Statistical Neurodynamics for Sequence Processing Neural Networks with Finite Dilution
نویسندگان
چکیده
We extend the statistical neurodynamics to study transient dynamics of sequence processing neural networks with finite dilution, and the theoretical results are supported by extensive numerical simulations. It is found that the order parameter equations are completely equivalent to those of the Generating Functional Method, which means that crosstalk noise follows normal distribution even in the case of failure in retrieval process. In order to verify the gaussian assumption of crosstalk noise, we numerically obtain the cumulants of crosstalk noise, and thirdand fourth-order cumulants are found to be indeed zero even in non-retrieval case.
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