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. Author manuscript; available in PMC: 2020 Oct 1.
Published in final edited form as: J Neurosci Methods. 2019 Aug 1;326:108373. doi: 10.1016/j.jneumeth.2019.108373

Figure 10 -.

Figure 10 -

Pre-training of DNN layer-1 weights. Blue histogram counts the maxima of mutual information (M) over all pairs (PT, RND), PT - map with pre-trained weights, RND - map with randomly initialized weights, where the pre-training has been done using de-nosing auto-encoder (DAE) architecture. The yellow histogram shows the counts of M in the opposite case (RND, PT) when for each randomly initialized feature map, the maximal M match has been searched within PT maps.