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Topology of synaptic connectivity constrains neuronal stimulus representation, predicting two complementary coding strategies

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dc.contributor.authorReimann, Michael W.
dc.contributor.authorRiihimaki, Henri
dc.contributor.authorSmith, Jason
dc.contributor.authorLazovskis, Janis
dc.contributor.authorPokorny, Christoph
dc.contributor.authorLevi, Ran
dc.contributor.institutionUniversity of Aberdeen.Mathematical Scienceen
dc.date.accessioned2022-02-04T14:33:01Z
dc.date.available2022-02-04T14:33:01Z
dc.date.issued2022-01-12
dc.descriptionFunding: This study was supported by funding to the Blue Brain Project, a research center of the Ecole polytechnique federale de Lausanne (EPFL), from the Swiss government’s ETH Board of the Swiss Federal Institutes of Technology. RL is supported by an EPSRC grant EP/P025072/ and a collaboration agreement 832 with Ecole Polytechnique Federale de Lausanne. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.en
dc.description.statusPeer revieweden
dc.format.extent4248707
dc.identifier209874719
dc.identifierd24c806b-9816-4276-b2e0-39696190453e
dc.identifier85122725902
dc.identifier.citationReimann, M W, Riihimaki, H, Smith, J, Lazovskis, J, Pokorny, C & Levi, R 2022, 'Topology of synaptic connectivity constrains neuronal stimulus representation, predicting two complementary coding strategies', PloS ONE, vol. 17, no. 1, e0261702. https://doi.org/10.1371/journal.pone.0261702en
dc.identifier.doi10.1371/journal.pone.0261702
dc.identifier.issn1932-6203
dc.identifier.otherORCID: /0000-0001-5297-8295/work/159078626
dc.identifier.urihttps://hdl.handle.net/2164/18031
dc.language.isoeng
dc.relation.ispartofPloS ONEen
dc.subjectSubstantive connection via an eligible employment contracten
dc.subjectGA Mathematical geography. Cartographyen
dc.subjectEngineering and Physical Sciences Research Council (EPSRC)en
dc.subjectEP/P025072en
dc.subject.lccGAen
dc.titleTopology of synaptic connectivity constrains neuronal stimulus representation, predicting two complementary coding strategiesen
dc.typeJournal articleen

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