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dc.contributor.authorBurkitt, AN
dc.contributor.authorClark, GM
dc.date.available2014-05-21T20:34:18Z
dc.date.issued2001-12-01
dc.identifierhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000172069500001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=d4d813f4571fa7d6246bdc0dfeca3a1c
dc.identifier.citationBurkitt, A. N. & Clark, G. M. (2001). Synchronization of the neural response to noisy periodic synaptic input. NEURAL COMPUTATION, 13 (12), pp.2639-2672. https://doi.org/10.1162/089976601317098475.
dc.identifier.issn0899-7667
dc.identifier.urihttp://hdl.handle.net/11343/27583
dc.descriptionA. N. Burkitt and G.M. Clark, 'Synchronization of the Neural Response to Noisy Periodic Synaptic Input', Neural Computation, 13:12 (December, 2001), pp. 2639-2672. © 2001 by the Massachusetts Institute of Technology. http://www.mitpressjournals.org.ezp.lib.unimelb.edu.au/toc/neco/13/12
dc.description.abstractThe timing information contained in the response of a neuron to noisy periodic synaptic input is analyzed for the leaky integrate-and-fire neural model. We address the question of the relationship between the timing of the synaptic inputs and the output spikes. This requires an analysis of the interspike interval distribution of the output spikes, which is obtained in the gaussian approximation. The conditional output spike density in response to noisy periodic input is evaluated as a function of the initial phase of the inputs. This enables the phase transition matrix to be calculated, which relates the phase at which the output spike is generated to the initial phase of the inputs. The interspike interval histogram and the period histogram for the neural response to ongoing periodic input are then evaluated by using the leading eigenvector of this phase transition matrix. The synchronization index of the output spikes is found to increase sharply as the inputs become synchronized. This enhancement of synchronization is most pronounced for large numbers of inputs and lower frequencies of modulation and also for rates of input near the critical input rate. However, the mutual information between the input phase of the stimulus and the timing of output spikes is found to decrease at low input rates as the number of inputs increases. The results show close agreement with those obtained from numerical simulations for large numbers of inputs.
dc.languageEnglish
dc.publisherM I T PRESS
dc.relation.ispartofScientific publications, vol.12, 2000-2001, no.1255
dc.subjectotolaryngology
dc.subjectsynaptic input
dc.subjectoutput spikes
dc.subjectintegrated input
dc.titleSynchronization of the neural response to noisy periodic synaptic input
dc.typeJournal Article
dc.identifier.doi10.1162/089976601317098475
melbourne.source.titleNEURAL COMPUTATION
melbourne.source.volume13
melbourne.source.issue12
melbourne.source.pages2639-2672
melbourne.publicationid1561
melbourne.elementsid247681
melbourne.contributor.authorBurkitt, Anthony
melbourne.contributor.authorClark, Graeme
dc.identifier.eissn1530-888X
melbourne.accessrightsOpen Access


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