Mufeng Tang

-Science and Research-

A list of my publications and conference talks.

Publications/Preprints

^†: Equal contribution

Tang M, Barron H, Bogacz R. "Learning grid cells by predictive coding." ArXiv, 2024.

Ed L.T., Tang M, Bogacz R. "Predictive coding model can detect novelty on different levels of representation hierarchy." BioRxiv, 2024.

Pinchetti L, Qi C, Lokshyn O, Olivers G, Emde C, Tang M, M'Charrak A, Frieder S, Menzat B, Bogacz R, Lukasiewicz T, Salvatori T. "Benchmarking predictive coding networks—made simple." ArXiv, 2024.

Millidge B^†, Tang M^†, Osanlouy M, Bogacz R. "Predictive coding networks for temporal prediction." PLOS Computational Biology, 2024.

Tang M, Barron H, Bogacz R. "Sequential memory with temporal predictive coding." Advances in Neural Information Processing Systems 37 (NeurIPS 2023).

Li T, Tang M, Bogacz R. "Modeling Recognition Memory with Predictive Coding and Hopfield Networks." Associative Memory & Hopfield Networks Workshop, NeurIPS 2023.

Zhu Y, Smith C.M., Tang M, Scherr F, MacLean, J.N., 2023. "Task success in trained spiking neuronal network models coincides with emergence of cross-stimulus-modulated inhibition." bioRxiv, 2023.

Tang M, Salvatori T, Millidge B, Song Y, Lukasiewicz T, Bogacz R. "Recurrent predictive coding models for associative memory employing covariance learning." PLOS Computational Biology, 2023.

Tang M, Salvatori T, Millidge B, Song Y, Lukasiewicz T, Bogacz R. "Associative Memory via Covariance-learning Predictive Coding Networks." Memory in Artificial and Real Intelligence Workshop, NeurIPS 2022.

Tang M^†, Yang Y^†, Amit Y. "Biologically plausible training mechanisms for self-supervised learning in deep networks." Frontiers in Computational Neuroscience, 2022.

Refereed conference abstracts

Oliviers G^†, Tang M^†, and Bogacz R, 2023. “Bidirectional predictive coding” In: Cognitive Computational Neuroscience (CCN), 2024.

Millidge B^†, Tang M^†, Osanlouy M, and Bogacz R, 2023. “Predictive coding networks for temporal prediction.” In: Cognitive Computational Neuroscience (CCN), 2023. Oral Presentation

Li T, Tang M, and Bogacz R, 2023. “Modelling novelty detection in the cortex with predictive coding”. In: Cognitive Computational Neuroscience (CCN), 2023.