ISSN:
1432-0770
Quelle:
Springer Online Journal Archives 1860-2000
Thema:
Biologie
,
Informatik
,
Physik
Notizen:
Abstract Neuronal spike trains are regarded as stochastic point processes. To estimate the order and value of Markov processes of the interspike interval sequences with small number of samples, we have proposed a new measure of simplified statistical dependencyd m. This measure is derived from statistical dependencyd m (T=τ) in the case of Gaussian process, and is obtained by the standard deviation and the matrices of the serial correlation coefficients. Sinced m is a parametric measure, it is calculated from the interval sequence transformed into the aormal distribution. We designate this as normalized simplified statistical dependencyNd m. The order and value of the maintained spike sequences recorded from the mesencephalic reticular formation, red nucleus, optic tract, and lateral geniculate nucleus neurons in cats have been estimated. It is indicated that there is a considerable correspondence between the value ofNd m and that ofd m (T=τ). This suggests thatNd m is useful in practice to estimate the order and value of Markov process with small number of samples.
Materialart:
Digitale Medien
URL:
http://dx.doi.org/10.1007/BF00326689
