Silicon Photonics Neuromorphic Computing and its Application to Telecommunications (invited)
dc.contributor.author | Katumba, Andrew | |
dc.contributor.author | Yin, Xin | |
dc.contributor.author | Dambre, Joni | |
dc.contributor.author | Bienstman, Peter | |
dc.date.accessioned | 2022-12-01T18:50:57Z | |
dc.date.available | 2022-12-01T18:50:57Z | |
dc.date.issued | 2018 | |
dc.description.abstract | We present simulations on the brain-inspired paradigm of Photonic Reservoir Computing integrated on a silicon photonics chips as a promising alternative to solve problems like non-linear dispersion compensation in the analogue optical domain, without requiring complicated electric DSP. | en_US |
dc.identifier.citation | Katumba, A., Yin, X., Dambre, J., & Bienstman, P. (2018, September). Silicon Photonics Neuromorphic Computing and its Application to Telecommunications. In 2018 European Conference on Optical Communication (ECOC) (pp. 1-3). IEEE. | en_US |
dc.identifier.uri | https://ieeexplore.ieee.org/abstract/document/8535262/ | |
dc.identifier.uri | https://nru.uncst.go.ug/handle/123456789/5633 | |
dc.language.iso | en | en_US |
dc.publisher | IEEE | en_US |
dc.subject | Silicon Photonics | en_US |
dc.subject | Neuromorphic Computing | en_US |
dc.subject | Telecommunications | en_US |
dc.title | Silicon Photonics Neuromorphic Computing and its Application to Telecommunications (invited) | en_US |
dc.type | Article | en_US |
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