Interleaving cortex-analog mixing improves deep non-negative matrix factorization networks
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Considering biological constraints in artificial neural networks has led to dramatic improvements in performance. Nevertheless, to date, the positivity of long-range signals in the cortex has not been shown to yield improvements. While Non-negative matrix fact... ...
