<journal article>
MODELING OF NERVOUS SYSTEMS BY DOUBLY STOCHASTIC POISSON PROCESSES

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Abstract Neuron impulse sequences are represented by doubly stochastic Poisson Processes and Kalman filtering theory is applied to estimate the random intensity functions of the processes. Models of nervous sy...stems in which exitatory and inhibitory synapses have elementary operation, are studied by simultaneous states equations in the theory. The method of estimation is applied to neuron impulse sequences simultaneously recorded from preoptic area of a monkey by a microelectrode.show more

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Created Date 2009.04.22
Modified Date 2020.10.22

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