Opportunities for neuromorphic computing algorithms and applications

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

doi:10.1038/s43588-021-00184-y

Opportunities for neuromorphic computing algorithms and applications

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

Learning Systems

Research output: Contribution to journal › Review article › peer-review

463 Scopus citations

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.

Original language	English
Pages (from-to)	10-19
Number of pages	10
Journal	Nature Computational Science
Volume	2
Issue number	1
DOIs	https://doi.org/10.1038/s43588-021-00184-y
State	Published - Jan 2022

Funding

This material is based on work supported by the US Department of Energy, Office of Science, Office of Advanced Scientific Computing Research, R. Pino, program manager, under contract number DE-AC05-00OR22725. We would like to thank N. Armistead for his aid in creating the graphics for this manuscript.

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10.1038/s43588-021-00184-y

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Opportunities for neuromorphic computing algorithms and applications

Abstract

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