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 proceedingConference 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 languageEnglish (US)
Title of host publication2020 Optical Fiber Communications Conference and Exhibition, OFC 2020 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781943580712
StatePublished - Mar 2020
Event2020 Optical Fiber Communications Conference and Exhibition, OFC 2020 - San Diego, United States
Duration: Mar 8 2020Mar 12 2020

Publication series

Name2020 Optical Fiber Communications Conference and Exhibition, OFC 2020 - Proceedings

Conference

Conference2020 Optical Fiber Communications Conference and Exhibition, OFC 2020
CountryUnited States
CitySan Diego
Period3/8/203/12/20

All Science Journal Classification (ASJC) codes

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

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  • 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 [9082977] (2020 Optical Fiber Communications Conference and Exhibition, OFC 2020 - Proceedings). Institute of Electrical and Electronics Engineers Inc..