SIGNIFICANCE OF UPDATING SCHEMES IN COMPUTATIONAL MODELS - DYNAMICS OF NEUTRAL NETWORKS

Authors
LIEBOVITCH LS ZOCHOWSKI N
Citation
Ls. Liebovitch et N. Zochowski, SIGNIFICANCE OF UPDATING SCHEMES IN COMPUTATIONAL MODELS - DYNAMICS OF NEUTRAL NETWORKS, Journal of statistical physics, 90(1-2), 1998, pp. 253-260
Citations number
10
Categorie Soggetti
Physycs, Mathematical","Physycs, Mathematical
Journal title
Journal of statistical physics → ACNP
ISSN journal
00224715
Volume
90
Issue
1-2
Year of publication
1998
Pages
253 - 260
Database
ISI
SICI code
0022-4715(1998)90:1-2<253:SOUSIC>2.0.ZU;2-O
Abstract
A Hopfield neural network was constructed with relevance to protein dy namics. The dynamics of this network was analyzed by determining the d istribution of first passage times between memories and its dependence on temperature. The distribution depended on the updating scheme. Thi s illustrates the importance of choosing an updating scheme that leads to physically meaningful results in computational models of dynamic p rocesses, such as in neural networks or molecular dynamics.