Catherine D. Schuman, Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell, Prasanna Date and Bill Kay

January, 2022

Nature Computational Science

https://www.nature.com/articles/s43588-021-00184-y

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Abstract

Neuromorphic computing technologies will be important for the future of computing, but much of the work in neuromorphic computing has focused on hardware development. Here, we review recent results in neuromorphic computing algorithms and applications. We highlight characteristics of neuromorphic computing technologies that make them attractive for the future of computing and we discuss opportunities for future development of algorithms and applications on these systems.

Citation Information

Text

author     C. D. Schuman and S. R. Kulkarni and M. Parsa and J. P. Mitchell
           and P. Date and B. Kay
title      Opportunities for neuromorphic computing algorithms and applications
journal    Nature Computational Science
volume     2
issue      1
doi        10.1038/s43588-021-00184-y
url        https://doi.org/10.1038/s43588-021-00184-y
pages      10-19
year       2022

Bibtex

@ARTICLE{skp:22:onc,
    author = "C. D. Schuman and S. R. Kulkarni and M. Parsa and J. P. Mitchell
                and P. Date and B. Kay",
    title = "Opportunities for neuromorphic computing algorithms and applications",
    journal = "Nature Computational Science",
    volume = "2",
    issue = "1",
    doi = "10.1038/s43588-021-00184-y",
    url = "https://doi.org/10.1038/s43588-021-00184-y",
    pages = "10-19",
    year = "2022"
}