dc.contributor.author | Alva, Parimala | |
dc.contributor.author | Kroos, Lieke | |
dc.contributor.author | Eelkman Rooda, Oscar | |
dc.contributor.author | De Zeeuw, Chris I. | |
dc.contributor.author | Adams, R.G. | |
dc.contributor.author | Davey, N. | |
dc.contributor.author | Hoebeek, Freek E. | |
dc.contributor.author | Steuber, Volker | |
dc.date.accessioned | 2014-11-04T11:59:30Z | |
dc.date.available | 2014-11-04T11:59:30Z | |
dc.date.issued | 2014-07-21 | |
dc.identifier.citation | Alva , P , Kroos , L , Eelkman Rooda , O , De Zeeuw , C I , Adams , R G , Davey , N , Hoebeek , F E & Steuber , V 2014 , ' Combining machine learning and simulations of a morphologically realistic model to study modulation of neuronal activity in cerebellar nuclei ' , BMC Neuroscience , vol. 15 , no. Supp 1 , P39 . https://doi.org/10.1186/1471-2202-15-S1-P39 | |
dc.identifier.issn | 1471-2202 | |
dc.identifier.other | ORCID: /0000-0003-0186-3580/work/133139194 | |
dc.identifier.uri | http://hdl.handle.net/2299/14663 | |
dc.description | Abstract from 23rd Annual Computational Neuroscience Meeting: CNS 2014 © 2014 Alva et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http:// creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. | |
dc.description.abstract | Epileptic absence seizures are characterized by synchronized oscillatory activity in the cerebral cortex that can be recorded as so-called spike-and-wave discharges (SWDs) by electroencephalogram. Although the cerebral cortex and the directly connected thalamus are paramount to this particular form of epilepsy, several other parts of the mammalian brain are likely to influence this oscillatory activity. We have recently shown that some of the cerebellar nuclei (CN) neurons, which form the main output of the cerebellum, show synchronized oscillatory activity during episodes of cortical SWDs in two independent mouse models of absence epilepsy [1]. The CN neurons that show this significant correlation with the SWDs are deemed to “participate” in the seizure activity and are therefore used in our current study designed to unravel the potential causes of such oscillatory firing patterns | en |
dc.format.extent | 286207 | |
dc.language.iso | eng | |
dc.relation.ispartof | BMC Neuroscience | |
dc.title | Combining machine learning and simulations of a morphologically realistic model to study modulation of neuronal activity in cerebellar nuclei | en |
dc.contributor.institution | School of Computer Science | |
dc.contributor.institution | Science & Technology Research Institute | |
dc.contributor.institution | Centre for Computer Science and Informatics Research | |
dc.contributor.institution | Biocomputation Research Group | |
dc.description.status | Peer reviewed | |
rioxxterms.versionofrecord | 10.1186/1471-2202-15-S1-P39 | |
rioxxterms.type | Other | |
herts.preservation.rarelyaccessed | true | |