Items for "Random point process"

Estimation of Parameters in Shot-Noise-Driven Doubly Stochastic Poisson Processes Using the EM Algorithm Modeling of Pre- and Postsynaptic Spike Trains

OBJECTIVES: To estimate the parameters, the impulse response (IR) functions of some linear time-invariant systems generating intensity processes, in Shot-Noise-Driven Doubly Stochastic Poisson Process (SND-DSPP) in which multivariate presynaptic spike trains and postsynaptic spike trains can be assumed to be modeled by the SND-DSPPs...

Keywords: Random point process, EM algorithm, computer simulation, fluctuation, neural spike trains