• Sajid N; Faccio F; Da Costa L; Parr T; Schmidhuber J; Friston K (2022) Bayesian Brains and the Rényi Divergence. Neural Computation, 1-27 DOI: 10.1162/neco_a_01484
• Esteves JE; Cerritelli F; Kim J; Friston KJ (2022) Osteopathic Care as (En)active Inference: A Theoretical Framework for Developing an Integrative Hypothesis in Osteopathy Frontiers in Psychology, 13 DOI: 10.3389/fpsyg.2022.812926
• McParlin Z; Cerritelli F; Friston KJ; Esteves JE (2022) Therapeutic Alliance as Active Inference: The Role of Therapeutic Touch and Synchrony Frontiers in Psychology, 13 DOI: 10.3389/fpsyg.2022.783694
• Pezzulo G; Parr T; Friston K (2022) The evolution of brain architectures for predictive coding and active inference Philosophical Transactions of the Royal Society B: Biological Sciences, 377 (1844) DOI: 10.1098/rstb.2020.0531
• Li T; Zheng Y; Wang Z; Zhu DC; Ren J; Liu TS; Friston K (2022) Brain information processing capacity modeling Scientific Reports, 12 (1) DOI: 10.1038/s41598-022-05870-z
• Neacsu V; Convertino L; Friston KJ (2022) Synthetic Spatial Foraging With Active Inference in a Geocaching Task Frontiers in Neuroscience, 16 DOI: 10.3389/fnins.2022.802396
• Friston K; Costa LD; Sajid N; Heins C; Ueltzhöffer K; Pavliotis GA; Parr T (2022) The free energy principle made simpler but not too simple
• Isomura T; Shimazaki H; Friston KJ (2022) Canonical neural networks perform active inference Communications Biology, 5 (1) DOI: 10.1038/s42003-021-02994-2
• Yang X; Wang S; Xing Y; Li L; Xu RYD; Friston KJ; Guo Y (2022) Bayesian data assimilation for estimating instantaneous reproduction numbers during epidemics: Applications to COVID-19 PLoS Computational Biology, 18 (2) DOI: 10.1371/journal.pcbi.1009807
• Fagerholm ED; Foulkes WMC; Gallero-Salas Y; Helmchen F; Moran RJ; Friston KJ; Leech R (2022) Estimating anisotropy directly via neural timeseries Journal of Computational Neuroscience DOI: 10.1007/s10827-021-00810-8