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Description
  • Práce navrhuje nový stochastický model (dvojně stochastický časoprostorový bodový proces) pro popis aktivity místových neuronů v hipokampu potkana. Parametry modelu jsou odhadnuty na základě experimentálních dat (cs)
  • The paper is a case study monitoring the spiking activity of a place cell of hippocampus of a rat moving in an arena. Real data are evaluated using a new statistical methodology. Experimentally observed overdispersion suggests a doubly stochastic spatio-temporal point process model of the time of spikes and the location of the rat. The inference of the driving intensity leads to a nonlinear filtering problem. Jump processes are used as parametric models of the driving intensity which enables the solution of the filtering problem by means of Bayesian Markov chain Monte Carlo methods. Simultaneously the parameters of the model are estimated. Model selection, numerical results and receptive field plasticity are discussed
  • The paper is a case study monitoring the spiking activity of a place cell of hippocampus of a rat moving in an arena. Real data are evaluated using a new statistical methodology. Experimentally observed overdispersion suggests a doubly stochastic spatio-temporal point process model of the time of spikes and the location of the rat. The inference of the driving intensity leads to a nonlinear filtering problem. Jump processes are used as parametric models of the driving intensity which enables the solution of the filtering problem by means of Bayesian Markov chain Monte Carlo methods. Simultaneously the parameters of the model are estimated. Model selection, numerical results and receptive field plasticity are discussed (en)
Title
  • Overdispersion in the Place Cell Discharge – Stochastic Modelling and Inference
  • Naddisperze v aktivitě místových neuronů – stochastické modelování a implikace (cs)
  • Overdispersion in the Place Cell Discharge – Stochastic Modelling and Inference (en)
skos:prefLabel
  • Overdispersion in the Place Cell Discharge – Stochastic Modelling and Inference
  • Naddisperze v aktivitě místových neuronů – stochastické modelování a implikace (cs)
  • Overdispersion in the Place Cell Discharge – Stochastic Modelling and Inference (en)
skos:notation
  • RIV/67985823:_____/08:00311165!RIV09-AV0-67985823
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(IAA101120604), Z(AV0Z50110509), Z(MSM0021620839)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 385588
http://linked.open...ai/riv/idVysledku
  • RIV/67985823:_____/08:00311165
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • overdispersion; place cell; spatio-temporal point process (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [25397D81F4E6]
http://linked.open...v/mistoKonaniAkce
  • Vietri sul Mare
http://linked.open...i/riv/mistoVydani
  • Melville
http://linked.open...i/riv/nazevZdroje
  • Collective Dynamics: Topics on Competition and Cooperation in the Biosciences
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Klement, Daniel
  • Lánský, Petr
  • Beneš, V.
  • Frcalová, B.
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • American Institute of Physics
https://schema.org/isbn
  • 978-0-7354-0552-3
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