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. 2016 May 26;10:57. doi: 10.3389/fnana.2016.00057

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Copyright © 2016 Diaz-Pier, Naveau, Butz-Ostendorf and Morrison.

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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Results of the scalability tests performed with structural plasticity. (A) Efficiency as a function of the number of nodes for 5000 neurons in the weak scaling test. The network was allowed to grow synapses following the structural plasticity rules during a simulation of 100 s of biological time. (B) Simulation time (red curve) as a function of the number of nodes for a network of 100, 000 neurons and in the strong scaling test. The blue curve indicates ideal linear scaling. (C) Efficiency as a function of the number of nodes for a network of 100, 000 neurons in the strong scaling test. The peak scaling efficiency is marked with a star.