Kay Henning Brodersen

According to our database, Kay Henning Brodersen authored at least 14 papers between 2008 and 2017.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2017

Computational neuroimaging strategies for single patient predictions.

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

NeuroImage, 2017

2015

Inversion of hierarchical Bayesian models using Gaussian processes.

Ekaterina I. Lomakina, Saee Paliwal, Andreea Oliviana Diaconescu, Kay Henning Brodersen, Eduardo A. Aponte, Joachim M. Buhmann, Klaas E. Stephan

NeuroImage, 2015

2013

Decoding gender dimorphism of the human brain using multimodal anatomical and diffusion MRI data.

Delia-Lisa Feis, Kay Henning Brodersen, D. Yves von Cramon, Eileen Luders, Marc Tittgemeyer

NeuroImage, 2013

Variational Bayesian mixed-effects inference for classification studies.

Kay Henning Brodersen, Jean Daunizeau, Christoph Mathys, Justin R. Chumbley, Joachim M. Buhmann, Klaas E. Stephan

NeuroImage, 2013

Disentangling Spatial Perception and Spatial Memory in the Hippocampus: A Univariate and Multivariate Pattern Analysis fMRI Study.

Andy C. H. Lee, Kay Henning Brodersen, Sarah R. Rudebeck

J. Cogn. Neurosci., 2013

Probabilistic Performance Evaluation for Multiclass Classification Using the Posterior Balanced Accuracy.

Henry Carrillo, Kay Henning Brodersen, José A. Castellanos

Proceedings of the ROBOT 2013: First Iberian Robotics Conference, 2013

2012

Decoding the perception of pain from fMRI using multivariate pattern analysis.

Kay Henning Brodersen, Katja Wiech, Ekaterina I. Lomakina, Chia-shu Lin, Joachim M. Buhmann, Ulrike Bingel, Markus Ploner, Klaas Enno Stephan, Irene Tracey

NeuroImage, 2012

Bayesian mixed-effects inference on classification performance in hierarchical data sets.

Kay Henning Brodersen, Christoph Mathys, Justin R. Chumbley, Jean Daunizeau, Cheng Soon Ong, Joachim M. Buhmann, Klaas E. Stephan

J. Mach. Learn. Res., 2012

2011

Generative Embedding for Model-Based Classification of fMRI Data.

Kay Henning Brodersen, Thomas M. Schofield, Alexander P. Leff, Cheng Soon Ong, Ekaterina I. Lomakina, Joachim M. Buhmann, Klaas E. Stephan

PLoS Comput. Biol., 2011

Model-based feature construction for multivariate decoding.

Kay Henning Brodersen, Florent Haiss, Cheng Soon Ong, Fabienne Jung, Marc Tittgemeyer, Joachim M. Buhmann, Bruno Weber, Klaas E. Stephan

NeuroImage, 2011

Predicting Graduate-level Performance from Undergraduate Achievements.

Judith Zimmermann, Kay Henning Brodersen, Jean-Philippe Pellet, Elias August, Joachim M. Buhmann

Proceedings of the 4th International Conference on Educational Data Mining, 2011

2010

The Binormal Assumption on Precision-Recall Curves.

Kay Henning Brodersen, Cheng Soon Ong, Klaas Enno Stephan, Joachim M. Buhmann

Proceedings of the 20th International Conference on Pattern Recognition, 2010

The Balanced Accuracy and Its Posterior Distribution.

Kay Henning Brodersen, Cheng Soon Ong, Klaas Enno Stephan, Joachim M. Buhmann

Proceedings of the 20th International Conference on Pattern Recognition, 2010

2008

Integrated Bayesian models of learning and decision making for saccadic eye movements.

Kay Henning Brodersen, William D. Penny, Lee M. Harrison, Jean Daunizeau, Christian C. Ruff, Emrah Düzel, Karl J. Friston, Klaas E. Stephan

Neural Networks, 2008