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Proceedings Paper

Optical hybrid analog-digital signal processing based on spike processing in neurons
Author(s): Mable P. Fok; Yue Tian; David Rosenbluth; Yanhua Deng; Paul R. Prucnal
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Paper Abstract

Spike processing is one kind of hybrid analog-digital signal processing, which has the efficiency of analog processing and the robustness to noise of digital processing. When instantiated with optics, a hybrid analog-digital processing primitive has the potential to be scalable, computationally powerful, and have high operation bandwidth. These devices open up a range of processing applications for which electronic processing is too slow. 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. In this paper, we introduce our photonic neuron architecture and 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.

Paper Details

Date Published: 8 September 2011
PDF: 6 pages
Proc. SPIE 8134, Optics and Photonics for Information Processing V, 813402 (8 September 2011); doi: 10.1117/12.895347
Show Author Affiliations
Mable P. Fok, Princeton Univ. (United States)
Yue Tian, Princeton Univ. (United States)
David Rosenbluth, Lockheed Martin Corp. (United States)
Yanhua Deng, Princeton Univ. (United States)
Paul R. Prucnal, Princeton Univ. (United States)


Published in SPIE Proceedings Vol. 8134:
Optics and Photonics for Information Processing V
Khan M. Iftekharuddin; Abdul Ahad Sami Awwal, Editor(s)

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