| Learning action-oriented models through active inference A Tschantz, AK Seth, CL Buckley PLoS computational biology 16 (4), e1007805, 2020 | 94 | 2020 |
| Predictive coding approximates backprop along arbitrary computation graphs B Millidge, A Tschantz, CL Buckley Neural Computation 34 (6), 1329-1368, 2022 | 71 | 2022 |
| Scaling active inference A Tschantz, M Baltieri, AK Seth, CL Buckley 2020 international joint conference on neural networks (ijcnn), 1-8, 2020 | 57 | 2020 |
| Reinforcement learning through active inference A Tschantz, B Millidge, AK Seth, CL Buckley arXiv preprint arXiv:2002.12636, 2020 | 56 | 2020 |
| How particular is the physics of the free energy principle? M Aguilera, B Millidge, A Tschantz, CL Buckley Physics of Life Reviews 40, 24-50, 2022 | 55 | 2022 |
| Whence the expected free energy? B Millidge, A Tschantz, CL Buckley Neural Computation 33 (2), 447-482, 2021 | 55 | 2021 |
| On the relationship between active inference and control as inference B Millidge, A Tschantz, AK Seth, CL Buckley Active Inference: First International Workshop, IWAI 2020, Co-located with …, 2020 | 45 | 2020 |
| Sophisticated affective inference: simulating anticipatory affective dynamics of imagining future events C Hesp, A Tschantz, B Millidge, M Ramstead, K Friston, R Smith Active Inference: First International Workshop, IWAI 2020, Co-located with …, 2020 | 28 | 2020 |
| Simulating homeostatic, allostatic and goal-directed forms of interoceptive control using active inference A Tschantz, L Barca, D Maisto, CL Buckley, AK Seth, G Pezzulo Biological Psychology 169, 108266, 2022 | 26 | 2022 |
| Active inference in robotics and artificial agents: Survey and challenges P Lanillos, C Meo, C Pezzato, AA Meera, M Baioumy, W Ohata, ... arXiv preprint arXiv:2112.01871, 2021 | 26 | 2021 |
| Neural and phenotypic representation under the free-energy principle MJD Ramstead, C Hesp, A Tschantz, R Smith, A Constant, K Friston Neuroscience & Biobehavioral Reviews 120, 109-122, 2021 | 20 | 2021 |
| Relaxing the constraints on predictive coding models B Millidge, A Tschantz, A Seth, CL Buckley arXiv preprint arXiv:2010.01047, 2020 | 19 | 2020 |
| Curious inferences: Reply to sun and firestone on the dark room problem AK Seth, B Millidge, CL Buckley, A Tschantz Trends in Cognitive Sciences 24 (9), 681-683, 2020 | 18 | 2020 |
| pymdp: A Python library for active inference in discrete state spaces C Heins, B Millidge, D Demekas, B Klein, K Friston, I Couzin, A Tschantz arXiv preprint arXiv:2201.03904, 2022 | 15 | 2022 |
| Neural kalman filtering B Millidge, A Tschantz, A Seth, C Buckley arXiv preprint arXiv:2102.10021, 2021 | 15 | 2021 |
| Activation relaxation: A local dynamical approximation to backpropagation in the brain B Millidge, A Tschantz, AK Seth, CL Buckley arXiv preprint arXiv:2009.05359, 2020 | 13 | 2020 |
| The acquisition of culturally patterned attention styles under active inference A Constant, ADD Tschantz, B Millidge, F Criado-Boado, LM Martinez, ... Frontiers in neurorobotics 15, 729665, 2021 | 8 | 2021 |
| Understanding the origin of information-seeking exploration in probabilistic objectives for control B Millidge, A Seth, C Buckley arXiv preprint arXiv:2103.06859, 2021 | 8 | 2021 |
| Active Inferants: An Active Inference Framework for Ant Colony Behavior DA Friedman, A Tschantz, MJD Ramstead, K Friston, A Constant Frontiers in behavioral neuroscience, 126, 2021 | 8 | 2021 |
| Hybrid predictive coding: Inferring, fast and slow A Tschantz, B Millidge, AK Seth, CL Buckley arXiv preprint arXiv:2204.02169, 2022 | 7 | 2022 |
