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. 2014 Feb 4;8:10. doi: 10.3389/fnins.2014.00010

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Copyright © 2014 Carlson, Nageswaran, Dutt and Krichmar.

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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Plot of best and average fitness vs. generation number for entire simulation run (287 generations, 4104 neuron SNNs, 10 parallel configurations). All values were normalized to the best fitness value. The error bars denote the standard deviation for the average fitness at intervals of once per 20 generations. Initially the standard deviation of the average fitness is large as the EA explores the parameter space, but over time, the standard deviation decreases as the EA finds better solutions.