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The Use of Hebbian Cell Assemblies for Nonlinear Computation

dc.contributor.authorTetzlaff, Christian
dc.contributor.authorDasgupta, Sakyasingha
dc.contributor.authorKulvicius, Tomas
dc.contributor.authorWörgötter, Florentin
dc.date.accessioned2015-09-07T12:48:23Z
dc.date.available2015-09-07T12:48:23Z
dc.date.issued2015
dc.relation.ISSN2045-2322
dc.identifier.urihttp://resolver.sub.uni-goettingen.de/purl?gs-1/12075
dc.description.abstractWhen learning a complex task our nervous system self-organizes large groups of neurons into coherent dynamic activity patterns. During this, a network with multiple, simultaneously active, and computationally powerful cell assemblies is created. How such ordered structures are formed while preserving a rich diversity of neural dynamics needed for computation is still unknown. Here we show that the combination of synaptic plasticity with the slower process of synaptic scaling achieves (i) the formation of cell assemblies and (ii) enhances the diversity of neural dynamics facilitating the learning of complex calculations. Due to synaptic scaling the dynamics of different cell assemblies do not interfere with each other. As a consequence, this type of self-organization allows executing a difficult, six degrees of freedom, manipulation task with a robot where assemblies need to learn computing complex non-linear transforms and – for execution – must cooperate with each other without interference. This mechanism, thus, permits the self-organization of computationally powerful sub-structures in dynamic networks for behavior control.
dc.language.isoeng
dc.relationinfo:eu-repo/grantAgreement/EC/FP7/600578/EU//ACAT
dc.rightsopenAccess
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectHebbian Cell; Nonlinear Computation; nervous system
dc.titleThe Use of Hebbian Cell Assemblies for Nonlinear Computation
dc.typejournalArticle
dc.identifier.doi10.1038/srep12866
dc.type.versionpublishedVersion
dc.bibliographicCitation.volume5
dc.type.subtypejournalArticle
dc.identifier.pmid26249242
dc.bibliographicCitation.articlenumber12866
dc.relation.euprojectACAT
dc.description.statuspeerReviewed
dc.bibliographicCitation.journalScientific Reports


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