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dc.contributor.authorSafaryan, Karen
dc.contributor.authorMaex, Reinoud
dc.contributor.authorDavey, Neil
dc.contributor.authorAdams, Roderick
dc.contributor.authorSteuber, Volker
dc.date.accessioned2017-05-17T15:11:20Z
dc.date.available2017-05-17T15:11:20Z
dc.date.issued2017-04-20
dc.identifier.citationSafaryan , K , Maex , R , Davey , N , Adams , R & Steuber , V 2017 , ' Nonspecific synaptic plasticity improves the recognition of sparse patterns degraded by local noise ' , Scientific Reports , vol. 7 , 46550 . https://doi.org/10.1038/srep46550
dc.identifier.issn2045-2322
dc.identifier.otherPURE: 10871644
dc.identifier.otherPURE UUID: b25f3335-5672-4f42-b812-b0986b52e7d1
dc.identifier.otherScopus: 85038830873
dc.identifier.urihttp://hdl.handle.net/2299/18197
dc.descriptionSafaryan, K. et al. Nonspecific synaptic plasticity improves the recognition of sparse patterns degraded by local noise. Sci. Rep. 7, 46550; doi: 10.1038/srep46550 (2017). This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ © The Author(s) 2017.
dc.description.abstractMany forms of synaptic plasticity require the local production of volatile or rapidly diffusing substances such as nitric oxide. The nonspecific plasticity these neuromodulators may induce at neighboring non-active synapses is thought to be detrimental for the specificity of memory storage. We show here that memory retrieval may benefit from this non-specific plasticity when the applied sparse binary input patterns are degraded by local noise. Simulations of a biophysically realistic model of a cerebellar Purkinje cell in a pattern recognition task show that, in the absence of noise, leakage of plasticity to adjacent synapses degrades the recognition of sparse static patterns. However, above a local noise level of 20 %, the model with nonspecific plasticity outperforms the standard, specific model. The gain in performance is greatest when the spatial distribution of noise in the input matches the range of diffusion-induced plasticity. Hence non-specific plasticity may offer a benefit in noisy environments or when the pressure to generalize is strong.en
dc.format.extent14
dc.language.isoeng
dc.relation.ispartofScientific Reports
dc.rights/dk/atira/pure/core/openaccesspermission/open
dc.titleNonspecific synaptic plasticity improves the recognition of sparse patterns degraded by local noiseen
dc.contributor.institutionSchool of Computer Science
dc.contributor.institutionCentre for Computer Science and Informatics Research
dc.description.statusPeer reviewed
dc.relation.schoolSchool of Computer Science
dc.description.versiontypeFinal Published version
dcterms.dateAccepted2017-03-22
rioxxterms.versionSMUR
rioxxterms.versionVoR
rioxxterms.versionofrecordhttps://doi.org/10.1038/srep46550
rioxxterms.licenseref.urihttp://creativecommons.org/licenses/by/4.0/
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue
herts.rights.accesstypeopenAccess


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