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dc.contributor.authorde Sousa, G.
dc.contributor.authorAdams, R.G.
dc.contributor.authorDavey, N.
dc.contributor.authorMaex, R.
dc.contributor.authorSteuber, Volker
dc.date.accessioned2009-10-14T13:30:22Z
dc.date.available2009-10-14T13:30:22Z
dc.date.issued2009
dc.identifier.citationde Sousa , G , Adams , R G , Davey , N , Maex , R & Steuber , V 2009 , ' The Effect of Different Forms of Synaptic Plasticity on Pattern Recognition in the Cerebellar Cortex ' Lecture Notes in Computer Science , vol. 5495 , pp. 413-422 . https://doi.org/10.1007/978-3-642-04921-7_42
dc.identifier.issn0302-9743
dc.identifier.otherPURE: 94095
dc.identifier.otherPURE UUID: e6895e7b-2550-4377-be76-4b49617b2891
dc.identifier.otherdspace: 2299/3958
dc.identifier.otherScopus: 78650754171
dc.identifier.urihttp://hdl.handle.net/2299/3958
dc.description“The original publication is available at www.springerlink.com”. Copyright Springer.
dc.description.abstractMany cerebellar learning theories assume that long-term depression (LTD) of synapses between parallel fibres (PFs) and Purkinje cells (PCs) provides the basis for pattern recognition in the cerebellum. Previous work has suggested that PCs can use a novel neural code based on the duration of silent periods. These simulations have used a simplified learning rule, where the synaptic conductance was halved each time a pattern was learned. However, experimental studies in cerebellar slices show that the synaptic conductance saturates and is rarely reduced to less than 50% of its baseline value. Moreover, the previous simulations did not include plasticity of the synapses between inhibitory interneurons and PCs. Here we study the effect of LTD saturation and inhibitory synaptic plasticity on pattern recognition in a complex PC model. We find that the PC model is very sensitive to the value at which LTD saturates, but is unaffected by inhibitory synaptic plasticity.en
dc.language.isoeng
dc.relation.ispartofLecture Notes in Computer Science
dc.rights/dk/atira/pure/core/openaccesspermission/open
dc.titleThe Effect of Different Forms of Synaptic Plasticity on Pattern Recognition in the Cerebellar Cortexen
dc.contributor.institutionSchool of Computer Science
dc.contributor.institutionScience & Technology Research Institute
dc.contributor.institutionCentre for Computer Science and Informatics Research
dc.description.statusPeer reviewed
dc.relation.schoolSchool of Computer Science
rioxxterms.versionofrecordhttps://doi.org/10.1007/978-3-642-04921-7_42
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue
herts.rights.accesstyperestrictedAccess


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