In the original article, we neglected to acknowledge the funding from the European Commission (653019 - CEREBSENSING) to JG. The authors apologize for this oversight. This error does not change the scientific conclusions of the article in any way.
The original article was updated.
Statements
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Summary
Keywords
event- and time-driven techniques, CPU, GPU, look-up table, spiking neural models, bi-fixed-step integration methods
Citation
Naveros F, Garrido JA, Carrillo RR, Ros E and Luque NR (2018) Corrigendum: Event- and Time-Driven Techniques Using Parallel CPU-GPU Co-processing for Spiking Neural Networks. Front. Neuroinform. 12:24. doi: 10.3389/fninf.2018.00024
Received
17 April 2018
Accepted
18 April 2018
Published
04 May 2018
Volume
12 - 2018
Edited and reviewed by
Frontiers in Neuroscience Editorial Office, Frontiers, Switzerland
Updates
Copyright
© 2018 Naveros, Garrido, Carrillo, Ros and Luque.
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 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.
*Correspondence: Eduardo Ros eros@ugr.esNiceto R. Luque niceto.luque@inserm.fr
Disclaimer
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