Christoph Mathys

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 13

Top Topics

Bayesian Learning

Gaussian Filter

Top Venues

PLoS Comput. Biol.

PKDD/ECML Workshops (1)

Publications

Lilian Aline Weber, Peter Thestrup Waade, Nicolas Legrand, Anna Hedvig Møller, Klaas Enno Stephan, Christoph Mathys
The generalized Hierarchical Gaussian Filter. CoRR (2023)
Christoffer Lundbak Olesen, Peter Thestrup Waade, Larissa Albantakis, Christoph Mathys
Phi fluctuates with surprisal: An empirical pre-study for the synthesis of the free energy principle and integrated information theory. PLoS Comput. Biol. 19 (10) (2023)
Ismail Senöz, Albert Podusenko, Semih Akbayrak, Christoph Mathys, Bert de Vries
The Switching Hierarchical Gaussian Filter. ISIT (2021)
Peter Thestrup Waade, Nace Mikus, Christoph Mathys
Inferring in Circles: Active Inference in Continuous State Space Using Hierarchical Gaussian Filtering of Sufficient Statistics. PKDD/ECML Workshops (1) (2021)
Sandra Iglesias, Lars Kasper, Samuel J. Harrison, Robert Manka, Christoph Mathys, Klaas E. Stephan
Cholinergic and dopaminergic effects on prediction error and uncertainty responses during sensory associative learning. NeuroImage 226 (2021)
Tore Erdmann, Christoph Mathys
Rule Learning Through Active Inductive Inference. PKDD/ECML Workshops (1) (2021)
Christoph Mathys, Lilian A. E. Weber
Hierarchical Gaussian Filtering of Sufficient Statistic Time Series for Active Inference. IWAI (2020)
Lara Henco, Andreea O. Diaconescu, Juha M. Lahnakoski, Marie-Luise Brandi, Sophia Hörmann, Johannes Hennings, Alkomiet Hasan, Irina Papazova, Wolfgang Strube, Dimitris Bolis, Leonhard Schilbach, Christoph Mathys
Aberrant computational mechanisms of social learning and decision-making in schizophrenia and borderline personality disorder. PLoS Comput. Biol. 16 (9) (2020)
Francesco Rigoli, Christoph Mathys, Karl J. Friston, Raymond J. Dolan
Correction: A unifying Bayesian account of contextual effects in value-based choice. PLoS Comput. Biol. 15 (10) (2019)
Karl J. Friston, Katrin H. Preller, Christoph Mathys, Hayriye Cagnan, Jakob Heinzle, Adeel Razi, Peter Zeidman
Dynamic causal modelling revisited. NeuroImage 199 (2019)
Teresa Katthagen, Christoph Mathys, Lorenz Deserno, Henrik Walter, Norbert Kathmann, Andreas Heinz, Florian Schlagenhauf
Modeling subjective relevance in schizophrenia and its relation to aberrant salience. PLoS Comput. Biol. 14 (8) (2018)
Francesco Rigoli, Christoph Mathys, Karl J. Friston, Raymond J. Dolan
A unifying Bayesian account of contextual effects in value-based choice. PLoS Comput. Biol. 13 (10) (2017)
M. Berk Mirza, Rick A. Adams, Christoph Mathys, Karl J. Friston
Scene Construction, Visual Foraging, and Active Inference. Frontiers Comput. Neurosci. 10 (2016)
Andreea Oliviana Diaconescu, Christoph Mathys, Lilian A. E. Weber, Jean Daunizeau, Lars Kasper, Ekaterina I. Lomakina, Ernst Fehr, Klaas E. Stephan
Inferring on the Intentions of Others by Hierarchical Bayesian Learning. PLoS Comput. Biol. 10 (9) (2014)
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 (2013)
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 (2012)