dc.contributor.author	Manning, Hugh G.
dc.contributor.author	Niosi, Fabio
dc.contributor.author	da Rocha, Claudia Gomes
dc.contributor.author	Bellew, Allen T.
dc.contributor.author	O’Callaghan, Colin
dc.contributor.author	Biswas, Subhajit
dc.contributor.author	Flowers, Patrick F.
dc.contributor.author	Wiley, Benjamin J.
dc.contributor.author	Holmes, Justin D.
dc.contributor.author	Ferreira, Mauro S.
dc.contributor.author	Boland, John J.
dc.contributor.funder	European Research Council	en
dc.contributor.funder	Science Foundation Ireland	en
dc.date.accessioned	2019-11-26T05:55:30Z
dc.date.available	2019-11-26T05:55:30Z
dc.date.issued	2018-08-13
dc.description.abstract	Nanowire networks are promising memristive architectures for neuromorphic applications due to their connectivity and neurosynaptic-like behaviours. Here, we demonstrate a self-similar scaling of the conductance of networks and the junctions that comprise them. We show this behavior is an emergent property of any junction-dominated network. A particular class of junctions naturally leads to the emergence of conductance plateaus and a “winner-takes-all” conducting path that spans the entire network, and which we show corresponds to the lowest-energy connectivity path. The memory stored in the conductance state is distributed across the network but encoded in specific connectivity pathways, similar to that found in biological systems. These results are expected to have important implications for development of neuromorphic devices based on reservoir computing.	en
dc.description.status	Peer reviewed	en
dc.description.version	Published Version	en
dc.format.mimetype	application/pdf	en
dc.identifier.articleid	3219	en
dc.identifier.citation	Manning, H.G., Niosi, F., da Rocha, C.G., Bellew, A.T., O’Callaghan, C., Biswas, S., Flowers, P.F., Wiley, B.J., Holmes, J.D., Ferreira, M.S. and Boland, J.J., 2018. Emergence of winner-takes-all connectivity paths in random nanowire networks. Nature communications, 9(1), (3219). DOI:10.1038/s41467-018-05517-6	en
dc.identifier.doi	10.1038/s41467-018-05517-6	en
dc.identifier.eissn	2041-1723
dc.identifier.endpage	9	en
dc.identifier.issued	1	en
dc.identifier.journaltitle	Nature Communications	en
dc.identifier.startpage	1	en
dc.identifier.uri	https://hdl.handle.net/10468/9229
dc.identifier.volume	9	en
dc.language.iso	en	en
dc.publisher	Nature Publishing Group	en
dc.relation.project	info:eu-repo/grantAgreement/EC/FP7::SP2::ERC/321160/EU/Cognitive Networks for Intelligent Materials and Devices/COGNET	en
dc.relation.project	info:eu-repo/grantAgreement/SFI/SFI Research Centres/12/RC/2278/IE/Advanced Materials and BioEngineering Research Centre (AMBER)/	en
dc.relation.project	info:eu-repo/grantAgreement/SFI/SFI Investigator Programme/12/IA/1482/IE/Atom Level Engineering of Material-on-Insulator Devices and Sensors/	en
dc.relation.uri	https://www.nature.com/articles/s41467-018-05517-6
dc.rights	© The Author(s) 2018	en
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/	en
dc.subject	Nanowire networks	en
dc.subject	Neuromorphic applications	en
dc.subject	Neurosynaptic-like behaviour	en
dc.subject	Reservoir computing	en
dc.title	Emergence of winner-takes-all connectivity paths in random nanowire networks	en
dc.type	Article (peer-reviewed)	en

Emergence of winner-takes-all connectivity paths in random nanowire networks

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