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dc.contributor.authorDe Schutter, E.
dc.contributor.authorSteuber, Volker
dc.date.accessioned2011-10-27T09:01:05Z
dc.date.available2011-10-27T09:01:05Z
dc.date.issued2008
dc.identifier.citationDe Schutter , E & Steuber , V 2008 , A European collaboration on cerebellar LTD and pattern recognition . in Advances in Cognitive Neurodynamics : Procs of the Int Conf on Cognitive Neurodynamics, ICCN 2007 . vol. Chap.4 , Springer Nature , pp. 19-22 . https://doi.org/10.1007/978-1-4020-8387-7
dc.identifier.isbn978-1-4020-8386-0
dc.identifier.isbn978-1-4020-8387-7
dc.identifier.otherPURE: 431381
dc.identifier.otherPURE UUID: 467f1818-378a-4604-8706-066ac87625d3
dc.identifier.otherdspace: 2299/3967
dc.identifier.urihttp://hdl.handle.net/2299/6811
dc.description“The original publication is available at www.springerlink.com”. Copyright Springer. DOI: 10.1007/978-1-4020-8387-7_4 [Full text of this article is not available in the UHRA]
dc.description.abstractWe review the main results of a study on how the effects of cerebellar long-term depression are reflected in Purkinje cell spiking. An initial modeling study produced surprising results: when actual spike trains were simulated it was predicted that synaptic depression resulted in an increase of the spiking output. Subsequent collaboration with another team led to the confirmation of the main results using patch clamp recordings in in vitro cerebellar slices, which suggested additional modeling. A third team provided supporting data from in vivo cerebellar recordings. This group effort provides useful insights into ethical and professional issues concerning collaborations between modelers and experimentalists in neuroscience.en
dc.language.isoeng
dc.publisherSpringer Nature
dc.relation.ispartofAdvances in Cognitive Neurodynamics
dc.titleA European collaboration on cerebellar LTD and pattern recognitionen
dc.contributor.institutionCentre for Computer Science and Informatics Research
dc.contributor.institutionDepartment of Computer Science
dc.contributor.institutionSchool of Physics, Engineering & Computer Science
dc.contributor.institutionCentre of Data Innovation Research
dc.contributor.institutionCentre for Future Societies Research
rioxxterms.versionofrecordhttps://doi.org/10.1007/978-1-4020-8387-7
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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