| Autor: |
Pyatigorskii, B. Ya., Cherkasskii, V. L., Chinarov, V. A. |
| Zdroj: |
Neurophysiology; January 1984, Vol. 16 Issue: 1 p42-45, 4p |
| Abstrakt: |
A mathematical model of spike train transmission by identified molluscan neurons was obtained by Wiener analysis. Poisson-distributed sequences of near-threshold stimuli were used as input trains for model construction and testing. Assuming that the error of describing responses of the synapse-neuron system purely by mean outflow frequency is 100%, addition of a linear component to the equation of the model reduces this error to 25%, and addition of a term allowing for nonlinear properties of the system reduces it to 16%. Comparison of the standard error of predicted responses of the model to testing stimulus trains and of responses of a real neuron to these same trains showed that the prediction error with allowance for nonlinear properties does not exceed 21%. Choice of adequate criteria for comparing model and experimental results is discussed. |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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