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 discussed.

Rights

URN

URN:NBN:SI:doc-GUN5594M

COBISSID

24113369

Added

16.09.2009

Metadata

Citation

APA:

Beneš, Viktor, Frcalová, Blažena (2008). Modelling and simulation of a neurophysiological experiment by spatio-temporal point processes. Image analysis and stereology, volume 27, issue 1, str. 47-52. URN:NBN:SI:doc-GUN5594M from http://www.dlib.si

MLA:

Beneš, Viktor, Frcalová, Blažena. "Modelling and simulation of a neurophysiological experiment by spatio-temporal point processes." Image analysis and stereology volume 27. issue 1 (2008) str. 47-52.
<http://www.dlib.si/?URN=URN:NBN:SI:doc-GUN5594M>

Image analysis & stereology
2000-
(Assembly record)