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Diluted neural networks with adapting and correlated synapses.

作者信息

Mannarelli M, Nardulli G, Stramaglia S

机构信息

Center of Innovative Technologies for Signal Detection and Processing, Dipartimento di Fisica dell'Università di Bari and INFN, Sezione di Bari, via Amendola 173, 70126 Bari, Italy.

出版信息

Phys Rev E Stat Nonlin Soft Matter Phys. 2001 Nov;64(5 Pt 1):052904. doi: 10.1103/PhysRevE.64.052904. Epub 2001 Oct 26.

DOI:10.1103/PhysRevE.64.052904
PMID:11735995
Abstract

We consider the dynamics of diluted neural networks with clipped and adapting synapses. Unlike previous studies, the learning rate is kept constant as the connectivity tends to infinity: the synapses evolve on a time scale intermediate between the quenched and annealing limits and all orders of synaptic correlations must be taken into account. The dynamics is solved by mean-field theory, the order parameter for synapses being a function. We describe the effects, in the double dynamics, due to synaptic correlations.

摘要

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