Lightwave neuromorphic signal processing

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

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

4 Scopus citations

Abstract

Spike processing devices for optical computational systems 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. Our approach is based on a hybrid analog/digital computational primitive that elegantly implements the functionality of an integrate-and-fire neuron using a Ge-doped non-linear optical fiber and off-the-shelf semiconductor devices.

Original languageEnglish (US)
Title of host publication2011 ICO International Conference on Information Photonics, IP 2011
DOIs
StatePublished - Aug 22 2011
Event2011 ICO International Conference on Information Photonics, IP 2011 - Ottawa, ON, Canada
Duration: May 18 2011May 20 2011

Publication series

Name2011 ICO International Conference on Information Photonics, IP 2011

Other

Other2011 ICO International Conference on Information Photonics, IP 2011
CountryCanada
CityOttawa, ON
Period5/18/115/20/11

All Science Journal Classification (ASJC) codes

  • Atomic and Molecular Physics, and Optics

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