Statistical approach in search for optimal signal in simple olfactory neuronal models
type: Item
instance of: scholarly article
title: Statistical approach in search for optimal signal in simple olfactory neuronal models
zbMATH Open document ID: 1143.92006
published in: Mathematical Biosciences
publication date: 2008-08-27T00:00:00Z
Mathematics Subject Classification ID: 92C20
Mathematics Subject Classification ID: 60J70
Mathematics Subject Classification ID: 91E30
zbMATH DE Number: 5316877
zbMATH Keywords: Fisher information
zbMATH Keywords: olfactory neuron
zbMATH Keywords: optimal signal
zbMATH Keywords: stochastic reactions
zbMATH Keywords: Ornstein-Uhlenbeck process
author: Ondrej Pokora
author: Petr Lansky
MaRDI profile type: Publication
full work available at URL: j.mbs.2008.02.010
OpenAlex ID: W2051152330
Wikidata QID: Q51888769
cites work: Q4304317
cites work: Q3995249
cites work: Q4076577
cites work: Modelling of drug receptor interaction with birth and death processes
cites work: Optimum signal in a diffusion leaky integrate-and-fire neuronal model
cites work: Optimal Signal Estimation in Neuronal Models
cites work: Receptor heterogeneity and its effect on sensitivity and coding range in olfactory sensory neurons
cites work: Q3672893
cites work: Q5671959
cites work: Coding of stimulus intensity in an olfactory receptor neuron: Role of neuron spatial extent and passive dendritic backpropagation of action potentials
cites work: Stochastic pulse stimulation in chemoreceptors and its properties.
cites work: A single spike suffices: the simplest form of stochastic resonance in model neurons
cites work: Representational accuracy of stochastic neural populations
DOI: 10.1016/J.MBS.2008.02.010
description: scientific article; zbMATH DE number 5316877