activity
20022005
most citedThe signal-to-noise analysis of the Little-Hopfield model revisited

15 citations · 35 across the 6 of their papers we have counts for

collaborators

6 papers

cond-mat.dis-nn2005★ 6 cited

On metastable configurations of small-world networks

R. Heylen, N. S. Skantzos, J. Busquets Blanco +1

We calculate the number of metastable configurations of Ising small-world networks which are constructed upon superimposing sparse Poisson random graphs onto a one-dimensional chai…

cond-mat.dis-nn2005

The synchronous BEG neural network with variable dilution

D. Bollé, J. Busquets Blanco

The thermodynamic and retrieval properties of the Blume-Emery-Griffiths neural network with synchronous updating and variable dilution are studied using replica mean-field theory.…

cond-mat.dis-nn2004

Two-cycles in spin systems: multi-state Ising-type ferromagnets

D. Bollé, J. Busquets Blanco

Hamiltonians for general multi-state spin-glass systems with Ising symmetry are derived for both sequential and synchronous updating of the spins. The possibly different behaviour…

cond-mat.dis-nn2003★ 15 cited

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★ 5 cited

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,…

cond-mat.dis-nn2002★ 9 cited

Parallel dynamics of the fully connected Blume-Emery-Griffiths neural network

D. Bolle, J. Busquets Blanco, G. M. Shim

The parallel dynamics of the fully connected Blume-Emery-Griffiths neural network model is studied at zero temperature for arbitrary using a probabilistic approach. A recursive sch…