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We introduce JPC, a JAX library for training neural networks with Predictive Coding.
The free energy principle for action and perception: A mathematical review
C. L. Buckley, C. S. Kim, S. McGregor, and A. K. Seth · 2017
Earlier work this paper cites.
The DeepMind JAX Ecosystem, 2020
DeepMind, I. Babuschkin, K. Baumli, A. Bell, S. Bhupatiraju, J. Bruce, P. Buchlovsky, D. Budden, T. Cai, A. Clark, I. Danihelka, A. Dedieu, C. Fantacci, J. Godwin, C. Jones, R. Hemsley, T. Hennigan, M. Hessel, S. Hou, S. Kapturowski, T. Keck, I. Kemaev, M. King, M. Kunesch, L. Martens, H. Merzic, V. Mikulik, T. Norman, G. Papamakarios, J. Quan, R. Ring, F. Ruiz, A. Sanchez, L. Sartran, R. Schneider, E. Sezener, S. Spencer, S. Srinivasan, M. Stanojević, W. Stokowiec, L. Wang, G. Zhou, and F. Viola · 2020
Earlier work this paper cites.
Equinox: neural networks in jax via callable pytrees and filtered transformations
P. Kidger and C. Garcia · 2021
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Predictive coding: a theoretical and experimental review
B. Millidge, A. Seth, and C. L. Buckley · 2021
Earlier work this paper cites.
On neural differential equations
P. Kidger · 2022
Earlier work this paper cites.
Predictive coding: towards a future of deep learning beyond backpropagation?
B. Millidge, T. Salvatori, Y. Song, R. Bogacz, and T. Lukasiewicz · 2022
Cited alongside, same era.
On the relationship between predictive coding and backpropagation
R. Rosenbaum · 2022
Cited alongside, same era.
Brain-inspired computational intelligence via predictive coding
T. Salvatori, A. Mali, C. L. Buckley, T. Lukasiewicz, R. P. Rao, K. Friston, and A. Ororbia · 2023
Cited alongside, same era.
Hybrid predictive coding: Inferring, fast and slow
A. Tscshantz, B. Millidge, A. K. Seth, and C. L. Buckley · 2023
Cited alongside, same era.
Sample as you infer: Predictive coding with langevin dynamics
U. Zahid, Q. Guo, and Z. Fountas · 2023
Cited alongside, same era.
Only strict saddles in the energy landscape of predictive coding networks?
F. Innocenti, E. M. Achour, R. Singh, and C. L. Buckley · 2024
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pyhgf: A neural network library for predictive coding
N. Legrand, L. Weber, P. T. Waade, A. H. M. Daugaard, M. Khodadadi, N. Mikuš, and C. Mathys · 2024
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Learning probability distributions of sensory inputs with monte carlo predictive coding
G. Oliviers, R. Bogacz, and A. Meulemans · 2024
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Benchmarking predictive coding networks–made simple
L. Pinchetti, C. Qi, O. Lokshyn, G. Olivers, C. Emde, M. Tang, A. M’Charrak, S. Frieder, B. Menzat, R. Bogacz, et al · 2024
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Predictive coding networks and inference learning: Tutorial and survey
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B. van Zwol, R. Jefferson, and E. L. Broek · 2024
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