Learning action-oriented models through active inference A Tschantz, AK Seth, CL Buckley PLoS computational biology 16 (4), e1007805, 2020 | 117 | 2020 |
Predictive coding approximates backprop along arbitrary computation graphs B Millidge, A Tschantz, CL Buckley Neural Computation 34 (6), 1329-1368, 2022 | 110 | 2022 |
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 | 105 | 2022 |
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 | 99 | 2020 |
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 | 95 | 2021 |
Whence the expected free energy? B Millidge, A Tschantz, CL Buckley Neural Computation 33 (2), 447-482, 2021 | 83 | 2021 |
Reinforcement learning through active inference A Tschantz, B Millidge, AK Seth, CL Buckley arXiv preprint arXiv:2002.12636, 2020 | 79 | 2020 |
Scaling active inference A Tschantz, M Baltieri, AK Seth, CL Buckley 2020 international joint conference on neural networks (ijcnn), 1-8, 2020 | 72 | 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 | 60 | 2022 |
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 | 39 | 2022 |
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 | 35 | 2021 |
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 | 31 | 2020 |
Relaxing the constraints on predictive coding models B Millidge, A Tschantz, A Seth, CL Buckley arXiv preprint arXiv:2010.01047, 2020 | 26 | 2020 |
Designing ecosystems of intelligence from first principles KJ Friston, MJD Ramstead, AB Kiefer, A Tschantz, CL Buckley, ... Collective Intelligence 3 (1), 26339137231222481, 2024 | 25 | 2024 |
Hybrid predictive coding: Inferring, fast and slow A Tscshantz, B Millidge, AK Seth, CL Buckley PLoS Computational Biology 19 (8), e1011280, 2023 | 25 | 2023 |
Neural kalman filtering B Millidge, A Tschantz, A Seth, C Buckley arXiv preprint arXiv:2102.10021, 2021 | 25 | 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 15, 647732, 2021 | 23 | 2021 |
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 | 22 | 2020 |
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 | 14 | 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 | 13 | 2021 |