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学习采样:眼动追踪和 fMRI 指标在物体感知变化。

Learning to sample: eye tracking and fMRI indices of changes in object perception.

机构信息

Brain and Cognitive Science Department, University of Rochester, MelioraHall, Rochester, NY 14627-0268, USA.

出版信息

J Cogn Neurosci. 2012 Oct;24(10):2030-42. doi: 10.1162/jocn_a_00259. Epub 2012 Aug 20.

DOI:10.1162/jocn_a_00259
PMID:22721373
Abstract

We used an fMRI/eye-tracking approach to examine the mechanisms involved in learning to segment a novel, occluded object in a scene. Previous research has suggested a role for effective visual sampling and prior experience in the development of mature object perception. However, it remains unclear how the naive system integrates across variable sampled experiences to induce perceptual change. We generated a Target Scene in which a novel occluded Target Object could be perceived as either "disconnected" or "complete." We presented one group of participants with this scene in alternating sequence with variable visual experience: three Paired Scenes consisting of the same Target Object in variable rotations and states of occlusion. A second control group was presented with similar Paired Scenes that did not incorporate the Target Object. We found that, relative to the Control condition, participants in the Training condition were significantly more likely to change their percept from "disconnected" to "connected," as indexed by pretraining and posttraining test performance. In addition, gaze patterns during Target Scene inspection differed as a function of variable object exposure. We found increased looking to the Target Object in the Training compared with the Control condition. This pattern was not restricted to participants who changed their initial "disconnected" object percept. Neuroimaging data suggest an involvement of the hippocampus and BG, as well as visual cortical and fronto-parietal regions, in using ongoing regular experience to enable changes in amodal completion.

摘要

我们采用 fMRI/眼动追踪方法,研究了在场景中学习分割新的、被遮挡物体的机制。先前的研究表明,有效的视觉采样和先前的经验在成熟物体感知的发展中起着作用。然而,目前尚不清楚原始系统如何整合不同的采样经验,以引起感知变化。我们生成了一个目标场景,其中一个新的被遮挡的目标物体可以被感知为“不连续”或“完整”。我们向一组参与者交替呈现这个场景,他们的视觉体验是不同的:三个成对的场景,包含相同的目标物体,以不同的角度和遮挡状态呈现。第二组对照组呈现的是类似的、不包含目标物体的成对场景。我们发现,与对照组相比,在训练条件下的参与者更有可能从“不连续”转变为“连续”,这可以通过预训练和后训练测试表现来衡量。此外,目标场景检查期间的注视模式也因物体暴露的变化而不同。与对照组相比,我们发现训练组中对目标物体的注视增加了。这种模式不仅局限于那些改变了最初“不连续”物体感知的参与者。神经影像学数据表明,海马体和基底神经节,以及视觉皮质和额顶叶区域,参与了利用持续的规则经验来实现模态间完整性的变化。

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How Does Experience Shape Early Development? Considering the Role of Top-Down Mechanisms.经验如何塑造早期发展?论自上而下机制的作用。
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Statistical learning is constrained to less abstract patterns in complex sensory input (but not the least).
统计学习在复杂的感官输入中受限于不那么抽象的模式(但并非最不抽象的模式)。
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