Kay Henning Brodersen

Department of Computer Science, ETH Zurich
Department of Information Technology and Electrical Engineering, ETH Zurich

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Talks

Next talks

• ‘Model-based clustering using generative embedding.’
  12/06/2012, Oral presentation at Human Brain Mapping, Beijing, China.

Past talks (2009 — 2012)

• ‘Model-based analysis of disease states of the brain using generative embedding.’
  15/03/2012, MR colloquium, Institute for Biomedical Engineering, ETH Zurich.
  [pdf]
• ‘Multivariate analyses & decoding.’
  16/02/2012, SPM Course 2012, Zurich.
  [pdf]
• ‘Generative embedding for model-based classification.’
  28/11/2011, Freiburg Brain Imaging Center, Universität Freiburg, Germany.
  [pdf]
• ‘Multivariate analyses & decoding.’
  27/11/2011, SPM Course, University of Zurich.
  [pdf]
• ‘Computational science: machine learning and pattern recognition.’
  22/11/2011, Fit in IT, Kantonsschule Rychenberg Winterthur.
• ‘Towards model-based diagnostics of human brain pathophysiology.’
  21/11/2011, Symposium on Imaging and Visualization, Zurich.
  [pdf]
• ‘Bayesian inversion of deterministic dynamic causal models.’
  16/11/2011, Computational Neuroeconomics Seminar, University of Zurich.
  [pdf]
• ‘Contingency learning in the human brain.’
  13/10/2011, Wellcome Trust Centre for Neuroimaging, University College London, UK.
• ‘Mixed-effects inference on classification performance in group studies.’
  12/10/2011, Analysis group, FMRIB, University of Oxford, UK.
• ‘Generative embedding and model-based classification.’
  11/10/2011, FMRIB Seminar, University of Oxford, UK.
  [pdf]
• ‘Studying Computer Science at ETH Zurich.’
  14/07/2011, Prestudy event, Department of Computer Science, ETH Zurich.
• ‘Generative embedding for model-based classification.’
  11/07/2011, SystemsX.ch Neurochoice, Les Diablerets.
  [pdf]
• ‘Mixed-effects inference on classification performance in group studies.’
  30/06/2011, Interactive session at Human Brain Mapping, Quebec City.
• ‘Multivariate decoding of perceptual decisions about pain.’
  29/06/2011, Interactive session at Human Brain Mapping, Quebec City.
• ‘Orbitofrontal cortex distributes reinforcement to the decision that caused it.’
  28/06/2011, Oral presentation at Human Brain Mapping, Quebec City.
  [pdf]
• ‘Generative embedding for model-based classification of fMRI data.’
  27/06/2011, Oral presentation at Human Brain Mapping, Quebec City.
  [pdf]
• ‘The amygdala becomes reward-sensitive when an outcome cannot be assigned to the correct decision.’
  27/06/2011, Oral presentation at Human Brain Mapping, Quebec City.
  [pdf]
• ‘Model-based classification through generative embedding.’
  17/05/2011, Automatic Control Laboratory, Department of Information Technology and Electrical Engineering, ETH Zurich.
  [pdf]
• ‘An introduction to machine learning.’
  05/05/2011, Computer Science Open Days, ETH Zurich.
• ‘Higher-order linear dynamical systems.’
  23/03/2011, Computational Neuroeconomics Seminar, University of Zurich.
  [pdf]
• ‘An introduction to machine learning.’
  15/03/2011, ICT Training Day, Kantonsschule Freudenberg, Zurich.
• ‘Generative embedding enables model-based classification in fMRI.’
  24/02/2011, FHSB Seminar, Zurich.
  [pdf]
• ‘Mixed-effects inference on classification performance in group studies.’
  21/02/2011, Machine Learning Seminar, ETH Zurich.
• ‘Multivariate analyses & decoding.’
  17/02/2011, SPM Course 2011, Zurich.
  [pdf]
• ‘Mixed-effects inference on classification performance in group studies.’
  01/02/2011, Methods II Meeting, Wellcome Trust Centre for Neuroimaging, University College London.
• ‘Stochastic approximate inference.’
  08/12/2010, Computational Neuroeconomics Seminar, University of Zurich.
  [pdf]
• ‘Multivariate analyses & decoding.’
  21/11/2010, SPM Lectures, Zurich.
• ‘Generative embedding for fMRI.’
  15/11/2010, Machine Learning Seminar, ETH Zurich.
• ‘Multivariate machine-learning methods for analysing electrophysiological and fMRI data.’
  07/10/2010, SystemsX.ch Neurochoice, Online Tutorial.
• ‘Evaluation of classification performance on small, imbalanced datasets.’
  21/06/2010, Machine Learning Seminar, ETH Zurich.
  [pdf]
• ‘Model-based feature construction for multivariate decoding.’
  16/06/2010, SystemsX.ch Neurochoice Retreat, Kandersteg.
• ‘Threat-dependent modulation of anterior insula connectivity predicts pain.’
  09/06/2010, Human Brain Mapping, Barcelona.
  [pdf]
• ‘Multivariate analyses & decoding.’
  18/02/2010, SPM Course 2010, Zurich.
  [pdf]
• ‘Multivariate analyses of preferences and choice.’
  21/01/2010, Economics Retreat, Rigi Kaltbad.
• ‘Model-based feature construction for multivariate decoding.’
  01/12/2009, Methods II Meeting, Wellcome Trust Centre for Neuroimaging, University College London.
• ‘Multivariate decoding of cognitive states from brain activity.’
  18/09/2009, SystemsX.ch Neurochoice Retreat, Berlingen.
• ‘Multiclass + 1 classification.’
  25/08/2009, Machine Learning Retreat, Lugano.
• ‘Dancing with Mr. D — why multivariate decoding offers a compelling approach to fMRI analysis.’
  02/07/2009, Neuroinformatics Symposium, ETH Zurich.
• ‘Multivariate pattern analysis for neuroimaging datasets.’
  29/04/2009, Methods Seminar, University of Zurich.