@inproceedings{af3de97bb2e24b8b8fe3227921330b60,
title = "Demonstration of a silicon photonic neural network",
abstract = "Silicon photonic integration could enable high-performance brain-inspired photonic processors. We demonstrate a 3 node recurrent photonic neural network. Cusp and Hopf bifurcations induced by synaptic reconfiguration are shown as proof-of-concept. The prototype represents an early step towards network-based models of physical computing with integrated photonics.",
author = "Tait, \{Alexander N.\} and Ellen Zhou and Wu, \{Allie X.\} and Nahmias, \{Mitchell A.\} and \{De Lima\}, \{Thomas Ferreira\} and Shastri, \{Bhavin J.\} and Prucnal, \{Paul R.\}",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE Photonics Society Summer Topical Meeting Series, SUM 2016 ; Conference date: 11-07-2016 Through 13-07-2016",
year = "2016",
month = aug,
day = "22",
doi = "10.1109/PHOSST.2016.7548726",
language = "English (US)",
series = "2016 IEEE Photonics Society Summer Topical Meeting Series, SUM 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "72--73",
booktitle = "2016 IEEE Photonics Society Summer Topical Meeting Series, SUM 2016",
address = "United States",
}