An almost sure large deviation principle for the Hopfield model

We prove a large deviation principle for the finite-dimensional marginals of the Gibbs distribution of the macroscopic overlap parameters in the Hopfield model in the case where the number of random patterns M, as a function of the system size N, satisfies lim sup M(N)/N = 0. In this case, the rate function is independent of the disorder for almost all realizations of the patterns.

[1]  J J Hopfield,et al.  Neural networks and physical systems with emergent collective computational abilities. , 1982, Proceedings of the National Academy of Sciences of the United States of America.

[2]  L. Pastur,et al.  The replica-symmetric solution without replica trick for the Hopfield model , 1994 .

[3]  J. Kuelbs Probability on Banach spaces , 1978 .

[4]  V. Gayrard,et al.  Large deviation principles for the Hopfield model and the Kac-Hopfield model , 1995 .

[5]  H. Koch A free energy bound for the Hopfield model , 1993 .

[6]  D. Amit,et al.  Statistical mechanics of neural networks near saturation , 1987 .

[7]  V. Gayrard,et al.  Rigorous results on the thermodynamics of the dilute Hopfield model , 1993 .

[8]  R. Ellis,et al.  Entropy, large deviations, and statistical mechanics , 1985 .

[9]  T. Morita,et al.  Exactly solvable model of a spin glass , 1976 .

[10]  A. Bovier,et al.  Gibbs states of the Hopfield model in the regime of perfect memory , 1994 .

[11]  H. Koch,et al.  Some rigorous results on the Hopfield neural network model , 1989 .

[12]  Véronique Gayrard,et al.  Thermodynamic limit of theq-state Potts-Hopfield model with infinitely many patterns , 1992 .

[13]  Anton Bovier SELF-AVERAGING IN A CLASS OF GENERALIZED HOPFIELD MODELS , 1994 .

[14]  A. Bovier,et al.  Gibbs states of the Hopfield model with extensively many patterns , 1995 .

[15]  Giorgio Parisi Complexity in Biology: The Point of View of a Physicist , 1994 .

[16]  Alexander Figotin,et al.  Theory of disordered spin systems , 1978 .

[17]  丸山 徹 Convex Analysisの二,三の進展について , 1977 .

[18]  V. V. Yurinskii Exponential inequalities for sums of random vectors , 1976 .

[19]  Charles M. Newman,et al.  Memory capacity in neural network models: Rigorous lower bounds , 1988, Neural Networks.

[20]  Brunello Tirozzi,et al.  The free energy of a class of Hopfield models , 1993 .

[21]  A. Dembo,et al.  Large Deviation Techniques and Applications. , 1994 .