| Predictive coding: a theoretical and experimental review B Millidge, A Seth, CL Buckley arXiv preprint arXiv:2107.12979, 2021 | 189 | 2021 |
| Predictive coding approximates backprop along arbitrary computation graphs B Millidge, A Tschantz, CL Buckley Neural Computation 34 (6), 1329-1368, 2022 | 141 | 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 | 125 | 2021 |
| Deep active inference as variational policy gradients B Millidge Journal of Mathematical Psychology 96, 102348, 2020 | 121 | 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 | 117 | 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 | 107 | 2020 |
| On Bayesian mechanics: a physics of and by beliefs MJD Ramstead, DAR Sakthivadivel, C Heins, M Koudahl, B Millidge, ... Interface Focus 13 (3), 20220029, 2023 | 91 | 2023 |
| Whence the expected free energy? B Millidge, A Tschantz, CL Buckley Neural Computation 33 (2), 447-482, 2021 | 90 | 2021 |
| Reinforcement learning through active inference A Tschantz, B Millidge, AK Seth, CL Buckley arXiv preprint arXiv:2002.12636, 2020 | 87 | 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 | 62 | 2022 |
| Universal hopfield networks: A general framework for single-shot associative memory models B Millidge, T Salvatori, Y Song, T Lukasiewicz, R Bogacz International Conference on Machine Learning, 15561-15583, 2022 | 60 | 2022 |
| Inferring neural activity before plasticity as a foundation for learning beyond backpropagation Y Song, B Millidge, T Salvatori, T Lukasiewicz, Z Xu, R Bogacz Nature neuroscience 27 (2), 348-358, 2024 | 49 | 2024 |
| Predictive coding: Towards a future of deep learning beyond backpropagation? B Millidge, T Salvatori, Y Song, R Bogacz, T Lukasiewicz arXiv preprint arXiv:2202.09467, 2022 | 45 | 2022 |
| Hybrid predictive coding: Inferring, fast and slow A Tscshantz, B Millidge, AK Seth, CL Buckley PLoS Computational Biology 19 (8), e1011280, 2023 | 39 | 2023 |
| Designing ecosystems of intelligence from first principles KJ Friston, MJD Ramstead, AB Kiefer, A Tschantz, CL Buckley, ... Collective Intelligence 3 (1), 26339137231222481, 2024 | 38 | 2024 |
| 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 | 35 | 2020 |
| Learning on arbitrary graph topologies via predictive coding T Salvatori, L Pinchetti, B Millidge, Y Song, T Bao, R Bogacz, ... Advances in neural information processing systems 35, 38232-38244, 2022 | 33 | 2022 |
| Recurrent predictive coding models for associative memory employing covariance learning M Tang, T Salvatori, B Millidge, Y Song, T Lukasiewicz, R Bogacz PLoS computational biology 19 (4), e1010719, 2023 | 27 | 2023 |
| Neural kalman filtering B Millidge, A Tschantz, A Seth, C Buckley arXiv preprint arXiv:2102.10021, 2021 | 27 | 2021 |
| Relaxing the constraints on predictive coding models B Millidge, A Tschantz, A Seth, CL Buckley arXiv preprint arXiv:2010.01047, 2020 | 27 | 2020 |
Christopher L. BuckleyUniversity of SussexEmail verificata su sussex.ac.uk