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Christoph Mathys
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2020 – today
- 2024
- [i2]Nicolas Legrand, Lilian Aline Weber, Peter Thestrup Waade, Anna Hedvig Møller Daugaard, Mojtaba Khodadadi, Nace Mikus, Christoph Mathys:
pyhgf: A neural network library for predictive coding. CoRR abs/2410.09206 (2024) - 2023
- [j11]Christoffer Lundbak Olesen
, Peter Thestrup Waade
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) - [i1]Lilian Aline Weber
The generalized Hierarchical Gaussian Filter. CoRR abs/2305.10937 (2023) - 2021
- [j10]Sandra Iglesias
Cholinergic and dopaminergic effects on prediction error and uncertainty responses during sensory associative learning. NeuroImage 226: 117590 (2021) - [c4]Ismail Senöz, Albert Podusenko, Semih Akbayrak, Christoph Mathys
The Switching Hierarchical Gaussian Filter. ISIT 2021: 1373-1378 - [c3]Tore Erdmann, Christoph Mathys:
Rule Learning Through Active Inductive Inference. PKDD/ECML Workshops (1) 2021: 715-725 - [c2]Peter Thestrup Waade
Inferring in Circles: Active Inference in Continuous State Space Using Hierarchical Gaussian Filtering of Sufficient Statistics. PKDD/ECML Workshops (1) 2021: 810-818 - 2020
- [j9]Lara Henco
Aberrant computational mechanisms of social learning and decision-making in schizophrenia and borderline personality disorder. PLoS Comput. Biol. 16(9) (2020) - [c1]Christoph Mathys
Hierarchical Gaussian Filtering of Sufficient Statistic Time Series for Active Inference. IWAI 2020: 52-58
2010 – 2019
- 2019
- [j8]Karl J. Friston
Dynamic causal modelling revisited. NeuroImage 199: 730-744 (2019) - [j7]Francesco Rigoli, Christoph Mathys
Correction: A unifying Bayesian account of contextual effects in value-based choice. PLoS Comput. Biol. 15(10) (2019) - 2018
- [j6]Teresa Katthagen
Modeling subjective relevance in schizophrenia and its relation to aberrant salience. PLoS Comput. Biol. 14(8) (2018) - 2017
- [j5]Francesco Rigoli
A unifying Bayesian account of contextual effects in value-based choice. PLoS Comput. Biol. 13(10) (2017) - 2016
- [j4]M. Berk Mirza
Scene Construction, Visual Foraging, and Active Inference. Frontiers Comput. Neurosci. 10: 56 (2016) - 2014
- [j3]Andreea Oliviana Diaconescu
Inferring on the Intentions of Others by Hierarchical Bayesian Learning. PLoS Comput. Biol. 10(9) (2014) - 2013
- [j2]Kay Henning Brodersen, Jean Daunizeau
Variational Bayesian mixed-effects inference for classification studies. NeuroImage 76: 345-361 (2013) - 2012
- [j1]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)
Coauthor Index
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