@inproceedings{8235b0c8f53e44a5a19aebdf68b754b2,
title = "Real-time operation of silicon photonic neurons",
abstract = "In this paper, we use standard silicon-photonic components in order to implement a neuromorphic circuit with two neurons. The network exhibits reconfigurable weights and nonlinear transfer functions, enabling high-bandwidth analog signal processing tasks.",
author = "{de Lima}, {Thomas Ferreira} and Chaoran Huang and Simon Bilodeau and Tait, {Alexander N.} and Peng, {Hsuan Tung} and Ma, {Philip Y.} and Blow, {Eric C.} and Shastri, {Bhavin J.} and Paul Prucnal",
note = "Funding Information: This research is supported by the Office of Naval Research (ONR) (N00014-18-1-2297), Defense Advanced Research Projects Agency (HR00111990049), and by the National Science Foundation (NSF) Enhancing Access to the Radio Spectrum (EARS) program, Grant No. (ECCS 1642962). Fabrication support was provided via the Natural Sciences and Engineering Research Council of Canada (NSERC) Silicon Electronic-Photonic Integrated Circuits (SiEPIC) Program and the Canadian Microelectronics Corporation (CMC). Publisher Copyright: {\textcopyright} OSA 2020 {\textcopyright} 2020 The Author(s); Optical Fiber Communication Conference, OFC 2020 ; Conference date: 08-03-2017 Through 12-03-2017",
year = "2020",
language = "English (US)",
isbn = "9781943580712",
series = "Optics InfoBase Conference Papers",
publisher = "OSA - The Optical Society",
booktitle = "Optical Fiber Communication Conference, OFC 2020",
}