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Effect of stimulation on the input parameters of stochastic leaky integrate-and-fire neuronal model
P. Lansky, P. Sanda, J. He,
Language English Country France
Document type Journal Article, Research Support, Non-U.S. Gov't
- MeSH
- Action Potentials physiology MeSH
- Acoustic Stimulation methods MeSH
- Time Factors MeSH
- Electroencephalography MeSH
- Membrane Potentials physiology MeSH
- Models, Neurological MeSH
- Guinea Pigs MeSH
- Neural Pathways physiology MeSH
- Neurons classification physiology MeSH
- Signal Processing, Computer-Assisted MeSH
- Reaction Time physiology MeSH
- Stochastic Processes MeSH
- Animals MeSH
- Check Tag
- Guinea Pigs MeSH
- Animals MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
The Ornstein-Uhlenbeck neuronal model is specified by two types of parameters. One type corresponds to the properties of the neuronal membrane, whereas the second type (local average rate of the membrane depolarization and its variability) corresponds to the input of the neuron. In this article, we estimate the parameters of the second type from an intracellular record during neuronal firing caused by stimulation (audio signal). We compare the obtained estimates with those from the spontaneous part of the record. As predicted from the model construction, the values of the input parameters are larger for the periods when neuron is stimulated than for the spontaneous ones. Finally, the firing regimen of the model is checked. It is confirmed that the neuron is in the suprathreshold regimen during the stimulation.
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- $a The Ornstein-Uhlenbeck neuronal model is specified by two types of parameters. One type corresponds to the properties of the neuronal membrane, whereas the second type (local average rate of the membrane depolarization and its variability) corresponds to the input of the neuron. In this article, we estimate the parameters of the second type from an intracellular record during neuronal firing caused by stimulation (audio signal). We compare the obtained estimates with those from the spontaneous part of the record. As predicted from the model construction, the values of the input parameters are larger for the periods when neuron is stimulated than for the spontaneous ones. Finally, the firing regimen of the model is checked. It is confirmed that the neuron is in the suprathreshold regimen during the stimulation.
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