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. 2016 Jan 14;9:516. doi: 10.3389/fnins.2015.00516

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Copyright © 2016 Cheung, Schultz and Luk.

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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(A) Speedup of NeuroFlow with respect to real-time and (B) performance of NeuroFlow in terms of spike delivery rate. The speedup of NeuroFlow is inversely proportional to the size of the network, and networks with smaller number of synapses per neuron run a number of times faster. Due to overhead of distributing the computations to different processors, the speedup of network is not linear to the size of the network.