Universality in the space of interactions for network models

作者: L F Abbott , T B Kepler

DOI: 10.1088/0305-4470/22/12/008

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摘要: By modifying the measure used to sum over coupling matrices, authors generalise Gardner's (1988) calculation of fractional interaction-space volume and storage capacity neural network models. They also compute local field distribution for network. The generalised allows one consider networks with a wide variety properties away from saturation, but they find that original results saturated are universal all well behaved measures. Other universality classes including those containing Hebb matrices pseudo-inverse obtained by considering singular

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