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cond-mat.dis-nn2003
The signal-to-noise analysis of the Little-Hopfield model revisited
D. Bolle, J. Busquets Blanco, T. Verbeiren
Using the generating functional analysis an exact recursion relation is derived for the time evolution of the effective local field of the fully connected Little-Hopfield model. It…
cond-mat.dis-nn2003
A spherical Hopfield model
D. Bolle, Th. M. Nieuwenhuizen, I. Perez Castillo +1
We introduce a spherical Hopfield-type neural network involving neurons and patterns that are continuous variables. We study both the thermodynamics and dynamics of this model. In…
cond-mat.dis-nn2003
The Blume-Emery-Griffiths neural network: dynamics for arbitrary temperature
D. Bolle, J. Busquets Blanco, G. M. Shim +1
The parallel dynamics of the fully connected Blume-Emery-Griffiths neural network model is studied for arbitrary temperature. By employing a probabilistic signal-to-noise approach,…