Literature DB >> 23381240

Asynchronous spiking photonic neuron for lightwave neuromorphic signal processing.

Mable P Fok1, Yue Tian, David Rosenbluth, Paul R Prucnal.   

Abstract

We developed an asynchronous spiking photonic neuron that forms the basic building block for hybrid analog/digital lightwave neuromorphic processing. Our approach enables completely asynchronous spiking in response to input signals while maximizing the throughput relative to synchronous approaches. Asynchronous operation is achieved by generating the spike source for the photonic neuron through four-wave mixing. This hybrid analog/digital photonic neuron has an electro-absorption modulator as the temporal integration unit for analog processing, while the digital processing portion employs optical thresholding in a highly Ge-doped nonlinear loop mirror.

Mesh:

Year:  2012        PMID: 23381240     DOI: 10.1364/OL.37.003309

Source DB:  PubMed          Journal:  Opt Lett        ISSN: 0146-9592            Impact factor:   3.776


  1 in total

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

Authors:  Indranil Chakraborty; Gobinda Saha; Abhronil Sengupta; Kaushik Roy
Journal:  Sci Rep       Date:  2018-08-28       Impact factor: 4.379

  1 in total

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