Identification of synaptic systems in multi-input stimuli and single-output point event response

Presents a method of identifying synaptic systems from observations of multi-input stimuli and the output point event responses, in which the output point events are modeled by doubly stochastic Poisson processes. Likewise, Monte Carlo simulations illustrate the validity of the proposed method.