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Neuromorphic Backpropagation Algorithm Software

RESOURCE

Publicly Accessible Repository
https://github.com/lanl/spikingBackprop
https://doi.org/10.11578/dc.20220509.6

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Abstract

This software is an implementation of the backpropagation algorithm for Intel's neuromorphic research processor, Loihi. The software implements the neural circuit itself and a demonstration application where the MNIST dataset (a standard test problem) is used to train a neural network.
Developers:
Release Date:
2022-04-14
Project Type:
Open Source, Publicly Available Repository
Software Type:
Scientific
Licenses:
BSD 3-clause "New" or "Revised" License
Sponsoring Org.:
Code ID:
74250
Site Accession Number:
C22002
Research Org.:
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
Country of Origin:
United States

RESOURCE

Publicly Accessible Repository
https://github.com/lanl/spikingBackprop
https://doi.org/10.11578/dc.20220509.6

SAVE / SHARE



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Citation Formats

Sornborger, Andrew, and Renner, Alpha. Neuromorphic Backpropagation Algorithm Software. Computer Software. https://github.com/lanl/spikingBackprop. USDOE Laboratory Directed Research and Development (LDRD) Program. 14 Apr. 2022. Web. doi:10.11578/dc.20220509.6.
Sornborger, Andrew, & Renner, Alpha. (2022, April 14). Neuromorphic Backpropagation Algorithm Software. [Computer software]. https://github.com/lanl/spikingBackprop. https://doi.org/10.11578/dc.20220509.6.
Sornborger, Andrew, and Renner, Alpha. "Neuromorphic Backpropagation Algorithm Software." Computer software. April 14, 2022. https://github.com/lanl/spikingBackprop. https://doi.org/10.11578/dc.20220509.6.
@misc{ doecode_74250,
title = {Neuromorphic Backpropagation Algorithm Software},
author = {Sornborger, Andrew and Renner, Alpha},
abstractNote = {This software is an implementation of the backpropagation algorithm for Intel's neuromorphic research processor, Loihi. The software implements the neural circuit itself and a demonstration application where the MNIST dataset (a standard test problem) is used to train a neural network.},
doi = {10.11578/dc.20220509.6},
url = {https://doi.org/10.11578/dc.20220509.6},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20220509.6}},
year = {2022},
month = {apr}
}