Silicon Photonic Modulator Neuron

被引:239
|
作者
Tait, Alexander N. [1 ,2 ]
de Lima, Thomas Ferreira [1 ]
Nahmias, Mitchell A. [1 ]
Miller, Heidi B. [1 ,3 ]
Peng, Hsuan-Tung [1 ]
Shastri, Bhavin J. [1 ,3 ]
Prucnal, Paul R. [1 ]
机构
[1] Princeton Univ, Dept Elect Engn, Princeton, NJ 08544 USA
[2] NIST, Boulder, CO 80305 USA
[3] Queens Univ, Dept Phys Engn Phys & Astron, Kingston, ON K7L 3N6, Canada
来源
PHYSICAL REVIEW APPLIED | 2019年 / 11卷 / 06期
基金
美国国家科学基金会;
关键词
OPTICAL LOGIC; FAN-OUT; NETWORK; OPTIMIZATION; COMPUTATION; ANALOG;
D O I
10.1103/PhysRevApplied.11.064043
中图分类号
O59 [应用物理学];
学科分类号
摘要
There has been recent interest in neuromorphic photonics, a field with the promise to access pivotal and unexplored regimes of machine intelligence. Progress has been made on isolated neurons and analog interconnects; nevertheless, this renewal of interest has yet to produce a demonstration of a silicon photonic neuron capable of interacting with other like neurons. We report a modulator-class photonic neuron fabricated in a conventional silicon photonic process line. We demonstrate the behaviors of transfer-function configurability, fan-in, inhibition, time-resolved pulse processing, and, crucially, autaptic cascadability-a sufficient set of behaviors for a device to act as a neuron participating in a network of like neurons. The silicon photonic modulator neuron constitutes the final piece needed to make photonic neural networks fully integrated on currently available silicon photonic platforms.
引用
收藏
页数:18
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