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dc.contributor.authorRoper, Men_US
dc.contributor.authorFernando, Cen_US
dc.contributor.authorChittka, Len_US
dc.date.accessioned2017-03-08T16:39:11Z
dc.date.available2016-12-23en_US
dc.date.issued2017-02en_US
dc.date.submitted2017-03-01T09:35:07.921Z
dc.identifier.issn1553-734Xen_US
dc.identifier.otherARTN e1005333en_US
dc.identifier.otherARTN e1005333en_US
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/19739
dc.description.sponsorshipThis work was supported by a Human Frontier Science Program Grant RGP0022/2014 to LC and Queen Mary University of London Scholarship to MR. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.en_US
dc.relation.ispartofPLOS COMPUTATIONAL BIOLOGYen_US
dc.rightsThis is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
dc.titleInsect Bio-inspired Neural Network Provides New Evidence on How Simple Feature Detectors Can Enable Complex Visual Generalization and Stimulus Location Invariance in the Miniature Brain of Honeybeesen_US
dc.typeArticle
dc.rights.holder© 2017 Roper et al
dc.identifier.doi10.1371/journal.pcbi.1005333en_US
pubs.author-urlhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000395718800015&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6aen_US
pubs.issue2en_US
pubs.notesNot knownen_US
pubs.organisational-group/Queen Mary University of London
pubs.organisational-group/Queen Mary University of London/Faculty of Science & Engineering
pubs.organisational-group/Queen Mary University of London/Faculty of Science & Engineering/Biological and Chemical Sciences - Biology - Research Students
pubs.organisational-group/Queen Mary University of London/Faculty of Science & Engineering/Biological and Chemical Sciences - Staff
pubs.organisational-group/Queen Mary University of London/Faculty Reporting - Research Students
pubs.organisational-group/Queen Mary University of London/Faculty Reporting - Research Students/Faculty of Science & Engineering PGRs
pubs.organisational-group/Queen Mary University of London/REF
pubs.organisational-group/Queen Mary University of London/REF/REF - UoA 05
pubs.publication-statusPublisheden_US
pubs.volume13en_US


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