Photonic neurons for terahertz pulse processing

Mable P. Fok, David Rosenbluth, Konstantin Kravtsov, Paul R. Prucnal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We developed a hybrid analog/digital computational primitive that elegantly implements the functionality of an integrateand-fire neuron using a Ge-doped non-linear optical fiber and off-the-shelf semiconductor devices. Spike processing devices for optical computational system have the potential to be scalable, computationally powerful, and have high operation bandwidth. They open up a range of optical processing applications for which electronic processing is too slow. In this paper, we demonstrate the feasibility of implementing simple photonic neuromorphic circuits, including the auditory localization algorithm of the barn owl, which is useful for LIDAR localization, and the crayfish tail-flip escape response.

Original languageEnglish (US)
Title of host publication9th International Conference on Optical Communications and Networks, ICOCN 2010
Pages188-189
Number of pages2
Edition574 CP
DOIs
StatePublished - 2010
Event9th International Conference on Optical Communications and Networks, ICOCN 2010 - Nanjing, China
Duration: Oct 24 2010Oct 27 2010

Publication series

NameIET Conference Publications
Number574 CP
Volume2010

Other

Other9th International Conference on Optical Communications and Networks, ICOCN 2010
Country/TerritoryChina
CityNanjing
Period10/24/1010/27/10

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Keywords

  • Gedoped nonlinear fiber
  • Lightwave neuromorphic signal processing
  • Optical neural systems
  • Semiconductor optical amplifier

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