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知识驱动的对比度增益控制具有两种不同的皮层电活动标记。

Knowledge-Driven Contrast Gain Control is Characterized by Two Distinct Electrocortical Markers.

作者信息

Misić Bratislav V, Schneider Bruce A, McIntosh Anthony R

机构信息

Rotman Research Institute, Baycrest Centre Toronto, Canada.

出版信息

Front Hum Neurosci. 2010 Jan 27;3:78. doi: 10.3389/neuro.09.078.2009. eCollection 2010.

Abstract

Sensitivity to variations in luminance (contrast) is fundamental to perception because contrasts define the edges and textures of visual objects. Recent research has shown that contrast sensitivity, in addition to being controlled by purely stimulus-driven mechanisms, is also affected by expectations and prior knowledge about the contrast of upcoming stimuli. The ability to adjust contrast sensitivity based on expectations and prior knowledge could help to maximize the information extracted when scanning familiar visual scenes. In the present study we used the event-related potentials (ERP) technique to resolve the stages that mediate knowledge-driven aspects of contrast gain control. Using groupwise independent components analysis and multivariate partial least squares, we isolated two robust spatiotemporal patterns of electrical brain activity associated with preparation for upcoming targets whose contrast was predicted by a cue. The patterns were sensitive to the informative value of the cue. When the cues were informative, these patterns were also able to differentiate among cues that predicted low-contrast targets and cues that predicted high-contrast targets. Both patterns were localized to parts of occipitotemporal cortex, and their morphology, latency, and topography resembled P2/N2 and P3 potentials. These two patterns provide electrophysiological markers of knowledge-driven preparation for impending changes in contrast and shed new light on the manner in which top-down factors modulate sensory processing.

摘要

对亮度变化(对比度)的敏感性是感知的基础,因为对比度决定了视觉对象的边缘和纹理。最近的研究表明,对比度敏感性除了受纯粹的刺激驱动机制控制外,还受到对即将到来的刺激的对比度的预期和先验知识的影响。基于预期和先验知识调整对比度敏感性的能力有助于在扫描熟悉的视觉场景时最大化提取的信息。在本研究中,我们使用事件相关电位(ERP)技术来解析介导对比度增益控制的知识驱动方面的阶段。使用分组独立成分分析和多元偏最小二乘法,我们分离出两种稳健的时空脑电活动模式,它们与对即将到来的目标的准备有关,这些目标的对比度由一个线索预测。这些模式对线索的信息价值敏感。当线索具有信息性时,这些模式还能够区分预测低对比度目标的线索和预测高对比度目标的线索。这两种模式都定位于枕颞叶皮质的部分区域,它们的形态、潜伏期和地形类似于P2/N2和P3电位。这两种模式为即将到来的对比度变化的知识驱动准备提供了电生理标记,并为自上而下的因素调节感觉处理的方式提供了新的线索。

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