"RIV/67985823:_____/08:00311165!RIV09-AV0-67985823" . "12"^^ . . . "2007-09-24+02:00"^^ . . "Overdispersion in the Place Cell Discharge \u2013 Stochastic Modelling and Inference" . "Frcalov\u00E1, B." . . "4"^^ . . "Pr\u00E1ce navrhuje nov\u00FD stochastick\u00FD model (dvojn\u011B stochastick\u00FD \u010Dasoprostorov\u00FD bodov\u00FD proces) pro popis aktivity m\u00EDstov\u00FDch neuron\u016F v hipokampu potkana. Parametry modelu jsou odhadnuty na z\u00E1klad\u011B experiment\u00E1ln\u00EDch dat"@cs . . . "Naddisperze v aktivit\u011B m\u00EDstov\u00FDch neuron\u016F \u2013 stochastick\u00E9 modelov\u00E1n\u00ED a implikace"@cs . "Collective Dynamics: Topics on Competition and Cooperation in the Biosciences" . . "Bene\u0161, V." . "2"^^ . . "American Institute of Physics" . "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 . "L\u00E1nsk\u00FD, Petr" . . . "978-0-7354-0552-3" . . . "385588" . . "Melville" . "Klement, Daniel" . . "P(IAA101120604), Z(AV0Z50110509), Z(MSM0021620839)" . . "Overdispersion in the Place Cell Discharge \u2013 Stochastic Modelling and Inference" . "Naddisperze v aktivit\u011B m\u00EDstov\u00FDch neuron\u016F \u2013 stochastick\u00E9 modelov\u00E1n\u00ED a implikace"@cs . . . "Vietri sul Mare" . "RIV/67985823:_____/08:00311165" . "Overdispersion in the Place Cell Discharge \u2013 Stochastic Modelling and Inference"@en . "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" . "overdispersion; place cell; spatio-temporal point process"@en . . "[25397D81F4E6]" . . "Overdispersion in the Place Cell Discharge \u2013 Stochastic Modelling and Inference"@en .