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Mufeng Tang
Mufeng Tang
University of Oxford
在 ndcn.ox.ac.uk 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
222023
Predictive coding networks for temporal prediction
B Millidge, M Tang, M Osanlouy, NS Harper, R Bogacz
PLOS Computational Biology 20 (4), e1011183, 2024
132024
Sequential memory with temporal predictive coding
M Tang, H Barron, R Bogacz
Advances in neural information processing systems 36, 2024
92024
Biologically Plausible Training Mechanisms for Self-Supervised Learning in Deep Networks
M Tang, Y Yang, Y Amit
Frontiers in computational neuroscience, 2022 16, 2022
62022
Modeling Recognition Memory with Predictive Coding and Hopfield Networks
T Li, M Tang, R Bogacz
NeurIPS 2023 Associative Memory & Hopfield Networks Workshop, 2023
1*2023
Benchmarking Predictive Coding Networks--Made Simple
L Pinchetti, C Qi, O Lokshyn, G Olivers, C Emde, M Tang, A M'Charrak, ...
arXiv preprint arXiv:2407.01163, 2024
2024
Predictive coding model can detect novelty on different levels of representation hierarchy
TE Li, M Tang, R Bogacz
bioRxiv, 2024.06. 10.597876, 2024
2024
Task success in trained spiking neuronal network models coincides with emergence of cross-stimulus-modulated inhibition
Y Zhu, CMB Smith, M Tang, F Scherr, JN MacLean
bioRxiv, 2023.08. 29.555334, 2023
2023
Associative memory via covariance-learning predictive coding networks
M Tang, T Salvatori, Y Song, B Millidge, T Lukasiewicz, R Bogacz
NeurIPS 2022 Memory in Artificial and Real Intelligence workshop, 2022
2022
Sequential Memory with Temporal Predictive Coding Supplementary Materials
M Tang, H Barron, R Bogacz, W Update
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