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.
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.
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.
Kay H. Brodersen received a 'Trainee Abstract Award' at HBM 2010 for the abstract 'Threat-dependent modulation of anterior insula connectivity predicts pain.'
Alberto Giovanni Busetto and Joachim M. Buhmann received the "Best Paper Award" at IEEE CSE-09 for the paper "Stable Bayesian Parameter Estimation for Biological Dynamical Systems".
Manfred Claassen received the "Ian Lawson van Toch Outstanding Student Paper Award" for the paper he presented at ISMB/ECCB 2009.
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