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• W2033788029 abstract "The amplitude of a postsynaptic potential attenuates as it spreads from the synapse to the trigger zone, where spike generation is initiated. Thus, especially in neurons with a large dendritic structure, great variability in synaptically evoked changes of the membrane potential at the trigger zone can be expected. Therefore the randomly distributed magnitudes of jumps caused by input processes were assumed in Stein's neuronal model with reversal potentials. Two distributions, normal and exponential, were applied for this purpose. The normal distribution has no influence on statistical characteristics of the interspike interval (1SI). For the exponential distribution the mean ISI, as well as the coefficient of variation, increases nonlinearly with the parameter of the distribution. The coefficient of variation is limited by the value 1. The estimation of the mean ISI by the method of Smith and Smith (1984) is not applicable for the investigated model." @default.
• W2033788029 created "2016-06-24" @default.
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• W2033788029 date "1992-01-01" @default.
• W2033788029 modified "2023-09-26" @default.
• W2033788029 title "A NEURONAL MODEL WITH VARIABLE SYNAPTIC INPUT EFFECT" @default.
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• W2033788029 doi "https://doi.org/10.1080/01969729208927448" @default.
• W2033788029 hasPublicationYear "1992" @default.
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