Opportunities for neuromorphic computing algorithms and applications
Opportunities for neuromorphic computing algorithms and applications
复制标题
神经形态计算算法和应用的机会
DOI：
10.1038/s43588-021-00184-y
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发表时间：
2022-01-01
期刊：
影响因子：
--
通讯作者：
Kay, Bill
中科院分区：
文献类型：
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作者：
Schuman, Catherine D.;Kulkarni, Shruti R.;Kay, Bill
神经拟态计算技术对于计算的未来非常重要，但神经拟态计算的大部分工作都集中在硬件开发上。在这里，我们回顾神经形态计算算法和应用的最新成果。我们重点介绍了神经形态计算技术的特征，这些特征使它们对未来的计算具有吸引力，并讨论了这些系统上的算法和应用程序的未来开发机会。
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.