The macroscopic dynamics in separable neural networks

Details The macroscopic dynamics in separable neural networks The macroscopic dynamics in separable neural networks

2002-09-12

arxiv.org/abs/cond-mat/0209279v1

Published in Phys. Rev. E 63, 041901(2001)

Physics

Condensed Matter

Disordered Systems and Neural Networks

5 pages

Scientific paper

The 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

Affiliated with

Also associated with

No associations

Rating

The macroscopic dynamics in separable neural networks does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with The macroscopic dynamics in separable neural networks, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and The macroscopic dynamics in separable neural networks will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-592002