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Imprint
Spotlight
Computational models of brain connectivity, coupled with machine learning algorithms, make it possible to infer neuronal disease mechanisms from
non-invasive functional magnetic resonance imaging (fMRI) data in humans.
This illustration shows how dynamic systems models can be used for reducing
complex (high-dimensional) brain activity data to a simple (low-dimensional)
and mechanistically interpretable representation (Brodersen et al., PLoS
Comput. Biol. 2011). Please also see the summary on ETH Life.
Please use for any contact the form on the following page »».
Publisher
Prof. Joachim Buhmann, Head, ML Group, D-INFK
Editor
Björn Ommer, Webmaster, ML Group, D-INFK
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