Macroscopic dynamics in separable neural networks.

C Yong; W Yinghai; Y Kongqing

doi:10.1103/physreve.63.041901

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Macroscopic dynamics in separable neural networks.

C Yong·W Yinghai·Y Kongqing

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Abstract

Parallel dynamics of neural networks with separable coupling is given starting from Coolen-Sherrington theory. Away from saturation, it is shown that this parallel retrieve dynamics is equivalent to the sequential dynamics for finite temperature. But the finite-size effects were found to be governed by a homogeneous Markov process, not by a time-dependent Ornstein-Uhlenbeck process in sequential dynamics.

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Biophysics Markov Chains Models, Statistical Nerve Net Stochastic Processes Temperature Time Factors Journal Article

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C Yong, W Yinghai, Y Kongqing. 2001-03-16. Macroscopic dynamics in separable neural networks.. https://doi.org/10.1103/physreve.63.041901

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