INCF is an international organization devoted to advancing the field of neuroinformatics

http://neuroinformatics2010.org
Image Competition INCF Image Competition

How would you illustrate the intersection between neuroscience and computing? Share your best neuroinformatics images with the world, and you might win prizes sponsored by Olympus and Frontiers. Participate in the INCF Image Competition!

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July 19, 2010 12:32 PM

INCF Image Competition - entry deadline is August 1st!

Send us your best images and graphics, for a chance to win ¥200,000 or to grace the cover of a Frontiers e-issuimage for startpagee!
The INCF Image Competition accepts photos and graphical artwork related to neuroinformatics, for a chance to win either the INCF Olympus Prize or the INCF Frontiers Prize. The aim of the competition is to show the scope and depth of the neuroinformatics field, and to highlight scientific and science-inspired art. Submit your image by August 1st to be in the competition!

 

For more details, see the competition webpage.

July 09, 2010 03:15 PM
Registration Open for Digital Atlasing Workshop

Registration Open for Digital Atlasing Workshop

The INCF Program on Digital Atlasing will be holding an open Workshop immediately after Neuroinformatics 2010 in Kobe.

The day-long Workshop will be held Sept. 2 at the Portopia Hotel and is open to everyone. Progress of the program towards interoperability between diverse atlasing efforts will be featured, including Waxholm Space (WHS) as a spatial standard for the mouse brain and INCF Digital Atlasing Infrastructure (DAI) which supports this interoperability. Highlights include demonstrations and hands-on activities with software tools, transformation services, standards development, and information about how others might take advantage of this framework. Limited spots are available. To register, please email DA-Workshop@incf.org.

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Sharon Crook"As neuroscience models become more complex and extend to multiple scales, efforts to promote model reproducibility in our community will have profound effects on the quality and reliability of computational approaches."
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