Influence of optical axons on the synaptic weights

Mircea Hulea, Zabih Ghassemlooy, Othman Isam Younus, Sujan Rajbhandari

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

2 Citations (Scopus)


Hardware implementation of the spiking neural networks benefits from parallel processing and transmission of the data. When the neural areas are distanced or are in relative motion, the optical wireless connections represent a reliable alternative to the hard-wiring. Recent research shows that optical axons (OAs) can be successfully used in optical neural networks (NNs) because of the increased tolerance to the optical signal fading to the network activity. This work experimentally evaluates the influence of the optical signal fluctuations caused by the variation of the optical link length and misalignment on the transmitted weights. When the activation threshold of the neuron is reached, the OA triggers the electronic synapses that generate spikes of variable duration according to the synaptic weights. The results show that the duration of the transmitted spike is not affected by the changes in the optical signal intensity when the optical path varies from 0.05 to 1.90 m and the optical misalignment is below 60°. Hence, the OAs can be used to connect simple spiking neural networks (SNNs) such as neuromorphic sensors and the main neural control units or to interconnect high complexity neural areas that control humanoid robots.

Original languageEnglish
Title of host publication2021 17th International Symposium on Wireless Communication Systems, ISWCS 2021
PublisherVDE Verlag GmbH
ISBN (Electronic)9781728174327
Publication statusPublished - 6 Sept 2021
Event17th International Symposium on Wireless Communication Systems, ISWCS 2021 - Berlin, Germany
Duration: 6 Sept 20219 Sept 2021

Publication series

NameProceedings of the International Symposium on Wireless Communication Systems
ISSN (Print)2154-0217
ISSN (Electronic)2154-0225


Conference17th International Symposium on Wireless Communication Systems, ISWCS 2021


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