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- W2150601791 abstract "Three different sparsely encoded associative memories (SEAMs) are quantitatively analyzed. The first two models are shown to have performance inferior to that of nonsparse systems due to stored-pattern mutual interference. Assuming that each neuron is working close to its threshold and using dynamic thresholding selection, the binary SEAM performance can be improved. The simulation results are consistent with the theoretical work. The sensitivity problem that arises in choosing the threshold range is also explored. >" @default.
- W2150601791 created "2016-06-24" @default.
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- W2150601791 date "2003-01-02" @default.
- W2150601791 modified "2023-09-27" @default.
- W2150601791 title "A quantitative analysis of a variety of sparsely encoded memories" @default.
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- W2150601791 doi "https://doi.org/10.1109/iscas.1992.229942" @default.
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