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Joseph Pemberton
Joseph Pemberton
PhD student, University of Birstol
Verified email at bristol.ac.uk
Title
Cited by
Cited by
Year
Single-phase deep learning in cortico-cortical networks
W Greedy, HW Zhu, J Pemberton, J Mellor, RP Costa
Advances in neural information processing systems 35, 2022
222022
Cerebro-cerebellar networks facilitate learning through feedback decoupling
E Boven*, J Pemberton*, P Chadderton, R Apps, RP Costa
Nature Communications 14 (1), 51, 2023
152023
Cortico-cerebellar networks as decoupling neural interfaces
J Pemberton, E Boven, R Apps, R Ponte Costa
Advances in neural information processing systems 34, 7745-7759, 2021
72021
Cerebellar-driven cortical dynamics enable task acquisition, switching and consolidation
J Pemberton, P Chadderton, RP Costa
bioRxiv, 2022.11. 14.516257, 2022
52022
Current state and future directions for learning in biological recurrent neural networks: A perspective piece
RH Eyono, E Boven, A Ghosh, J Pemberton, F Scherr, C Clopath, ...
Neurons, Behavior, Data analysis, and Theory 1, 2022
22022
BP (\lambda): Online Learning via Synthetic Gradients
J Pemberton, RP Costa
arXiv preprint arXiv:2401.07044, 2024
2024
Computational Roles of Cortico-cerebellar Loops in Temporal Credit Assignment
JO Pemberton
University of Bristol, 2023
2023
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Articles 1–7