| dc.contributor.author | Bampasakis, Dimitris | |
| dc.contributor.author | Maex, Reinoud | |
| dc.contributor.author | Davey, Neil | |
| dc.contributor.author | Steuber, Volker | |
| dc.date.accessioned | 2014-11-04T11:44:29Z | |
| dc.date.available | 2014-11-04T11:44:29Z | |
| dc.date.issued | 2014-07-21 | |
| dc.identifier.citation | Bampasakis , D , Maex , R , Davey , N & Steuber , V 2014 , ' Determinants of gain modulation enabled by short-term depression at an inhibitory cerebellar synapse ' , BMC Neuroscience , vol. 15 , no. Supp 1 , O11 . https://doi.org/10.1186/1471-2202-15-S1-O11 | |
| dc.identifier.issn | 1471-2202 | |
| dc.identifier.other | PURE: 2935984 | |
| dc.identifier.other | PURE UUID: 5647bdaf-e331-4862-b2ce-052a998f8bcb | |
| dc.identifier.uri | http://hdl.handle.net/2299/14660 | |
| dc.description | Abstract from the 23rd Annual Computational Neuroscience Meeting: CNS 2014. © 2014 Bampasakis 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 | Neurons adapt rapidly the slope, also known as gain, of their input-output function to time-varying conditions. Gain modulation is a prominent mechanism in many brain processes, such as auditory processing and attention scaling of orientation tuning curves. | en |
| dc.language.iso | eng | |
| dc.relation.ispartof | BMC Neuroscience | |
| dc.title | Determinants of gain modulation enabled by short-term depression at an inhibitory cerebellar synapse | 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 | Department of Computer Science | |
| dc.contributor.institution | School of Physics, Engineering & Computer Science | |
| dc.contributor.institution | Biocomputation Research Group | |
| dc.description.status | Peer reviewed | |
| rioxxterms.version | VoR | |
| rioxxterms.versionofrecord | https://doi.org/10.1186/1471-2202-15-S1-O11 | |
| rioxxterms.type | Other | |
| herts.preservation.rarelyaccessed | true | |
