Local field dynamics in symmetric Q-Ising neural networks

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The time evolution of the local field in symmetric Q-Ising neural networks is studied for arbitrary Q. In particular, the structure of the noise and the appearance of gaps in the probability distribution are discussed. Results are presented for several values of Q and compared with numerical simulations.
11 pages Latex, 6 eps figures

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Disordered Systems and Neural Networks, Statistical Mechanics

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http://salesiana.dossiersoluciones.com/handle/123456789/17863

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/cond-mat/0106242
 http://arxiv.org/abs/cond-mat/0106242

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arXiv