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. 2016 Sep 8;10:93. doi: 10.3389/fncom.2016.00093

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Copyright © 2016 Spiess, George, Cook and Diehl.

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) or licensor 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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The connection matrices from the input population to the computation population after training. The columns of these matrices were only sorted once before the start of the simulation. (D) shows the performance of these unsorted matrices. The algorithm using Gaussian convolution achieves lower variance in the spike response thanks to the inclusion of spatial information. (A) Only STDP. (B) Bookkeeping with pruning. (C) Gaussian convolution with pruning. (D) Unsorted matrices evaluation.