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# Comparison Between Kanerva's SDM and Hopfield-Type Neural Networks

@article{Keeler1988ComparisonBK, title={Comparison Between Kanerva's SDM and Hopfield-Type Neural Networks}, author={James D. Keeler}, journal={Cognitive Science}, year={1988}, volume={12}, pages={299-329} }

- Published 1988 in Cognitive Science
DOI:10.1207/s15516709cog1203_1

The Sparse, Distributed Memory (SDM) model (Kanerva. 1984) is compared to Hopfield-type, neural-network models. A mathematical framework for cornporing the two models is developed, and the capacity of each model is investigated. The capacity of the SDM can be increased independent of the dimension of the stored vectors, whereas the Hopfield capacity is limited to a fraction of this dimension. The stored information is proportional to the number of connections, and it is shown that this… CONTINUE READING

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