Wiener analysis of spike transmission by identified molluscan neurons

Autor:	V. L. Cherkasskii, B. Ya. Pyatigorskii, V. A. Chinarov
Rok vydání:	1984
Předmět:	Communication Quantitative Biology::Neurons and Cognition Physiology business.industry General Neuroscience Spike train Allowance (engineering) Term (time) Nonlinear system Standard error Transmission (telecommunications) Outflow Spike (software development) business Algorithm Mathematics
Zdroj:	Neurophysiology. 16:42-45
ISSN:	1573-9007 0090-2977
Popis:	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:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::892370e003ff690fd2dac33eadca1c76 https://doi.org/10.1007/bf01052825 Zobrazit plný text záznamu Full text from SpringerLink