Urakawa Tomokazu, Aragaki Tomoya, Araki Osamu
Department of Applied Physics, Faculty of Science, Tokyo University of Science, 6-3-1 Niijyuku, Katsushika-ku 125-8585, Tokyo, Japan.
Department of Applied Physics, Faculty of Science, Tokyo University of Science, 6-3-1 Niijyuku, Katsushika-ku 125-8585, Tokyo, Japan.
Neurosci Lett. 2017 Jul 13;653:92-96. doi: 10.1016/j.neulet.2017.05.041. Epub 2017 May 24.
Based on the predictive coding framework, the present behavioral study focused on the automatic visual change detection process, which yields a concomitant prediction error, as one of the visual processes relevant to the exogenously-driven perceptual alternation of a bistable image. According to this perspective, we speculated that the automatic visual change detection process with an enhanced prediction error is relevant to the greater induction of exogenously-driven perceptual alternation and attempted to test this hypothesis. A modified version of the oddball paradigm was used based on previous electroencephalographic studies on visual change detection, in which the deviant and standard defined by the bar's orientation were symmetrically presented around a continuously presented Necker cube (a bistable image). By manipulating inter-stimulus intervals and the number of standard repetitions, we set three experimental blocks: HM, IM, and LM blocks, in which the strength of the prediction error to the deviant relative to the standard was expected to gradually decrease in that order. The results obtained showed that the deviant significantly increased perceptual alternation of the Necker cube over that by the standard from before to after the presentation of the deviant. Furthermore, the differential proportion of the deviant relative to the standard significantly decreased from the HM block to the IM and LM blocks. These results are consistent with our hypothesis, supporting the involvement of the automatic visual change detection process in the induction of exogenously-driven perceptual alternation.
基于预测编码框架,本行为学研究聚焦于自动视觉变化检测过程,该过程会产生一个伴随的预测误差,它是与双稳态图像的外源性驱动感知交替相关的视觉过程之一。根据这一观点,我们推测预测误差增强的自动视觉变化检测过程与外源性驱动感知交替的更大诱导有关,并试图验证这一假设。基于先前关于视觉变化检测的脑电图研究,使用了一种修改版的oddball范式,其中由条的方向定义的偏差刺激和标准刺激围绕一个持续呈现的内克尔立方体(一种双稳态图像)对称呈现。通过操纵刺激间隔和标准刺激的重复次数,我们设置了三个实验块:HM、IM和LM块,预计在这些实验块中,相对于标准刺激,对偏差刺激的预测误差强度会按此顺序逐渐降低。所得结果表明,与标准刺激呈现之前相比,偏差刺激显著增加了内克尔立方体的感知交替。此外,从HM块到IM块和LM块,偏差刺激相对于标准刺激的差异比例显著降低。这些结果与我们的假设一致,支持了自动视觉变化检测过程参与外源性驱动感知交替诱导的观点。