Aljama Corrales T, Auñón J I
Department of Electrical Engineering, Universidad Autónoma Metropolitana, México City, México.
IEEE Trans Biomed Eng. 2000 Apr;47(4):472-86. doi: 10.1109/10.828147.
Traditional signal processing techniques have not been suitable in establishing contributions from different sensory paths in multisensory evoked potentials. In this paper, a nonlinear modeling technique is proposed to demonstrate the possible mechanisms of interaction between sensory paths. The nonlinear autoregressive with exogenous inputs (NARX) model is explored to establish a relationship between electrical activities of the brain obtained by unimodal and by bimodal stimulation. The intersensory phenomenon concept is extended using nonlinear system theory and applied to show the possible interactions between the visual and auditory sensory paths. In addition, the paper addresses the compensation phenomenon caused by overparameterization in the NARX algorithm when it is applied to event-related potentials. It is hoped that the nonlinear modeling approach will generate hypotheses about the intersensory interaction phenomenon, improving and advancing its theoretical formulation.
传统的信号处理技术并不适用于确定多感官诱发电位中不同感官通路的作用。本文提出了一种非线性建模技术，以证明感官通路之间相互作用的可能机制。探索了具有外部输入的非线性自回归（NARX）模型，以建立单峰刺激和双峰刺激所获得的大脑电活动之间的关系。利用非线性系统理论扩展了感官间现象的概念，并应用该概念来展示视觉和听觉感官通路之间可能的相互作用。此外，本文还探讨了NARX算法在应用于事件相关电位时因过度参数化而导致的补偿现象。希望这种非线性建模方法能够产生关于感官间相互作用现象的假设，从而改进和推进其理论表述。
