms and efficient hardware infrastructure that enable modeling, analysis and visualization of data and results in large-scale studies. There is a significant push for developing, validating, integrating and distributing diverse computational resources and distributed web-services for processing, analyzing and visualizing large amounts of diverse data. This talk will discuss specific neuroimaging challenges, mathematical modeling and statistical techniques, computational infrastructure, and research findings based on brain development and aging data. Examples will include classification of spatially unaligned fMRI data, brain tissue classification, computational brain atlasing, spectral and PDE based shape representations, Bayesian network modeling, and statistical analyses of biological manifolds. We will discuss interoperability of disparate computational resources and execution of complex informatics workflows.

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