The authors investigate the parallel dynamics of the neural network with the pseudoinverse coupling matrix. Based on an exact dynamic theory they develop an approximate treatment for long timescales. The temporal development of the overlap, of correlation functions and of the remanent magnetization are investigated. They present results for deterministic and stochastic dynamics. Large-scale numerical simulations supplement their analytical findings.
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Henkel et al. (1991) studied this question.
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