Asymptotic description of stochastic neural networks. I. Existence of a large deviation principle
暂无分享,去创建一个
[1] Sommers,et al. Chaos in random neural networks. , 1988, Physical review letters.
[2] Daniel W. Stroock,et al. Microcanonical distributions for lattice gases , 1991 .
[3] Alice Guionnet. Dynamique de Langevin d'un verre de spins , 1995 .
[4] B. Cessac. Increase in Complexity in Random Neural Networks , 1995 .
[5] Alain-Sol Sznitman,et al. A law of large numbers for random walks in random environment , 1999 .
[6] Olivier Moynot. Etude mathematique de la dynamique des reseaux neuronaux aleatoires recurrents , 2000 .
[7] Firas Rassoul-Agha. The point of view of the particle on the law of large numbers for random walks in a mixing random environment , 2002 .
[8] M. Samuelides,et al. Large deviations and mean-field theory for asymmetric random recurrent neural networks , 2002 .
[9] M. Samuelides,et al. Random recurrent neural networks dynamics , 2006, math-ph/0612022.
[10] Bruno Cessac,et al. From neuron to neural networks dynamics , 2006, ArXiv.
[11] Olivier Faugeras,et al. Asymptotic description of stochastic neural networks. II - Characterization of the limit law , 2014 .