Real-Time Operation of Silicon Photonic Neurons

Thomas Ferreira De Lima; Chaoran Huang; Simon Bilodeau; Alexander N. Tait; Hsuan Tung Peng; Philip Y. Ma; Eric C. Blow; Bhavin J. Shastri; Paul Prucnal

Real-Time Operation of Silicon Photonic Neurons

Thomas Ferreira De Lima
, Chaoran Huang
, Simon Bilodeau
, Alexander N. Tait
, Hsuan Tung Peng
, Philip Y. Ma
, Eric C. Blow
, Bhavin J. Shastri
, Paul Prucnal

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English (US)
Title of host publication	2020 Optical Fiber Communications Conference and Exhibition, OFC 2020 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781943580712
State	Published - Mar 2020
Event	2020 Optical Fiber Communications Conference and Exhibition, OFC 2020 - San Diego, United States Duration: Mar 8 2020 → Mar 12 2020

Publication series

Name	2020 Optical Fiber Communications Conference and Exhibition, OFC 2020 - Proceedings

Conference

Conference	2020 Optical Fiber Communications Conference and Exhibition, OFC 2020
Country/Territory	United States
City	San Diego
Period	3/8/20 → 3/12/20

All Science Journal Classification (ASJC) codes

Signal Processing
Electronic, Optical and Magnetic Materials
Computer Networks and Communications
Instrumentation
Atomic and Molecular Physics, and Optics

Cite this

De Lima, T. F., Huang, C., Bilodeau, S., Tait, A. N., Peng, H. T., Ma, P. Y., Blow, E. C., Shastri, B. J., & Prucnal, P. (2020). Real-Time Operation of Silicon Photonic Neurons. In 2020 Optical Fiber Communications Conference and Exhibition, OFC 2020 - Proceedings Article 9082977 (2020 Optical Fiber Communications Conference and Exhibition, OFC 2020 - Proceedings). Institute of Electrical and Electronics Engineers Inc..

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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 = "Publisher Copyright: {\textcopyright} 2020 OSA.; 2020 Optical Fiber Communications Conference and Exhibition, OFC 2020 ; Conference date: 08-03-2020 Through 12-03-2020",

year = "2020",

month = mar,

language = "English (US)",

series = "2020 Optical Fiber Communications Conference and Exhibition, OFC 2020 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2020 Optical Fiber Communications Conference and Exhibition, OFC 2020 - Proceedings",

address = "United States",

}

De Lima, TF, Huang, C, Bilodeau, S, Tait, AN, Peng, HT, Ma, PY, Blow, EC, Shastri, BJ & Prucnal, P 2020, Real-Time Operation of Silicon Photonic Neurons. in 2020 Optical Fiber Communications Conference and Exhibition, OFC 2020 - Proceedings., 9082977, 2020 Optical Fiber Communications Conference and Exhibition, OFC 2020 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2020 Optical Fiber Communications Conference and Exhibition, OFC 2020, San Diego, United States, 3/8/20.

Real-Time Operation of Silicon Photonic Neurons. / De Lima, Thomas Ferreira; Huang, Chaoran; Bilodeau, Simon et al.
2020 Optical Fiber Communications Conference and Exhibition, OFC 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2020. 9082977 (2020 Optical Fiber Communications Conference and Exhibition, OFC 2020 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Real-Time Operation of Silicon Photonic Neurons

AU - De Lima, Thomas Ferreira

AU - Huang, Chaoran

AU - Bilodeau, Simon

AU - Tait, Alexander N.

AU - Peng, Hsuan Tung

AU - Ma, Philip Y.

AU - Blow, Eric C.

AU - Shastri, Bhavin J.

AU - Prucnal, Paul

PY - 2020/3

Y1 - 2020/3

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/85085195348

UR - https://www.scopus.com/pages/publications/85085195348#tab=citedBy

M3 - Conference contribution

AN - SCOPUS:85085195348

T3 - 2020 Optical Fiber Communications Conference and Exhibition, OFC 2020 - Proceedings

BT - 2020 Optical Fiber Communications Conference and Exhibition, OFC 2020 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2020 Optical Fiber Communications Conference and Exhibition, OFC 2020

Y2 - 8 March 2020 through 12 March 2020

ER -

Real-Time Operation of Silicon Photonic Neurons

Abstract

Publication series

Conference

All Science Journal Classification (ASJC) codes

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