Apples-to-spikes: The first detailed comparison of LASSO solutions generated by a spiking neuromorphic processor-Reference-Cited by-同舟云学术

Apples-to-spikes: The first detailed comparison of LASSO solutions generated by a spiking neuromorphic processor

Published:2022-07-27 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the International Conference on Neuromorphic Systems 2022
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Author:

Henke Kyle¹,Teti Michael²,Kenyon Garrett²,Migliori Ben²,Kunde Gerd²

Affiliation:

1. Los Alamos National Laboratory, USA and Department of Mathematics, University of New Mexico, USA

2. Los Alamos National Laboratory, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3546790.3546811

Reference17 articles.

1. A Cassidy , Jun Sawada , P Merolla , J Arthur , R Alvarez-lcaze, Filipp Akopyan , B Jackson , and D Modha . 2016 . TrueNorth: A high-performance, low-power neurosynaptic processor for multi-sensory perception, action, and cognition . In Proceedings of the Government Microcircuits Applications & Critical Technology Conference , Orlando, FL, USA. 14–17. A Cassidy, Jun Sawada, P Merolla, J Arthur, R Alvarez-lcaze, Filipp Akopyan, B Jackson, and D Modha. 2016. TrueNorth: A high-performance, low-power neurosynaptic processor for multi-sensory perception, action, and cognition. In Proceedings of the Government Microcircuits Applications & Critical Technology Conference, Orlando, FL, USA. 14–17.

2. Selmaan N Chettih and Christopher D Harvey . 2019. Single-neuron perturbations reveal feature-specific competition in V1. Nature 567, 7748 ( 2019 ), 334–340. Selmaan N Chettih and Christopher D Harvey. 2019. Single-neuron perturbations reveal feature-specific competition in V1. Nature 567, 7748 (2019), 334–340.

3. Loihi: A Neuromorphic Manycore Processor with On-Chip Learning

4. Advancing Neuromorphic Computing With Loihi: A Survey of Results and Outlook

5. Kaitlin L Fair Daniel R Mendat Andreas G Andreou Christopher J Rozell Justin Romberg and David V Anderson. 2019. Sparse coding using the locally competitive algorithm on the TrueNorth neurosynaptic system. Frontiers in Neuroscience(2019) 754. Kaitlin L Fair Daniel R Mendat Andreas G Andreou Christopher J Rozell Justin Romberg and David V Anderson. 2019. Sparse coding using the locally competitive algorithm on the TrueNorth neurosynaptic system. Frontiers in Neuroscience(2019) 754.

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