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Awards
G.-M.
Baschera, A.G. Busetto, S. Klingler, J.M. Buhmann and M. Gross received the
Best Student Paper Award at AIED 2011 for the paper titled "Modeling
Engagement Dynamics in Spelling Learning".
François Cellier received the McLeod Founder's Award of the Society for Modeling and Simulation International.
Kay H. Brodersen received a Trainee Abstract Award at HBM 2011 for his work on 'Generative embedding for model-based classification of fMRI data.' Kay will be presenting his work in three oral presentations in Quebec City on 27 and 28 June.
Kate I. Lomakina received a Trainee Abstract Award at HBM 2011 for her work on 'Gaussian processes for whole-brain feature selection and classification in fMRI.'
François Cellier has been appointed as individual member of the Swiss Academy of Engineering Sciences on 7 April 2011
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).
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