Biologically Plausible Training Mechanisms for Self-Supervised Learning in Deep Networks. - Mufeng Tang; Yibo Yang; Yali Amit (Frontiers Comput. Neurosci., 2022)

Sequential Memory with Temporal Predictive Coding. - Mufeng Tang; Helen Barron; Rafal Bogacz (NeurIPS, 2023)

Recurrent predictive coding models for associative memory employing covariance learning. - Mufeng Tang; Tommaso Salvatori; Beren Millidge; Yuhang Song 001; Thomas Lukasiewicz; Rafal Bogacz (PLoS Comput. Biol., 2023)

Benchmarking Predictive Coding Networks - Made Simple. - Luca Pinchetti; Chang Qi; Oleh Lokshyn; Gaspard Olivers; Cornelius Emde; Mufeng Tang; Amine M'Charrak; Simon Frieder; Bayar Menzat; Rafal Bogacz; Thomas Lukasiewicz; Tommaso Salvatori (CoRR, 2024)

Predictive coding networks for temporal prediction. - Beren Millidge; Mufeng Tang; Mahyar Osanlouy; Nicol S. Harper; Rafal Bogacz (PLoS Comput. Biol., 2024)

Benchmarking Predictive Coding Networks - Made Simple. - Luca Pinchetti; Chang Qi; Oleh Lokshyn; Cornelius Emde; Amine M'Charrak; Mufeng Tang; Simon Frieder; Bayar Menzat; Gaspard Oliviers; Rafal Bogacz; Thomas Lukasiewicz; Tommaso Salvatori (ICLR, 2025)

Predictive Coding Model Detects Novelty on Different Levels of Representation Hierarchy. - T. Ed Li; Mufeng Tang; Rafal Bogacz (Neural Comput., 2025)

Neural Associative Skill Memories for safer robotics and modelling human sensorimotor repertoires. - Pranav Mahajan; Mufeng Tang; T. Ed Li; Ioannis Havoutis; Ben Seymour (CoRR, 2025)

Bidirectional predictive coding. - Gaspard Oliviers; Mufeng Tang; Rafal Bogacz (CoRR, 2025)