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Unsupervised Image Classification Through Time-Multiplexed Photonic Multi-Layer Spiking Convolutional Neural Network

Neurons and Cognition 2021-03-30 v1 Image and Video Processing
Authors: Menelaos Skontranis , George Sarantoglou , Stavros Deligiannidis , Adonis Bogris , Charis Mesaritakis
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Abstract

We present results of a deep photonic spiking convolutional neural network, based on two-section VCSELs, targeting image classification. Training is based on unsupervised spike-timing dependent plasticity, whereas neuron time-multiplexing and ultra-fast response are exploited towards a a reduction of the physical neuron count by 90%

Keywords

spiking neural networks biomedical image analysis visual perception and neural coding

Cite

@article{arxiv.2009.08309,
  title  = {Unsupervised Image Classification Through Time-Multiplexed Photonic Multi-Layer Spiking Convolutional Neural Network},
  author = {Menelaos Skontranis and George Sarantoglou and Stavros Deligiannidis and Adonis Bogris and Charis Mesaritakis},
  journal= {arXiv preprint arXiv:2009.08309},
  year   = {2021}
}

Comments

4 pages, 3 figures

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