The macroscopic dynamics in separable neural networks

dc.creatorChen, Yong
dc.creatorWang, Ying Hai
dc.creatorYang, Kong Qing
dc.date2002-09-12
dc.date.accessioned2026-07-25T14:52:09Z
dc.descriptionThe parallel dynamics is given in the case of neural networks with separable coupling through starting from Coolen-Sherrington (CS) theory. It is shown that this retrieve dynamics as is the case of sequential evolution in the postulate of away from saturation and finite temperature. The finite-size effects is governed by a homogeneous Markov process, which differs from the time-dependent Ornstein-Uhlenbeck process in sequential dynamics. PACS number(s): 87.10.+e, 75.10.Nr, 02.50.+s
dc.description5 pages
dc.identifierhttps://arxiv.org/abs/cond-mat/0209279
dc.identifierhttp://arxiv.org/abs/cond-mat/0209279
dc.identifierPublished in Phys. Rev. E 63, 041901(2001)
dc.identifier.urihttps://dspace.dare.co.zw/handle/123456789/29126
dc.subjectDisordered Systems and Neural Networks
dc.titleThe macroscopic dynamics in separable neural networks
dc.typetext

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