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ORCIDKay Henning Brodersen
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2010 – 2019
- 2017
[j10]Klaas E. Stephan
, Florian Schlagenhauf, Quentin J. M. Huys, Sudhir Raman, Eduardo A. Aponte, Kay Henning Brodersen, Lionel Rigoux, Rosalyn J. Moran, Jean Daunizeau, Ray Dolan, Karl J. Friston, Andreas Heinz:
Computational neuroimaging strategies for single patient predictions. NeuroImage 145: 180-199 (2017)- 2015
- [j9]Ekaterina I. Lomakina, Saee Paliwal, Andreea Oliviana Diaconescu, Kay Henning Brodersen, Eduardo A. Aponte, Joachim M. Buhmann, Klaas E. Stephan:
Inversion of hierarchical Bayesian models using Gaussian processes. NeuroImage 118: 133-145 (2015) - 2013
- [j8]Andy C. H. Lee, Kay Henning Brodersen, Sarah R. Rudebeck:
Disentangling Spatial Perception and Spatial Memory in the Hippocampus: A Univariate and Multivariate Pattern Analysis fMRI Study. J. Cogn. Neurosci. 25(4): 534-546 (2013) - [j7]Delia-Lisa Feis, Kay Henning Brodersen, D. Yves von Cramon, Eileen Luders, Marc Tittgemeyer:
Decoding gender dimorphism of the human brain using multimodal anatomical and diffusion MRI data. NeuroImage 70: 250-257 (2013) - [j6]Kay Henning Brodersen, Jean Daunizeau, Christoph Mathys, Justin R. Chumbley, Joachim M. Buhmann, Klaas E. Stephan:
Variational Bayesian mixed-effects inference for classification studies. NeuroImage 76: 345-361 (2013) - [c4]Henry Carrillo, Kay Henning Brodersen, José A. Castellanos:
Probabilistic Performance Evaluation for Multiclass Classification Using the Posterior Balanced Accuracy. ROBOT (1) 2013: 347-361 - 2012
- [j5]Kay Henning Brodersen, Christoph Mathys, Justin R. Chumbley, Jean Daunizeau, Cheng Soon Ong, Joachim M. Buhmann, Klaas E. Stephan:
Bayesian mixed-effects inference on classification performance in hierarchical data sets. J. Mach. Learn. Res. 13: 3133-3176 (2012) - [j4]Kay Henning Brodersen, Katja Wiech, Ekaterina I. Lomakina, Chia-shu Lin, Joachim M. Buhmann, Ulrike Bingel, Markus Ploner, Klaas Enno Stephan, Irene Tracey:
Decoding the perception of pain from fMRI using multivariate pattern analysis. NeuroImage 63(3): 1162-1170 (2012) - 2011
- [j3]Kay Henning Brodersen, Florent Haiss, Cheng Soon Ong, Fabienne Jung, Marc Tittgemeyer, Joachim M. Buhmann, Bruno Weber, Klaas E. Stephan:
Model-based feature construction for multivariate decoding. NeuroImage 56(2): 601-615 (2011) - [j2]Kay Henning Brodersen, Thomas M. Schofield, Alexander P. Leff, Cheng Soon Ong, Ekaterina I. Lomakina, Joachim M. Buhmann, Klaas E. Stephan:
Generative Embedding for Model-Based Classification of fMRI Data. PLoS Comput. Biol. 7(6) (2011) - [c3]Judith Zimmermann, Kay Henning Brodersen, Jean-Philippe Pellet, Elias August, Joachim M. Buhmann:
Predicting Graduate-level Performance from Undergraduate Achievements. EDM 2011: 357-358 - 2010
- [c2]Kay Henning Brodersen, Cheng Soon Ong, Klaas Enno Stephan, Joachim M. Buhmann:
The Balanced Accuracy and Its Posterior Distribution. ICPR 2010: 3121-3124 - [c1]Kay Henning Brodersen, Cheng Soon Ong, Klaas Enno Stephan, Joachim M. Buhmann:
The Binormal Assumption on Precision-Recall Curves. ICPR 2010: 4263-4266
2000 – 2009
- 2008
- [j1]Kay Henning Brodersen, William D. Penny, Lee M. Harrison, Jean Daunizeau, Christian C. Ruff, Emrah Düzel, Karl J. Friston, Klaas E. Stephan:
Integrated Bayesian models of learning and decision making for saccadic eye movements. Neural Networks 21(9): 1247-1260 (2008)
Coauthor Index
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