Kay H. Brodersen

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Klaas Enno StephanTranslational Neuromodeling Unit (TNU), IBT, University of Zurich and ETH ZurichVerified email at uzh.ch
Joachim M. BuhmannETH ZurichVerified email at inf.ethz.ch
Ekaterina LomakinaGoogle Inc.Verified email at google.com
Cheng Soon OngData61, CSIRO, CanberraVerified email at anu.edu.au
Christoph MathysAarhus University, Aarhus, DenmarkVerified email at cas.au.dk
jean daunizeauINSERM / Paris Brain Institute (ICM), Paris, FranceVerified email at icm-institute.org
Sandra IglesiasTranslational Neuromodeling Unit (TNU), University of Zurich & ETH ZurichVerified email at biomed.ee.ethz.ch
Chia-shu LinProfessor, National Yang Ming Chiao Tung UniversityVerified email at nycu.edu.tw
Irene TraceyUniversity of OxfordVerified email at ndcn.ox.ac.uk
Lars KasperScientific Associate, BRAIN-TO Lab, Techna Institute, University Health Network, Toronto, CanadaVerified email at rmp.uhn.ca
Karl FristonUniversity College LondonVerified email at ucl.ac.uk
Steven ScottAible, Inc.Verified email at aible.com
Ulrike BingelProfessor of Clinical Neuroscience, University Medicine Essen, University Duisburg-EssenVerified email at uk-essen.de
Markus PlonerProfessor of Human Pain Research, Technical University of MunichVerified email at tum.de
Tim BehrensProfessor of Computational Neuroscience, University of Oxford. Honorary Prof, UCLVerified email at fmrib.ox.ac.uk
Florian Schlagenhauf1Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, HumboldtVerified email at charite.de
Raymond DolanUCLVerified email at ucl.ac.uk
Will PennyProfessor of Imaging Neuroscience UCLVerified email at ucl.ac.uk
James R KoehlerVerified email at videoamp.com
Marc TittgemeyerMax-Planck-Institute for Metabolism ResearchVerified email at sf.mpg.de

Kay H. Brodersen

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Data science Causal inference Bayesian statistics Time-series analysis Machine learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
The balanced accuracy and its posterior distribution KH Brodersen, CS Ong, KE Stephan, JM Buhmann 2010 20th international conference on pattern recognition, 3121-3124, 2010	1308	2010
Inferring causal impact using Bayesian structural time-series models KH Brodersen, F Gallusser, J Koehler, N Remy, SL Scott The Annals of Applied Statistics, 247-274, 2015	719	2015
Anterior insula integrates information about salience into perceptual decisions about pain K Wiech, C Lin, KH Brodersen, U Bingel, M Ploner, I Tracey Journal of Neuroscience 30 (48), 16324-16331, 2010	445	2010
Uncertainty in perception and the Hierarchical Gaussian Filter CD Mathys, EI Lomakina, J Daunizeau, S Iglesias, KH Brodersen, ... Frontiers in human neuroscience 8, 825, 2014	328	2014
Hierarchical prediction errors in midbrain and basal forebrain during sensory learning S Iglesias, C Mathys, KH Brodersen, L Kasper, M Piccirelli, ... Neuron 80 (2), 519-530, 2013	305	2013
Decoding the perception of pain from fMRI using multivariate pattern analysis KH Brodersen, K Wiech, EI Lomakina, C Lin, JM Buhmann, U Bingel, ... NeuroImage 63, 1162-1170, 2012	190	2012
Dissecting psychiatric spectrum disorders by generative embedding KH Brodersen, L Deserno, F Schlagenhauf, Z Lin, WD Penny, ... NeuroImage: Clinical 4, 98-111, 2014	187	2014
Generative embedding for model-based classification of fMRI data KH Brodersen, TM Schofield, AP Leff, CS Ong, EI Lomakina, JM Buhmann, ... PLoS computational biology 7 (6), e1002079, 2011	185	2011
Computational neuroimaging strategies for single patient predictions KE Stephan, F Schlagenhauf, QJM Huys, S Raman, EA Aponte, ... Neuroimage 145, 180-199, 2017	143	2017
Segregated encoding of reward–identity and stimulus–reward associations in human orbitofrontal cortex MC Klein-Flügge, HC Barron, KH Brodersen, RJ Dolan, TEJ Behrens Journal of Neuroscience 33 (7), 3202-3211, 2013	143	2013
Laminar activity in the hippocampus and entorhinal cortex related to novelty and episodic encoding A Maass, H Schütze, O Speck, A Yonelinas, C Tempelmann, HJ Heinze, ... Nature communications 5 (1), 5547, 2014	91	2014
The binormal assumption on precision-recall curves KH Brodersen, CS Ong, KE Stephan, JM Buhmann 2010 20th International Conference on Pattern Recognition, 4263-4266, 2010	90	2010
A Model-Based Approach to Predicting Graduate-Level Performance Using Indicators of Undergraduate-Level Performance. J Zimmermann, KH Brodersen, HR Heinimann, JM Buhmann Journal of Educational Data Mining 7 (3), 151-176, 2015	70	2015
Reward-guided learning with and without causal attribution G Jocham, KH Brodersen, AO Constantinescu, MC Kahn, AM Ianni, ... Neuron 90 (1), 177-190, 2016	67	2016
Decoding genderdimorphism of the human brain using multimodal anatomical and diffusion MRI data. DL Feis, KH Brodersen, DY von Cramon, E Luders, M Tittgemeyer NeuroImage, 2013	63	2013
Probabilistic performance evaluation for multiclass classification using the posterior balanced accuracy H Carrillo, KH Brodersen, JA Castellanos ROBOT2013: First Iberian Robotics Conference: Advances in Robotics, Vol. 1 …, 2014	48	2014
Model-based feature construction for multivariate decoding KH Brodersen, F Haiss, CS Ong, F Jung, M Tittgemeyer, JM Buhmann, ... NeuroImage 56 (2), 601-615, 2011	46	2011
Variational Bayesian mixed-effects inference for classification studies KH Brodersen, J Daunizeau, C Mathys, JR Chumbley, JM Buhmann, ... Neuroimage 76, 345-361, 2013	43	2013
Integrated Bayesian models of learning and decision making for saccadic eye movements KH Brodersen, WD Penny, LM Harrison, J Daunizeau, CC Ruff, E Duzel, ... Neural Networks 21 (9), 1247-1260, 2008	42	2008
Systems and methods for anomaly detection and guided analysis using structural time-series models KH Brodersen, H Garnes, D Meretakis, O Bachmann, SL Scott US Patent 20,160,062,950, 2016	38	2016

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