A simulation approach to the two-point stochastic model of olfactory neurons
Jazyk angličtina Země Slovensko Médium print
Typ dokumentu časopisecké články
PubMed
7797044
Knihovny.cz E-zdroje
- MeSH
- akční potenciály fyziologie MeSH
- biofyzika MeSH
- biofyzikální jevy MeSH
- buněčná smrt fyziologie MeSH
- čichové buňky fyziologie MeSH
- dendrity fyziologie MeSH
- elektrofyziologie MeSH
- lidé MeSH
- membránové potenciály fyziologie MeSH
- modely neurologické * MeSH
- počítačová simulace MeSH
- stochastické procesy MeSH
- zvířata MeSH
- Check Tag
- lidé MeSH
- zvířata MeSH
- Publikační typ
- časopisecké články MeSH
Neurons need two basic properties to carry out their functions. The first is their ability to transduce the changes of the dendritic potential and to sum them in spatial and temporal dimensions. The second is their ability to elicit an action potential which can be transmitted along the axon at a long distance. This simulation study demonstrates how these two properties can be retracted to the two points of the neuron model. First we discussed the definition and general properties of the so-called two-point or spiking neuron model. Then a simple simulated solution of the first passage time problem of the birth and death process applied in this model was discussed. In case of olfactory cells, the model exhibited a behaviour similar to the experimental data with parameter values corresponding to the suprathreshold concentrations of an odorant.
Ergodicity and parameter estimates in auditory neural circuits