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运动致盲作为一个噪声兴奋系统。

Motion-induced blindness as a noisy excitable system.

机构信息

Department of Brain Sciences, The Weizmann Institute of Science, Rehovot, Israel.

Department of Brain Sciences, The Weizmann Institute of Science, Rehovot, Israel.

出版信息

Vision Res. 2024 Mar;216:108363. doi: 10.1016/j.visres.2024.108363. Epub 2024 Jan 31.

Abstract

Perceptual disappearance of a salient target induced by a moving texture mask (MIB: Motion-Induced Blindness) is a striking effect, currently poorly understood. Here, we investigated whether the dynamics of MIB qualify as an excitable system. Excitable systems exhibit fast switches from one state to another (e.g., visible/invisible) induced by an above-threshold perturbation and stimulus-independent dynamics, followed by a refractory period. In the experiments, disappearance was induced by masks consisting of slowly rotating radial bars with a gap at the target location, leading to periodic perturbation of the visual field around the target (a bright parafoveal spot). When passed around the target location, masks frequently induced an abrupt target disappearance, pointing to locality. As expected from excitable systems, the disappearance time was not affected by additional bars crossing the target during invisibility, and there was little dependence on the mask configuration. After the target reappeared, it stayed for at least 0.5-2 s (the refractory period). Therefore, the dynamics governing MIB represent an example of an excitable system, where the transition to the invisible state is induced by the mask. The dynamics that follow were determined mostly by the internal network properties.

摘要

显著目标的感知消失是由运动纹理掩模(MIB:运动诱导的盲视)引起的一种引人注目的效应,目前对此了解甚少。在这里,我们研究了 MIB 的动力学是否符合激活动力学系统。激活动力学系统表现出快速从一种状态切换到另一种状态(例如可见/不可见),这是由超过阈值的外部刺激引起的,并且具有与刺激无关的动力学,随后是不应期。在实验中,消失是由在目标位置具有间隙的缓慢旋转的径向条组成的掩模引起的,这导致了目标周围视觉场的周期性扰动(亮的旁中心区点)。当掩模绕过目标位置时,经常会突然引起目标消失,这表明具有局域性。正如激活动力学系统所预期的那样,在不可见期间,目标上额外的条穿过不会影响消失时间,并且对掩模的配置依赖性很小。目标再次出现后,它至少会保持 0.5-2 s(不应期)。因此,控制 MIB 的动力学代表了激活动力学系统的一个例子,其中向不可见状态的转变是由掩模引起的。随后的动力学主要由内部网络特性决定。

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