dc.contributor.author	Manning, Hugh G.
dc.contributor.author	Niosi, Fabio
dc.contributor.author	de 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	Bolan, John J.
dc.contributor.funder	European Research Council	en
dc.contributor.funder	Seventh Framework Programme	en
dc.contributor.funder	Science Foundation Ireland	en
dc.date.accessioned	2018-09-12T15:45:00Z
dc.date.available	2018-09-12T15:45:00Z
dc.date.issued	2018-08-13
dc.date.updated	2018-08-21T16:15:44Z
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.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 (9 pp). doi: 10.1038/s41467-018-05517-6	en
dc.identifier.doi	10.1038/s41467-018-05517-6
dc.identifier.endpage	3219-9	en
dc.identifier.issn	2041-1723
dc.identifier.journaltitle	Nature Communications	en
dc.identifier.startpage	3219-1	en
dc.identifier.uri	https://hdl.handle.net/10468/6765
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	SFI/12/RC/2278	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. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/	en
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/	en
dc.subject	Nanowires	en
dc.subject	Nanowire networks	en
dc.subject	Connectivity path	en
dc.subject	Neuromorphic devices	en
dc.subject	Nanoscale materials	en
dc.subject	Electron microscopy	en
dc.subject	Transmission electron microscopy	en
dc.subject	Computational nanotechnology	en
dc.subject	Electronic devices	en
dc.subject	Electronic properties and materials	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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