38 KB316 KB20 KB200020242008Beneš, ViktorFrcalová, Blaženaštevilka:1letnik:276 stranistr. 47-52ISSN:1580-3139COBISSID:24113369URN:URN:NBN:SI:doc-GUN5594MenDruštvo za stereologijo in kvantitativno analizo slike, Medicinska fakultetaImage analysis and stereologyComputer SimulationGibanjeHipokampusHippocampusMovementnevrofiziologijaPodganeProstorska zaznavaRačunalniška simulacijaRatsSpace Perceptionstohastični modeliModelling and simulation of a neurophysiological experiment by spatio-temporal point processes|We present a stochastic model of an experimentmonitoring the spiking activity of a place cell of hippocampus of an experimental animal moving in an arena. Doubly stochastic spatio-temporal point process is used to model and quantify overdispersion. Stochastic intensity is modelled by a Lévy based random field while the animal path is simplified to a discrete random walk. In a simulationstudy first a method suggested previously is used. Then it is shown that a solution of the filtering problem yields the desired inference to the random intensity. Two approaches are suggested and the new one based on finitepoint process density is applied. Using Markov chain Monte Carlo we obtain numerical results from the simulated model. The methodology is discussedTEXTznanstveno časopisjejournalsSlovenian National E-content AggregatorNational and University Library of SloveniaDruštvo za stereologijo in kvantitativno analizo slike