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We present an algorithm to store binary memories in a Hopfield neural network using minimum probability flow, a recent technique to fit parameters in energy-based probabilistic models.
E. Ising, “Beitrag zur Theorie des Ferromagnetismus,” Zeitschrift fur Physik , vol. 31, pp. 253–258, Feb. 1925
1925
Earlier work this paper cites.
F. Rosenblatt, “The perceptron: a perceiving and recognizing automation (projet para), cornell aeronautical laboratory report,” 1957
1957
Earlier work this paper cites.
T. Cover, “Geometrical and statistical properties of systems of linear inequalities with applications in pattern recognition,” Electronic Computers, IEEE Transactions on , no. 3, pp. 326–334, 1965
1965
Earlier work this paper cites.
W. Little, “The existence of persistent states in the brain,” Mathematical Biosciences , vol. 19, no. 1, pp. 101–120, 1974
1974
Earlier work this paper cites.
J. Nocedal, “Updating quasi-newton matrices with limited storage,” Mathematics of computation , vol. 35, no. 151, pp. 773–782, 1980
1980
Earlier work this paper cites.
J. Hopfield, “Neural networks and physical systems with emergent collective computational abilities,” Proceedings of the National Academy of Sciences of the United States of America , vol. 79, no. 8, p. 2554, 1982
1982
Earlier work this paper cites.
M. Cohen and S. Grossberg, “Absolute stability of global pattern formation and parallel memory storage by competitive neural networks.” IEEE Transactions on Systems, Man, & Cybernetics , 1983
1983
Cited alongside, same era.
G. Weisbuch and F. Fogelman-Soulié, “Scaling laws for the attractors of Hopfield networks,” Journal de Physique Lettres , vol. 46, no. 14, pp. 623–630, 1985
1985
Cited alongside, same era.
G. Hinton and T. Sejnowski, “Learning and relearning in boltzmann machines,” Parallel distributed processing: Explorations in the microstructure of cognition , vol. 1, pp. 282–317, 1986
1986
Cited alongside, same era.
L. Personnaz, I. Guyon, and G. Dreyfus, “Collective computational properties of neural networks: New learning mechanisms,” Physical Review A , vol. 34, no. 5, p. 4217, 1986
1986
Cited alongside, same era.
I. Kanter and H. Sompolinsky, “Associative recall of memory without errors,” Physical Review A , vol. 35, no. 1, p. 380, 1987
1987
Later among the works it cites.
M. Minsky and S. Papert, Perceptrons . MIT press, 1988
1988
Later among the works it cites.
J. Hertz, A. Krogh, and R. Palmer, Introduction to the theory of neural computation . Westview press, 1991, vol. 1
1991
Later among the works it cites.
M. Jinwen, “The asymmetric hopfield model for associative memory,” in Neural Networks, 1993. IJCNN’93-Nagoya. Proceedings of 1993 International Joint Conference on , vol. 3. IEEE, 1993, pp. 2611–2614
1993
Later among the works it cites.
F. Sommer and P. Dayan, “Bayesian retrieval in associative memories with storage errors,” Neural Networks, IEEE Transactions on , vol. 9, no. 4, pp. 705–713, 1998
1998
Later among the works it cites.
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R. McEliece, E. Posner, E. Rodemich, and S. Venkatesh, “The capacity of the Hopfield associative memory,” Information Theory, IEEE Transactions on , vol. 33, no. 4, pp. 461–482, 1987
1987
Cited alongside, same era.
D. Amit, H. Gutfreund, and H. Sompolinsky, “Statistical mechanics of neural networks near saturation,” Annals of Physics , vol. 173, no. 1, pp. 30–67, 1987
1987
Cited alongside, same era.
C. Hillar and N. Tran, “Robust exponential memory in Hopfield networks,” ArXiv e-prints
Cited in the paper.
J. Sohl-Dickstein, P. B. Battaglino, and M. R. DeWeese, “New method for parameter estimation in probabilistic models: minimum probability flow,” Physical review letters , vol. 107, no. 22, p. 220601, 2011
2011
Later among the works it cites.