High storage capacity in the Hopfield model with auto-interactions—stability analysis
暂无分享,去创建一个
[1] J. J. Hopfield,et al. ‘Unlearning’ has a stabilizing effect in collective memories , 1983, Nature.
[2] Sompolinsky,et al. Storing infinite numbers of patterns in a spin-glass model of neural networks. , 1985, Physical review letters.
[3] D. Saad,et al. The TAP Approach to Intensive and Extensive Connectivity Systems , 2001 .
[4] Extended memory loading capacity of a neutral network model with delayed time interaction , 1992 .
[5] Giancarlo Ruocco,et al. On the Maximum Storage Capacity of the Hopfield Model , 2017, Frontiers Comput. Neurosci..
[6] J J Hopfield,et al. Neurons with graded response have collective computational properties like those of two-state neurons. , 1984, Proceedings of the National Academy of Sciences of the United States of America.
[7] John J. Hopfield,et al. Neural networks and physical systems with emergent collective computational abilities , 1999 .
[8] M. Mézard. Mean-field message-passing equations in the Hopfield model and its generalizations. , 2016, Physical review. E.
[9] J. Knott. The organization of behavior: A neuropsychological theory , 1951 .
[10] Sompolinsky,et al. Spin-glass models of neural networks. , 1985, Physical review. A, General physics.