Kay H. Brodersen
TitleCited byYear
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
4782010
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
3202010
Inferring causal impact using Bayesian structural time-series models
KH Brodersen, F Gallusser, J Koehler, N Remy, SL Scott
The Annals of Applied Statistics 9 (1), 247-274, 2015
2292015
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
1862013
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
1422011
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
1342012
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
1282014
Dissecting psychiatric spectrum disorders by generative embedding
KH Brodersen, L Deserno, F Schlagenhauf, Z Lin, WD Penny, ...
NeuroImage: Clinical 4, 98-111, 2014
1212014
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
962013
Computational neuroimaging strategies for single patient predictions
KE Stephan, F Schlagenhauf, QJM Huys, S Raman, EA Aponte, ...
Neuroimage 145, 180-199, 2017
832017
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
632010
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, 5547, 2014
592014
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
392011
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
382013
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
362008
Variational Bayesian mixed-effects inference for classification studies
KH Brodersen, J Daunizeau, C Mathys, JR Chumbley, JM Buhmann, ...
Neuroimage 76, 345-361, 2013
322013
Reward-guided learning with and without causal attribution
G Jocham, KH Brodersen, AO Constantinescu, MC Kahn, AM Ianni, ...
Neuron 90 (1), 177-190, 2016
302016
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
302015
Probabilistic performance evaluation for multiclass classification using the posterior balanced accuracy
H Carrillo, KH Brodersen, JA Castellanos
ROBOT2013: First Iberian Robotics Conference, 347-361, 2014
242014
Bayesian mixed-effects inference on classification performance in hierarchical data sets
KH Brodersen, C Mathys, JR Chumbley, J Daunizeau, CS Ong, ...
Journal of Machine Learning Research 13, 3133-3176, 2012
202012
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Articles 1–20