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Equilibrium Propagation (EP) is a learning algorithm that bridges Machine Learning and Neuroscience, by computing gradients closely matching those of Backpropagation Through Time (BPTT), but with a learning rule local in space.
A learning algorithm for boltzmann machines
D. H. Ackley, G. E. Hinton, and T. J. Sejnowski · 1985
Earlier work this paper cites.
A learning rule for asynchronous perceptrons with feedback in a combinatorial environment
L. B. Almeida · 1987
Earlier work this paper cites.
A learning rule for asynchronous perceptrons with feedback in a combinatorial environment
L. B. Almeida · 1990
Earlier work this paper cites.
Contrastive hebbian learning in the continuous hopfield model
J. R. Movellan · 1991
Earlier work this paper cites.
Synaptic modifications in cultured hippocampal neurons: dependence on spike timing, synaptic strength, and postsynaptic cell type
G.-q. Bi and M.-m. Poo · 1998
Earlier work this paper cites.
Synaptic modification by correlated activity: Hebb’s postulate revisited
G.-q. Bi and M.-m. Poo · 2001
Earlier work this paper cites.
Training products of experts by minimizing contrastive divergence
G. E. Hinton · 2002
Earlier work this paper cites.
Spike timing-dependent plasticity of neural circuits
Y. Dan and M.-m. Poo · 2004
Cited alongside, same era.
Stdp as presynaptic activity times rate of change of postsynaptic activity
Y. Bengio, T. Mesnard, A. Fischer, S. Zhang, and Y. Wu · 2015
Cited alongside, same era.
Deep learning
Y. LeCun, Y. Bengio, and G. Hinton · 2015
Cited alongside, same era.
Random synaptic feedback weights support error backpropagation for deep learning
T. P. Lillicrap, D. Cownden, D. B. Tweed, and C. J. Akerman · 2016
Cited alongside, same era.
Equilibrium propagation: Bridging the gap between energy-based models and backpropagation
B. Scellier and Y. Bengio · 2017
Cited alongside, same era.
Equivalent-accuracy accelerated neural-network training using analogue memory
Introduction to the theory of neural computation
J. A. Hertz · 2018
Later among the works it cites.
Vowel recognition with four coupled spin-torque nano-oscillators
M. Romera, P. Talatchian, S. Tsunegi, F. A. Araujo, V. Cros, P. Bortolotti, J. Trastoy, K. Yakushiji, A. Fukushima, H. Kubota, et al · 2018
Later among the works it cites.
Generalization of equilibrium propagation to vector field dynamics
B. Scellier, A. Goyal, J. Binas, T. Mesnard, and Y. Bengio · 2018
Later among the works it cites.
Updates of equilibrium prop match gradients of backprop through time in an rnn with static input
M. Ernoult, J. Grollier, D. Querlioz, Y. Bengio, and B. Scellier · 2019
Later among the works it cites.
Equivalence of equilibrium propagation and recurrent backpropagation
B. Scellier and Y. Bengio · 2019
Later among the works it cites.
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S. Ambrogio, P. Narayanan, H. Tsai, R. M. Shelby, I. Boybat, C. Nolfo, S. Sidler, M. Giordano, M. Bodini, N. C. Farinha, et al · 2018
Cited alongside, same era.
Generalization of back-propagation to recurrent neural networks
F. J. Pineda
Cited in the paper.
Generalization of back-propagation to recurrent neural networks
F. J. Pineda
Cited in the paper.
E. Strubell, A. Ganesh, and A. McCallum · 2019
Later among the works it cites.