A Spiking Neural Network with Visible Light Communications

Mircea Hulea, Zabih Ghassemlooy, Sujan Rajbhandari

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

Spiking neural networks benefit from the real-time response when implemented using the analogue hardware since each electronic neuron operates independently from each other. The main problem of such neural networks is when the neural areas are non-static and are at a significant distance from each other. One solution to solve this problem is to use wireless based connectivity with parallel information transmission capability between neurons. This work presents the design and implementation of an all-optical synapse, based on the wavelength division multiplexed visible light communications between neurons, which has been adopted to overcome the problem of real-time weights adjustment. The results showed that by direct conversion of the electronic spikes into optical pulses, the spiking neurons are able to communicate through the optical channel with very low influence on the neural network normal spiking activity.
Original languageEnglish
Title of host publication2018 11th International Symposium on Communication Systems, Networks & Digital Signal Processing (CSNDSP)
PublisherIEEE
Pages1-5
ISBN (Electronic)978-1-5386-1335-1
ISBN (Print)978-1-5386-1336-8
DOIs
Publication statusPublished - 27 Sep 2018
Event2018 11th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP) - Budapest, Hungary
Duration: 18 Jul 201820 Jul 2018

Conference

Conference2018 11th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP)
Period18/07/1820/07/18

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