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- Published: Monday, 30 September 2013 14:06
Major New Release of CellOrganizer 2.0
A major new release of the CellOrganizer system for creating image-derived models of cell shape and organization has just been published. The software is a major focus of research supported by the NIH through the National Center for Multiscale Modeling of Biological Systems (MMBioS). It creates statistical, generative models of cell and nuclear shape, microtubule patterns, and vesicular organelles that can be used as the basis for cell simulations (another focus of MMBioS). Generative models capture not just a description of a pattern but the ability to produce new examples of that pattern (analogously to the way in which humans capture models of letters or spoken words not just by describing them but by learning to produce new examples). Support for CellOrganizer has also come from NIH grants GM075205 and GM090033.
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- Published: Thursday, 02 May 2013 16:11
Salk scientist Terrence Sejnowski elected to American Academy of Arts and Sciences
LA JOLLA, CA—Salk researcher Terrence J. Sejnowski, professor and head of the Computational Neurobiology Laboratory, has been elected a Fellow of the American Academy of Arts and Sciences, a distinction awarded annually to global leaders in business, government, public affairs, the arts and popular culture as well as biomedical research.
Sejnowski is world renowned as a pioneer in the field of computational neuroscience and his work on neural networks helped spark the neural networks revolution in computing in the 1980s. His research has made important contributions to artificial and real neural network algorithms and applying signal processing models to neuroscience.
Read Full Article: http://www.salk.edu/news/pressrelease_details.php?press_id=611
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- Published: Thursday, 04 April 2013 18:48
Neuroimaging Resource Powers-up with new Cloud Computing Capability
A valuable resource for MMBioS researchers is now "in the cloud".
A library of tools for analyzing brain images and related data has moved to the “cloud,” potentially enabling faster and cheaper analysis and hypothesis-testing.
Follow the Money: Big Grants in Biomedical Computing
The clear winner: Big Data
MMBios Featured in Biomedical Computation Review, highlighting Big Data by "Bridging Gaps in Multiscale Modeling"
Several biomedical computing projects received big money in the fall of 2012. If there’s one clear winner, it’s “Big Data”: three of the grants focus on building new computational infrastructure and tools for dealing with massive biological datasets. A fourth grant focuses on building new tools for multiscale modeling.
NIH Awards $9.3 Million to Establish Biomedical Technology Research Center
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