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A silicon photonic modulator neuron

Authors :
Tait, Alexander N.
de Lima, Thomas Ferreira
Nahmias, Mitchell A.
Miller, Heidi B.
Peng, Hsuan-Tung
Shastri, Bhavin J.
Prucnal, Paul R.
Source :
Phys. Rev. Applied 11, 064043 (2019)
Publication Year :
2018

Abstract

There has been a recently renewed interest in neuromorphic photonics, a field promising to access pivotal and unexplored regimes of machine intelligence. Progress has been made on isolated neurons and analog interconnects; nevertheless, this renewal 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 behaviors of transfer function configurability, fan-in, inhibition, time-resolved 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.<br />Comment: 16 pages, 10 figures

Details

Database :
arXiv
Journal :
Phys. Rev. Applied 11, 064043 (2019)
Publication Type :
Report
Accession number :
edsarx.1812.11898
Document Type :
Working Paper
Full Text :
https://doi.org/10.1103/PhysRevApplied.11.064043