Liberati D, Bedarida L, Brandazza P, Cerutti S
Dipartimento di Bioingegneria, Politecnico di Milano, Italy.
IEEE Trans Biomed Eng. 1991 Sep;38(9):879-90. doi: 10.1109/10.83608.
This paper addresses the methodological problem of enhancing selective responses from the central nervous system when two (or more) different sensorial stimuli are simultaneously presented to the subject. In particular, contemporaneous visual and somato-sensory stimulation is considered and a model of signal and noise interaction is developed for the processing of the evoked responses. An ARXX parametric model (AutoRegressive with two eXogenous inputs) is introduced and a least squares algorithm is used to determine the selective response of the two neural systems from the overall evoked response. Such an analysis may be also carried out on a sweep-by-sweep basis. Applications of this method are the following ones: i) modeling of multisensory potentials; ii) description of facilitation or defacilitation phenomena in multitasking experiments; iii) analysis of cortico-cortical neural interactions.
本文探讨了在向受试者同时呈现两种（或更多）不同感觉刺激时，增强中枢神经系统选择性反应的方法学问题。特别考虑了同时进行的视觉和躯体感觉刺激，并针对诱发反应的处理开发了信号与噪声相互作用模型。引入了ARXX参数模型（具有两个外部输入的自回归模型），并使用最小二乘法算法从总体诱发反应中确定两个神经系统的选择性反应。这种分析也可以逐次扫描进行。该方法的应用如下：i）多感觉电位建模；ii）多任务实验中易化或去易化现象的描述；iii）皮质-皮质神经相互作用分析。
