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

Source: [Unsupervised Image Classification Through Time-Multiplexed Photonic Multi-Layer Spiking Convolutional Neural Network](<https://www.sota2.com/research/paper/68fa5f191e209131ce9e78a6>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-10-25T19:08:52.839Z

Authors: Menelaos Skontranis, George Sarantoglou, Stavros Deligiannidis, Adonis Bogris, Charis Mesaritakis

Published: 2020-09-16T07:52:32.000Z

## 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%

## Recorded benchmark results

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## Original sources and implementation

[Original paper](<https://arxiv.org/abs/2009.08309>)

[PDF](<https://arxiv.org/pdf/2009.08309.pdf>)