References#
Christoph D. Mathys, Ekaterina I. Lomakina, Jean Daunizeau, Sandra Iglesias, Kay H. Brodersen, Karl J. Friston, and Klaas E. Stephan. Uncertainty in perception and the hierarchical gaussian filter. Frontiers in Human Neuroscience, 2014. URL: https://www.frontiersin.org/articles/10.3389/fnhum.2014.00825, doi:10.3389/fnhum.2014.00825.
Christoph D. Mathys. A Bayesian foundation for individual learning under uncertainty. Frontiers in Human Neuroscience, 5(May):1–20, 2011. URL: http://journal.frontiersin.org/article/10.3389/fnhum.2011.00039/abstract, doi:10.3389/fnhum.2011.00039.
Stefan Frässle, Eduardo A. Aponte, Saskia Bollmann, Kay H. Brodersen, Cao T. Do, Olivia K. Harrison, Samuel J. Harrison, Jakob Heinzle, Sandra Iglesias, Lars Kasper, Ekaterina I. Lomakina, Christoph Mathys, Matthias Müller-Schrader, Inês Pereira, Frederike H. Petzschner, Sudhir Raman, Dario Schöbi, Birte Toussaint, Lilian A. Weber, Yu Yao, and Klaas E. Stephan. TAPAS: an open-source software package for translational neuromodeling and computational psychiatry. Frontiers in Psychiatry, June 2021. URL: https://doi.org/10.3389/fpsyt.2021.680811, doi:10.3389/fpsyt.2021.680811.
Sandra Iglesias, Lars Kasper, Samuel J. Harrison, Robert Manka, Christoph Mathys, and Klaas E. Stephan. Cholinergic and dopaminergic effects on prediction error and uncertainty responses during sensory associative learning. NeuroImage, 226:117590, February 2021. URL: https://doi.org/10.1016/j.neuroimage.2020.117590, doi:10.1016/j.neuroimage.2020.117590.
Lilian Aline Weber, Peter Thestrup Waade, Nicolas Legrand, Anna Hedvig Møller, Klaas Enno Stephan, and Christoph Mathys. The generalized hierarchical gaussian filter. 2023. arXiv:2305.10937.
Christoph Mathys and Lilian Weber. Hierarchical gaussian filtering of sufficient statistic time series for active inference. In Tim Verbelen, Pablo Lanillos, Christopher L. Buckley, and Cedric De Boom, editors, Active Inference, 52–58. Cham, 2020. Springer International Publishing.
Michael D. Lee and Eric-Jan Wagenmakers. Bayesian Cognitive Modeling. Cambridge University Press, April 2014. URL: https://doi.org/10.1017/cbo9781139087759, doi:10.1017/cbo9781139087759.
Robert C Wilson and Anne GE Collins. Ten simple rules for the computational modeling of behavioral data. eLife, 8:e49547, nov 2019. URL: https://doi.org/10.7554/eLife.49547, doi:10.7554/eLife.49547.
Erdem Pulcu and Michael Browning. Affective bias as a rational response to the statistics of rewards and punishments. eLife, October 2017. URL: http://dx.doi.org/10.7554/eLife.27879, doi:10.7554/elife.27879.
Stefan Pfenninger and Iain Staffell. Long-term patterns of european PV output using 30 years of validated hourly reanalysis and satellite data. Energy, 114:1251–1265, November 2016. URL: https://doi.org/10.1016/j.energy.2016.08.060, doi:10.1016/j.energy.2016.08.060.
Iain Staffell and Stefan Pfenninger. Using bias-corrected reanalysis to simulate current and future wind power output. Energy, 114:1224–1239, November 2016. URL: https://doi.org/10.1016/j.energy.2016.08.068, doi:10.1016/j.energy.2016.08.068.