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5 March 2021 Neuromorphic sensing via temporal signal signature processed by photonic reservoir computer
Sendy Phang, David Furniss, Christopher Mellor, Günther Roelkens, Angela B. Seddon, Peter Bientsman, Trevor M. Benson
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Proceedings Volume 11636, Optical Biopsy XIX: Toward Real-Time Spectroscopic Imaging and Diagnosis; 116360H (2021) https://doi.org/10.1117/12.2584187
Event: SPIE BiOS, 2021, Online Only
Abstract
We report a photonic implementation of the Reservoir Computer (PhRC) for sensing application. The kernel of the PhRC will be in the form of chaotic microcavity on a photonic crystal cavity platform designed to discriminate different analytes. The discrimination is achieved by recognising the unique temporal signal signature arising from the chaotic kernel in the presence of different analyte. The unique temporal signature is obtained exploiting the sensitive to the initial-condition response of a billiard shaped microcavity. This is noted that the new discrimination approach reported is performed directly on the temporal signal, in contrast to the conventional spectral fingerprinting.
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Sendy Phang, David Furniss, Christopher Mellor, Günther Roelkens, Angela B. Seddon, Peter Bientsman, and Trevor M. Benson "Neuromorphic sensing via temporal signal signature processed by photonic reservoir computer", Proc. SPIE 11636, Optical Biopsy XIX: Toward Real-Time Spectroscopic Imaging and Diagnosis, 116360H (5 March 2021); https://doi.org/10.1117/12.2584187
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KEYWORDS
Signal processing
Optical computing
Optical microcavities
Brain
Retina
Molecular photonics
Molecules
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