dc.contributor.author | Steuber, Volker | |
dc.contributor.author | Willshaw, D. | |
dc.contributor.author | van Ooyen, A. | |
dc.date.accessioned | 2008-05-20T08:38:04Z | |
dc.date.available | 2008-05-20T08:38:04Z | |
dc.date.issued | 2006 | |
dc.identifier.citation | Steuber , V , Willshaw , D & van Ooyen , A 2006 , ' Generation of time delays: simplified models of intracellular signalling in cerebellar Purkinje cells ' , Network: Computation in Neural Systems , vol. 17 , no. 2 , pp. 173-191 . | |
dc.identifier.issn | 0954-898X | |
dc.identifier.other | dspace: 2299/2026 | |
dc.identifier.uri | http://hdl.handle.net/2299/2026 | |
dc.description.abstract | In many neuronal systems, information is encoded in temporal spike patterns. The recognition and storage of temporal patterns requires the generation and modulation of time delays between inputs and outputs. In cerebellar Purkinje cells, stimulation of metabotropic glutamate receptors (mGluRs) results in a delayed calcium and voltage response that has been implicated in classical conditioning and temporal pattern recognition. Here, we analyse and simplify a complex model of the intracellular signalling network that has been proposed as a substrate for this delayed response. We systematically simplify the original model, present a minimal model of time delay generation, and show that a delayed response can be produced by the combination of negative feedback and autocatalysis, without any intervening signalling steps that would contribute additive delays. The minimal model is analysed using phase plane methods, and classied as an excitable system. We discuss the implication of excitability for computations performed by intracellular signalling networks in general | en |
dc.format.extent | 254369 | |
dc.language.iso | eng | |
dc.relation.ispartof | Network: Computation in Neural Systems | |
dc.title | Generation of time delays: simplified models of intracellular signalling in cerebellar Purkinje cells | en |
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 | Centre of Data Innovation Research | |
dc.contributor.institution | Centre for Future Societies Research | |
dc.description.status | Peer reviewed | |
rioxxterms.type | Journal Article/Review | |
herts.preservation.rarelyaccessed | true | |