Neuromorphic Photonic Integrated Circuits
Neuromorphic Photonic Integrated Circuits
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DOI：
10.1109/jstqe.2018.2840448
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发表时间：
2018-11-01
影响因子：
4.9
通讯作者：
Prucnal, Paul R.
中科院分区：
文献类型：
--
作者：
Peng, Hsuan-Tung;Nahmias, Mitchell A.;Prucnal, Paul R.
本文综述了神经形态光子学领域的一些最新进展，特别关注可扩展性。我们提供了一个用于理解基础模型的框架，并展示了一种类神经元处理器件——可激发激光器，它对于与新兴的光子集成电路平台集成具有许多有利特性。在系统层面，我们比较了几种提出的互连框架，这些框架允许构建完全可调谐的光子神经元网络。
This paper reviews some recent progress in the field of neuromorphic photonics, with a particular focus on scalability. We provide a framework for understanding the underlying models, and demonstrate a neuron-like processing device-an excitable laser-that has many favorable properties for integration with emerging photonic integrated circuit platforms. On a systems level, we compare several proposed interconnection frameworks that allow for fully tunable networks of photonic neurons.