Determining the degree of chaos from analysis of ISI time series in the nervous system: A comparison between correlation dimension and nonlinear forecasting methods (Q1386325)
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scientific article; zbMATH DE number 1150066
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Determining the degree of chaos from analysis of ISI time series in the nervous system: A comparison between correlation dimension and nonlinear forecasting methods |
scientific article; zbMATH DE number 1150066 |
Statements
Determining the degree of chaos from analysis of ISI time series in the nervous system: A comparison between correlation dimension and nonlinear forecasting methods (English)
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20 September 1998
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chaotic time series analysis
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correlation dimension
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nonlinear forecasting
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interspike intervals
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action potential
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nerve fiber
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Lyapunov exponent
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0.8653179
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0.8562254
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0.85370296
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0.85176796
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0.8470384
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0.84007496
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