In order to fully understand how the brain works, it is essential to
study the complex inter-play of cognitive processes that are
characteristic when interacting with a rich natural environment. Going
beyond the localization of individual aspects of brain function is
pivotal as there are clear limits to what we can learn about the
function of the brain as whole via restricting investigation to
specialized cognitive sub-systems in feature deprived laboratory
settings.
We believe that there is need for more publicly available data on
real-life cognition, as well as analysis strategies to study complex
concurrent neural processes. We invite research groups and individuals
to participate in a contest to master these challenges. As a starting
point, we have published a large dataset (functional MRI, simultaneous
cardiac and respiratory measurements, technical noise estimates,
high-res structural images (T1w, T2w, SWI, angiography, DTI), and
stimulus annotations) that is available to anyone without restrictions:
Hanke, M., Baumgartner, F.J., Ibe, P., Kaule, F.R., Pollmann, S., Speck,
O., Zinke, W. & Stadler, J. (2014). A high-resolution 7-Tesla fMRI
dataset from complex natural stimulation with an audio movie. Scientific
Data, 1. doi:10.1038/sdata.2014.3
Among all submissions that are received until November 1 2014 a jury
will determine the best contributions in terms of novelty of the
approach, scientific rigor, and potential impact on future research and
application. The best three contributions will receive an award (3000,
1500, and 500 Euro respectively) sponsored by the Center for Behavioral
Brain Sciences, Magdeburg, Germany.
The jury consists of:
Uri Hasson (Princeton University)
James Haxby (Dartmouth College)
Daniel Margulies (MPI Leipzig)
Russ Poldrack (U Texas, Austin)
Jean-Baptiste Poline (Neurospin)
Stefan Pollmann (CBBS, Magdeburg)
Peter Ramadge (Princeton University)
For more information, demos, and data access visit:
http://studyforrest.org
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