The Anatomy of Inference: Generative Models and Brain Structure. - Thomas Parr; Karl J. Friston (Frontiers Comput. Neurosci., 2018)

The Discrete and Continuous Brain: From Decisions to Movement - And Back Again. - Thomas Parr; Karl J. Friston (Neural Comput., 2018)

Disorders of Artificial Awareness. - Thomas Parr; Danijar Hafner; Karl J. Friston (AAAI Spring Symposium: Towards Conscious AI Systems, 2019)

Generalised free energy and active inference. - Thomas Parr; Karl J. Friston (Biol. Cybern., 2019)

Impulsivity and Active Inference. - M. Berk Mirza; Rick A. Adams; Thomas Parr; Karl J. Friston (J. Cogn. Neurosci., 2019)

Bayesian Filtering with Multiple Internal Models: Toward a Theory of Social Intelligence. - Takuya Isomura; Thomas Parr; Karl J. Friston (Neural Comput., 2019)

Thalamocortical dynamics underlying spontaneous transitions in beta power in Parkinsonism. - Carolina Reis; Andrew Sharott; Peter J. Magill; Bernadette C. M. van Wijk; Thomas Parr; Peter Zeidman; Karl J. Friston; Hayriye Cagnan (NeuroImage, 2019)

With an eye on uncertainty: Modelling pupillary responses to environmental volatility. - Peter Vincent; Thomas Parr; David Benrimoh; Karl J. Friston (PLoS Comput. Biol., 2019)

Action and Perception as Divergence Minimization. - Danijar Hafner; Pedro A. Ortega; Jimmy Ba; Thomas Parr; Karl J. Friston; Nicolas Heess (CoRR, 2020)

The relationship between dynamic programming and active inference: the discrete, finite-horizon case. - Lancelot Da Costa; Noor Sajid; Thomas Parr; Karl J. Friston; Ryan Smith (CoRR, 2020)

Inferring What to Do (And What Not to). - Thomas Parr (Entropy, 2020)

Modules or Mean-Fields? - Thomas Parr; Noor Sajid; Karl J. Friston (Entropy, 2020)

An Investigation of the Free Energy Principle for Emotion Recognition. - Daphne Demekas; Thomas Parr; Karl J. Friston (Frontiers Comput. Neurosci., 2020)

An Active Inference Approach to Modeling Structure Learning: Concept Learning as an Example Case. - Ryan Smith; Philipp Schwartenbeck; Thomas Parr; Karl J. Friston (Frontiers Comput. Neurosci., 2020)

A Bayesian Account of Generalist and Specialist Formation Under the Active Inference Framework. - Anthony G. Chen; David Benrimoh; Thomas Parr; Karl J. Friston (Frontiers Artif. Intell., 2020)

Deep Active Inference and Scene Construction. - Conor Heins; M. Berk Mirza; Thomas Parr; Karl J. Friston; Igor Kagan; Arezoo Pooresmaeili (Frontiers Artif. Intell., 2020)

Active inference, Bayesian optimal design, and expected utility. - Noor Sajid; Lancelot Da Costa; Thomas Parr; Karl J. Friston (CoRR, 2021)

Neural Dynamics under Active Inference: Plausibility and Efficiency of Information Processing. - Lancelot Da Costa; Thomas Parr; Biswa Sengupta; Karl J. Friston (Entropy, 2021)

Some Interesting Observations on the Free Energy Principle. - Karl J. Friston; Lancelot Da Costa; Thomas Parr (Entropy, 2021)

Stochastic Chaos and Markov Blankets. - Karl J. Friston; Conor Heins; Kai Ueltzhöffer; Lancelot Da Costa; Thomas Parr (Entropy, 2021)

Message Passing and Metabolism. - Thomas Parr (Entropy, 2021)

Memory and Markov Blankets. - Thomas Parr; Lancelot Da Costa; Conor Heins; Maxwell James D. Ramstead; Karl J. Friston (Entropy, 2021)

Generative Models for Active Vision. - Thomas Parr; Noor Sajid; Lancelot Da Costa; M. Berk Mirza; Karl J. Friston (Frontiers Neurorobotics, 2021)

Editorial: Probabilistic Perspectives on Brain (Dys)function. - Thomas Parr; Dimitrije Markovic; Maxwell James D. Ramstead; Ryan Smith; Casper Hesp; Karl J. Friston (Frontiers Artif. Intell., 2021)

Sophisticated Inference. - Karl J. Friston; Lancelot Da Costa; Danijar Hafner; Casper Hesp; Thomas Parr (Neural Comput., 2021)

Deeply Felt Affect: The Emergence of Valence in Deep Active Inference. - Casper Hesp; Ryan Smith; Thomas Parr; Micah Allen; Karl J. Friston; Maxwell James D. Ramstead (Neural Comput., 2021)

Active Inference: Demystified and Compared. - Noor Sajid; Philip J. Ball; Thomas Parr; Karl J. Friston (Neural Comput., 2021)

Bayesian Brains and the Rényi Divergence. - Noor Sajid; Francesco Faccio; Lancelot Da Costa; Thomas Parr; Jürgen Schmidhuber; Karl J. Friston (Neural Comput., 2022)

Reclaiming saliency: Rhythmic precision-modulated action and perception. - Ajith Anil Meera; Filip Novicky; Thomas Parr; Karl J. Friston; Pablo Lanillos; Noor Sajid (Frontiers Neurorobotics, 2022)

In the Body's Eye: The computational anatomy of interoceptive inference. - Micah Allen; Andrew Levy; Thomas Parr; Karl J. Friston (PLoS Comput. Biol., 2022)

Supervised structure learning. - Karl J. Friston; Lancelot Da Costa; Alexander Tschantz; Alex B. Kiefer; Tommaso Salvatori; Victorita Neacsu; Magnus T. Koudahl; Conor Heins; Noor Sajid; Dimitrije Markovic; Thomas Parr; Tim Verbelen; et al. (CoRR, 2023)

Active Inference and Intentional Behaviour. - Karl J. Friston; Tommaso Salvatori; Takuya Isomura; Alexander Tschantz; Alex B. Kiefer; Tim Verbelen; Magnus T. Koudahl; Aswin Paul; Thomas Parr; Adeel Razi; Brett J. Kagan; Christopher L. Buckley; et al. (CoRR, 2023)

Reward Maximization Through Discrete Active Inference. - Lancelot Da Costa; Noor Sajid; Thomas Parr; Karl J. Friston; Ryan Smith (Neural Comput., 2023)

A Variational Synthesis of Evolutionary and Developmental Dynamics. - Karl J. Friston; Daniel Ari Friedman; Axel Constant; V. Bleu Knight; Chris Fields 001; Thomas Parr; John O. Campbell (Entropy, 2023)

A primer on Variational Laplace (VL). - Peter Zeidman; Karl J. Friston; Thomas Parr (NeuroImage, 2023)

From pixels to planning: scale-free active inference. - Karl J. Friston; Conor Heins; Tim Verbelen; Lancelot Da Costa; Tommaso Salvatori; Dimitrije Markovic; Alexander Tschantz; Magnus T. Koudahl; Christopher Buckley 001; Thomas Parr (CoRR, 2024)

Active Data Selection and Information Seeking. - Thomas Parr; Karl J. Friston; Peter Zeidman (Algorithms, 2024)

The Many Roles of Precision in Action. - Jakub Limanowski; Rick A. Adams; James Kilner; Thomas Parr (Entropy, 2024)

Active Inference and Intentional Behavior. - Karl J. Friston; Tommaso Salvatori; Takuya Isomura; Alexander Tschantz; Alex B. Kiefer; Tim Verbelen; Magnus T. Koudahl; Aswin Paul; Thomas Parr; Adeel Razi; Brett J. Kagan; Christopher L. Buckley; et al. (Neural Comput., 2025)

SPM 25: open source neuroimaging analysis software. - Tim M. Tierney; Nicholas Alexander; John Ashburner; Nicole Labra Avila; Yaël Balbastre; Gareth R. Barnes; Yulia Bezsudnova; Mikael Brudfors; Korbinian Eckstein; Guillaume Flandin; Karl J. Friston; Amirhossein Jafarian; et al. (J. Open Source Softw., 2025)