CORRECTION article

Front. Neurosci., 07 January 2019

Sec. Neuromorphic Engineering

Volume 12 - 2018 | https://doi.org/10.3389/fnins.2018.00991

Corrigendum: Large-Scale Neuromorphic Spiking Array Processors: A Quest to Mimic the Brain

  • 1. Department of Electronic Systems Engineering, Indian Institute of Science, Bangalore, India

  • 2. Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, United States

  • 3. Department of Bioengineering and Institute for Neural Computation, University of California, San Diego, La Jolla, CA, United States

  • 4. Institute of Neuroinformatics, University of Zurich and ETH Zurich, Zurich, Switzerland

  • 5. Kirchhoff Institute for Physics, University of Heidelberg, Heidelberg, Germany

  • 6. The MARCS Institute, Western Sydney University, Kingswood, NSW, Australia

  • 7. Cognitive Interaction Technology – Center of Excellence, Bielefeld University, Bielefeld, Germany

  • 8. School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, United States

  • 9. School of Electrical, Computer and Engineering, Arizona State University, Tempe, AZ, United States

Article metrics

View details

5

Citations

2,2k

Views

846

Downloads

In the original article, there were mistakes in Table 5, Comparison of event-based neural processors, as published. The area per neuron for the transistor channel was incorrectly provided as “4 cm2” and should be “–” (empty). The synaptic plasticity for true North was incorrectly provided as “STDP” and should be “No Plasticity.” The area per neuron for Loihi was incorrectly provided as “0.4 mm2” and should be “0.4 mm2*.” The corrected Table 5, Comparison of event-based neural processors, appears below.

Table 5

Chip nameTechnologyProcess (nm)Neurons type#Neurons#SynapseArea per neuron#Energy per eventSynaptic plasticity
MNIFATMixed Signal500LIF/M-N6,1201,495 μm2360 pJProgrammable
DeepSouthDigital28LIF200KNo Plasticity
Dynap-SELMixed Signal28I&F1,08878,08020 μm22.8pJSTDP
BrainScaleSMixed Signal180AdEx IF512100K1,500 μm2100pJHebbian learning, STDP
2DIFWTAAnalog350I&F2,04828,672No Plasticity
HiAER-IFAT board with 4 chipsAnalog90I&F256K256M140 μm222 pJNo Plasticity
Transistor-ChannelAnalog350Floating Gate MOSFET10030,00010 pJSTDP
NeurogridMixed signal180Adaptive Quad IF65K100M1,800 μm231.2pJNo Plasticity
TrueNorthDigital28Adaptive Exp IF1M256M3,325 μm245pJNo Plasticity
SpiNNakerDigital130Programmable16K16M43nJSTDP
LoihiDigital14Adaptive LIF130K130M0.4 mm2*23.6 pJEpoch-based, STDP

Comparison of event-based neural processors.

*

Neurosynaptic core area with each core implements 1,024 neural units.

The authors apologize for these errors and state that the do not change the scientific conclusions of the article in any way. The original article has been updated.

Summary

Keywords

neuromorphic engineering, large-scale systems, brain-inspired computing, analog sub-threshold, spiking neural emulator

Citation

Thakur CS, Molin JL, Cauwenberghs G, Indiveri G, Kumar K, Qiao N, Schemmel J, Wang R, Chicca E, Hasler JO, Seo J, Yu S, Cao Y, van Schaik A and Etienne-Cummings R (2019) Corrigendum: Large-Scale Neuromorphic Spiking Array Processors: A Quest to Mimic the Brain. Front. Neurosci. 12:991. doi: 10.3389/fnins.2018.00991

Received

07 December 2018

Accepted

10 December 2018

Published

07 January 2019

Approved by

Frontiers in Neuroscience Editorial Office, Frontiers Media SA, Switzerland

Volume

12 - 2018

Updates

Copyright

*Correspondence: Chetan Singh Thakur

This article was submitted to Neuromorphic Engineering, a section of the journal Frontiers in Neuroscience

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

Cite article

Copy to clipboard


Export citation file


Share article

Article metrics