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Corrigendum: A spiking neural network model of 3D perception for event-based neuromorphic stereo vision systems Marc Osswald, Sio-Hoi Ieng, Ryad Benosman & Giacomo Indiveri Scientific Reports 7:40703; doi: 10.1038/srep40703; published online 12 January 2017; updated on 16 March 2017 The Authors neglected to cite a previous study related to biological stereo vision systems. The additional reference is listed below as reference 1, and should appear in the text as below. In the Introduction section, “Here we present a novel approach to the stereo correspondence problem, inspired by biological stereo vision systems, which is compatible with ultra low latency and low power neuromorphic hardware technologies4”. should read: “Here we present a novel approach to the stereo correspondence problem, inspired by biological stereo vision systems and the pioneering work of Mahowald1. Our approach is compatible with ultra low latency and low power neuromorphic hardware technologies4”.
References
1. Mahowald, Misha. An analog VLSI system for stereoscopic vision. Vol. 265 (Springer Science & Business Media, 1994).
This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ © The Author(s) 2017
Scientific Reports | 7:44722 | DOI: 10.1038/srep44722
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OPEN
Corrigendum: A spiking neural network model of 3D perception for event-based neuromorphic stereo vision systems Marc Osswald, Sio-Hoi Ieng, Ryad Benosman & Giacomo Indiveri Scientific Reports 7:40703; doi: 10.1038/srep40703; published online 12 January 2017; updated on 16 March 2017 The Authors neglected to cite a previous study related to biological stereo vision systems. The additional reference is listed below as reference 1, and should appear in the text as below. In the Introduction section, “Here we present a novel approach to the stereo correspondence problem, inspired by biological stereo vision systems, which is compatible with ultra low latency and low power neuromorphic hardware technologies4”. should read: “Here we present a novel approach to the stereo correspondence problem, inspired by biological stereo vision systems and the pioneering work of Mahowald1. Our approach is compatible with ultra low latency and low power neuromorphic hardware technologies4”.
References
1. Mahowald, Misha. An analog VLSI system for stereoscopic vision. Vol. 265 (Springer Science & Business Media, 1994).
This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ © The Author(s) 2017
Scientific Reports | 7:44722 | DOI: 10.1038/srep44722
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