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Fifty Shades of Gray, Matter: Using Bayesian priors to improve the power of whole-brain voxel- and connexelwise inferences

MPS-Authors
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Gorgolewski,  Krzysztof J.
Max Planck Research Group Neuroanatomy and Connectivity, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Bazin,  Pierre-Louis
Department Neurophysics, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Engen,  Haakon G.
Department Social Neuroscience, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Margulies,  Daniel S.
Max Planck Research Group Neuroanatomy and Connectivity, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Citation

Gorgolewski, K. J., Bazin, P.-L., Engen, H. G., & Margulies, D. S. (2013). Fifty Shades of Gray, Matter: Using Bayesian priors to improve the power of whole-brain voxel- and connexelwise inferences. In 2013 International Workshop on Pattern Recognition in NeuroImaging (PRNI).


Cite as: http://hdl.handle.net/11858/00-001M-0000-0014-4F54-C
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