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. 2018 Aug 23;12:524. doi: 10.3389/fnins.2018.00524

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Copyright © 2018 Srinivasan, Panda and Roy.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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(A) Sparse representations of MNIST digits (28 × 28 in dimension) self-learned by a Liquid-SNN of 400 neurons (80% of which are excitatory) in the weight of the synapses connecting the input to the liquid-excitatory neurons (320 excitatory neurons organized in a 17 × 17 grid). (B) Sparse features self-learned by the individual liquids making up a two-liquid SpiLinC consisting of 200 neurons per liquid (160 excitatory neurons organized in a 12 × 12 grid) trained using the vertical partitions (each 28 × 16 in dimension) of the MNIST digit patterns.