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Machine Learning Laboratory
 
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Awards

Kay H. Brodersen received a Trainee Abstract Award at HBM 2012 for his work on 'Model-Based Clustering Using Generative Embedding.' Kay will be giving a talk on his results in Beijing on 12 June.

François Cellier received the McLeod Founder's Award of the Society for Modeling and Simulation International.

Spotlight

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.

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Publisher

Prof. Joachim Buhmann, Head, ML Group, D-INFK

Editor

Björn Ommer, Webmaster, ML Group, D-INFK

System Responsible

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© 2012 ETH Zurich | Imprint | Disclaimer | 24 May 2005
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