Implementing and Benchmarking the Locally Competitive Algorithm on the Loihi 2 Neuromorphic Processor-Reference-Cited by-同舟云学术

Implementing and Benchmarking the Locally Competitive Algorithm on the Loihi 2 Neuromorphic Processor

Published:2023-08 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 International Conference on Neuromorphic Systems
language:
Short-container-title:

Author:

Parpart Gavin¹^ORCID,Risbud Sumedh²^ORCID,Kenyon Garrett³^ORCID,Watkins Yijing¹^ORCID

Affiliation:

1. Pacific Northwest National Laboratory, Richland, Washington, United States

2. Intel Labs Neuromorphic Computing Lab, Santa Clara, California, United States

3. Los Alamos National Laboratory, Los Alamos, New Mexico, United States

Funder

Department of Energy

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3589737.3605973

Reference17 articles.

1. James Bradbury , Roy Frostig , Peter Hawkins , Matthew James Johnson , Chris Leary, Dougal Maclaurin, George Necula, Adam Paszke, Jake VanderPlas, Skye Wanderman-Milne, and Qiao Zhang. 2018 . JAX: composable transformations of Python+NumPy programs. Google . http://github.com/google/jax James Bradbury, Roy Frostig, Peter Hawkins, Matthew James Johnson, Chris Leary, Dougal Maclaurin, George Necula, Adam Paszke, Jake VanderPlas, Skye Wanderman-Milne, and Qiao Zhang. 2018. JAX: composable transformations of Python+NumPy programs. Google. http://github.com/google/jax

2. SPORCO: A Python package for standard and convolutional sparse representations

3. Jacob Carroll , Nils Carlson , and Garrett T . Kenyon . 2017 . Phase Transitions in Image Denoising via Sparsely Coding Convolutional Neural Networks. CoRR abs/1710.09875 (2017), 4 pages. arXiv:1710.09875 http://arxiv.org/abs/1710.09875 Jacob Carroll, Nils Carlson, and Garrett T. Kenyon. 2017. Phase Transitions in Image Denoising via Sparsely Coding Convolutional Neural Networks. CoRR abs/1710.09875 (2017), 4 pages. arXiv:1710.09875 http://arxiv.org/abs/1710.09875

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

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

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