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Toward Fast Neural Computing using All-Photonic Phase Change Spiking Neurons

Scientific reports, 2018-08, Vol.8 (1), p.12980-9, Article 12980 [Peer Reviewed Journal]

2018. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2018 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-018-31365-x ;PMID: 30154507

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  • Title:
    Toward Fast Neural Computing using All-Photonic Phase Change Spiking Neurons
  • Author: Chakraborty, Indranil ; Saha, Gobinda ; Sengupta, Abhronil ; Roy, Kaushik
  • Subjects: Firing pattern ; Neural networks
  • Is Part Of: Scientific reports, 2018-08, Vol.8 (1), p.12980-9, Article 12980
  • Description: The rapid growth of brain-inspired computing coupled with the inefficiencies in the CMOS implementations of neuromrphic systems has led to intense exploration of efficient hardware implementations of the functional units of the brain, namely, neurons and synapses. However, efforts have largely been invested in implementations in the electrical domain with potential limitations of switching speed, packing density of large integrated systems and interconnect losses. As an alternative, neuromorphic engineering in the photonic domain has recently gained attention. In this work, we propose a purely photonic operation of an Integrate-and-Fire Spiking neuron, based on the phase change dynamics of Ge Sb Te (GST) embedded on top of a microring resonator, which alleviates the energy constraints of PCMs in electrical domain. We also show that such a neuron can be potentially integrated with on-chip synapses into an all-Photonic Spiking Neural network inferencing framework which promises to be ultrafast and can potentially offer a large operating bandwidth.
  • Publisher: England: Nature Publishing Group
  • Language: English
  • Identifier: ISSN: 2045-2322
    EISSN: 2045-2322
    DOI: 10.1038/s41598-018-31365-x
    PMID: 30154507
  • Source: PubMed Central
    ProQuest Central
    DOAJ Directory of Open Access Journals
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