Title :
Identification of synaptic systems in multi-input stimuli and single-output point event response
Author_Institution :
Dept. of Inf. Sci., Toho Univ., Chiba, Japan
Abstract :
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
Keywords :
Gaussian noise; Monte Carlo methods; Poisson distribution; bioelectric potentials; neurophysiology; physiological models; white noise; Monte Carlo simulations; action potentials; biological systems; cell membranes; doubly stochastic Poisson processes; identification; multi-input stimuli; single-output point event response; synaptic systems; Biological system modeling; Biological systems; Cells (biology); Gaussian noise; Gaussian processes; Linear systems; Mathematical model; Monte Carlo methods; Statistics; Stochastic systems;
Conference_Titel :
[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-5674-8
DOI :
10.1109/IEMBS.1999.804146
