Publication:

Emergent Self-Adaptation in an Integrated Photonic Neural Network for Backpropagation-Free Learning

Date

2025
Journal article
https://doi.org/10.1002/advs.202404920
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dc.contributor.authorLugnan, Alessio
dc.contributor.authorAggarwal, Samarth
dc.contributor.authorBrueckerhoff-Plueckelmann, Frank
dc.contributor.authorWright, C. David
dc.contributor.authorPernice, Wolfram H. P.
dc.contributor.authorBhaskaran, Harish
dc.contributor.authorBienstman, Peter
dc.contributor.imecauthorLugnan, Alessio
dc.contributor.imecauthorBienstman, Peter
dc.contributor.orcidimecLugnan, Alessio::0000-0002-6587-2614
dc.contributor.orcidimecBienstman, Peter::0000-0001-6259-464X
dc.date.accessioned2025-05-07T08:22:58Z
dc.date.available2024-11-29T16:40:35Z
dc.date.available2025-05-07T08:22:58Z
dc.date.embargo2024-11-20
dc.date.issued2025
dc.description.wosFundingTextThis work was funded by the European Union's Horizon 2020 and Horizon Europe Research and Innovation Programmes (grant 780848 Fun-COMP, grant 101017237 PHOENICS, grant 101070238 NEUROPULS), by the Flemish FWO project G006020N and by the Belgian EOS project G0H1422N. The authors thank Joni Dambre, Andrew Katumba, Xuan Li, Johannes Feldmann and Santiago Garcia-Cuevas Carrillo for useful discussion and help in the design and fabrication process. The authors also thank the Reviewers, as their contribution helped us to make our work clearer and more complete.
dc.identifier.doi10.1002/advs.202404920
dc.identifier.issn2198-3844
dc.identifier.pmidMEDLINE:39564965
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/44869
dc.publisherWILEY
dc.source.beginpageArt. 2404920
dc.source.endpageN/A
dc.source.issue2
dc.source.journalADVANCED SCIENCE
dc.source.numberofpages17
dc.source.volume12
dc.title

Emergent Self-Adaptation in an Integrated Photonic Neural Network for Backpropagation-Free Learning

dc.typeJournal article
dspace.entity.typePublication
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