Christoph Mathys

20 papers B 1Journal 15Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
As One and Many: Relating Individual and Emergent Group-Level Generative Models in Active Inference.
Entropy
Peter Thestrup Waade, Christoffer Lundbak Olesen, Jonathan Ehrenreich Laursen, Samuel William Nehrer, Conor Heins, Karl John Friston, Christoph Mathys
2024 — conf
Hippocampal Processing of Levels of Uncertainty and Environmental Volatility. OPM-MEG Correlates of Learning Through Levels of Uncertainty by a Hierarchical Gaussian Filter.
MetroXRAINE
Marta Suárez-Pinilla, Holly Schofield, Ryan M. Hill, Matthew J. Brookes, Christoph Mathys, Bryan Strange
2024 J jnl
Introducing ActiveInference.jl: A Julia Library for Simulation and Parameter Estimation with Active Inference Models.
Entropy
Samuel William Nehrer, Jonathan Ehrenreich Laursen, Conor Heins, Karl J. Friston, Christoph Mathys, Peter Thestrup Waade
2024 J jnl
pyhgf: A neural network library for predictive coding.
CoRR
Nicolas Legrand, Lilian Aline Weber, Peter Thestrup Waade, Anna Hedvig Møller Daugaard, Mojtaba Khodadadi, Nace Mikus, Christoph Mathys
2023 J jnl
Phi fluctuates with surprisal: An empirical pre-study for the synthesis of the free energy principle and integrated information theory.
PLoS Comput. Biol.
Christoffer Lundbak Olesen, Peter Thestrup Waade, Larissa Albantakis, Christoph Mathys
2023 J jnl
The generalized Hierarchical Gaussian Filter.
CoRR
Lilian Aline Weber, Peter Thestrup Waade, Nicolas Legrand, Anna Hedvig Møller, Klaas Enno Stephan, Christoph Mathys
2021 J jnl
Cholinergic and dopaminergic effects on prediction error and uncertainty responses during sensory associative learning.
NeuroImage
Sandra Iglesias, Lars Kasper, Samuel J. Harrison, Robert Manka, Christoph Mathys, Klaas E. Stephan
2021 — conf
Inferring in Circles: Active Inference in Continuous State Space Using Hierarchical Gaussian Filtering of Sufficient Statistics.
PKDD/ECML Workshops (1)
Peter Thestrup Waade, Nace Mikus, Christoph Mathys
2021 — conf
Rule Learning Through Active Inductive Inference.
PKDD/ECML Workshops (1)
Tore Erdmann, Christoph Mathys
2021 B conf
The Switching Hierarchical Gaussian Filter.
ISIT
Ismail Senöz, Albert Podusenko, Semih Akbayrak, Christoph Mathys, Bert de Vries
2020 J jnl
Aberrant computational mechanisms of social learning and decision-making in schizophrenia and borderline personality disorder.
PLoS Comput. Biol.
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
2020 — conf
Hierarchical Gaussian Filtering of Sufficient Statistic Time Series for Active Inference.
IWAI
Christoph Mathys, Lilian A. E. Weber
2019 J jnl
Correction: A unifying Bayesian account of contextual effects in value-based choice.
PLoS Comput. Biol.
Francesco Rigoli, Christoph Mathys, Karl J. Friston, Raymond J. Dolan
2019 J jnl
Dynamic causal modelling revisited.
NeuroImage
Karl J. Friston, Katrin H. Preller, Christoph Mathys, Hayriye Cagnan, Jakob Heinzle, Adeel Razi, Peter Zeidman
2018 J jnl
Modeling subjective relevance in schizophrenia and its relation to aberrant salience.
PLoS Comput. Biol.
Teresa Katthagen, Christoph Mathys, Lorenz Deserno, Henrik Walter, Norbert Kathmann, Andreas Heinz, Florian Schlagenhauf
2017 J jnl
A unifying Bayesian account of contextual effects in value-based choice.
PLoS Comput. Biol.
Francesco Rigoli, Christoph Mathys, Karl J. Friston, Raymond J. Dolan
2016 J jnl
Scene Construction, Visual Foraging, and Active Inference.
Frontiers Comput. Neurosci.
M. Berk Mirza, Rick A. Adams, Christoph Mathys, Karl J. Friston
2014 J jnl
Inferring on the Intentions of Others by Hierarchical Bayesian Learning.
PLoS Comput. Biol.
Andreea Oliviana Diaconescu, Christoph Mathys, Lilian A. E. Weber, Jean Daunizeau, Lars Kasper, Ekaterina I. Lomakina, Ernst Fehr, Klaas E. Stephan
2013 J jnl
Variational Bayesian mixed-effects inference for classification studies.
NeuroImage
Kay Henning Brodersen, Jean Daunizeau, Christoph Mathys, Justin R. Chumbley, Joachim M. Buhmann, Klaas E. Stephan
2012 J jnl
Bayesian mixed-effects inference on classification performance in hierarchical data sets.
J. Mach. Learn. Res.
Kay Henning Brodersen, Christoph Mathys, Justin R. Chumbley, Jean Daunizeau, Cheng Soon Ong, Joachim M. Buhmann, Klaas E. Stephan