A review of the methods for signal estimation in stochastic diffusion leaky integrate-and-fire neuronal models
type: Item
instance of: scholarly article
title: A review of the methods for signal estimation in stochastic diffusion leaky integrate-and-fire neuronal models
zbMATH Open document ID: 1154.92012
author: Petr Lansky
author: Susanne Ditlevsen
published in: Biological Cybernetics
publication date: 2009-02-03T00:00:00Z
Mathematics Subject Classification ID: 92C20
Mathematics Subject Classification ID: 60J70
zbMATH DE Number: 5502374
zbMATH Keywords: Ornstein-Uhlenbeck
zbMATH Keywords: Statistical inference
zbMATH Keywords: Feller process
zbMATH Keywords: First-passage times
zbMATH Keywords: Maximum likelihood
zbMATH Keywords: Moment method
zbMATH Keywords: Laplace transform
zbMATH Keywords: Fortets integral equation
zbMATH Keywords: Interspike intervals
MaRDI profile type: Publication
full work available at URL: s00422-008-0237-x
OpenAlex ID: W2165577901
cites work: Survival models based on the Ornstein-Uhlenbeck process
cites work: Representations of the First Hitting Time Density of an Ornstein-Uhlenbeck Process1
cites work: Q4396365
cites work: Q3150773
cites work: Maximum likelihood analysis of spike trains of interacting nerve cells
cites work: Lapicque's 1907 paper: from frogs to integrate-and-fire
cites work: A review of the integrate-and-fire neuron model: I. Homogeneous synaptic input
cites work: A theory of the term structure of interest rates
cites work: A result on the first-passage time of an Ornstein-Uhlenbeck process
cites work: Estimation of the input parameters in the Feller neuronal model
cites work: Boundary-crossing probabilities for the Brownian motion and Poisson processes and techniques for computing the power of the Kolmogorov-Smirnov test
cites work: Les fonctions aléatoires du type de Markoff associees à certaines équations linéaires aux dérivées partielles du type parabolique
cites work: Diffusion approximation and first-passage-time problem for a model neuron. III: A birth-and-death process approach
cites work: On the parameter estimation for diffusion models of single neuron's activities. I: Application to spontaneous activities of mesencephalic reticular formation cells in sleep and waking states
cites work: Predicting spike timing of neocortical pyramidal neurons by simple threshold models
cites work: Q3923307
cites work: Statistical inference for ergodic diffusion processes.
cites work: Diffusion approximation of the neuronal model with synaptic reversal potentials
cites work: On the comparison of Feller and Ornstein-Uhlenbeck models for neural activity
cites work: The parameters of the stochastic leaky integrate-and-fire neuronal model
cites work: Q3215519
cites work: Exponential trends of Ornstein–Uhlenbeck first-passage-time densities
cites work: Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Encoding Model
cites work: Parameters of Spike Trains Observed in a Short Time Window
cites work: Parameters of the Diffusion Leaky Integrate-and-Fire Neuronal Model for a Slowly Fluctuating Signal
cites work: Q4947392
cites work: Q4127741
cites work: The Ornstein-Uhlenbeck process as a model for neuronal activity. I. Mean and variance of the firing time
cites work: First-passage-time density and moments of the ornstein-uhlenbeck process
cites work: Q4704751
cites work: On the First Passage Time Probability Problem
cites work: Introduction to Theoretical Neurobiology
Wikidata QID: Q37170372
DBLP publication ID: journals/bc/LanskyD08
DOI: 10.1007/S00422-008-0237-X
description: scientific article; zbMATH DE number 5502374