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视觉工作记忆中目标特征的存储和绑定。

Storage and binding of object features in visual working memory.

机构信息

UCL Institute of Cognitive Neuroscience & Institute of Neurology, Queen Square, London, UK.

出版信息

Neuropsychologia. 2011 May;49(6):1622-31. doi: 10.1016/j.neuropsychologia.2010.12.023. Epub 2010 Dec 21.

Abstract

An influential conception of visual working memory is of a small number of discrete memory "slots", each storing an integrated representation of a single visual object, including all its component features. When a scene contains more objects than there are slots, visual attention controls which objects gain access to memory. A key prediction of such a model is that the absolute error in recalling multiple features of the same object will be correlated, because features belonging to an attended object are all stored, bound together. Here, we tested participants' ability to reproduce from memory both the color and orientation of an object indicated by a location cue. We observed strong independence of errors between feature dimensions even for large memory arrays (6 items), inconsistent with an upper limit on the number of objects held in memory. Examining the pattern of responses in each dimension revealed a gaussian distribution of error centered on the target value that increased in width under higher memory loads. For large arrays, a subset of responses were not centered on the target but instead predominantly corresponded to mistakenly reproducing one of the other features held in memory. These misreporting responses again occurred independently in each feature dimension, consistent with 'misbinding' due to errors in maintaining the binding information that assigns features to objects. The results support a shared-resource model of working memory, in which increasing memory load incrementally degrades storage of visual information, reducing the fidelity with which both object features and feature bindings are maintained.

摘要

视觉工作记忆的一个有影响力的概念是,存在少量离散的记忆“插槽”,每个插槽存储单个视觉对象的综合表示,包括其所有组成特征。当场景包含的对象数量超过插槽数量时,视觉注意力会控制哪些对象可以访问记忆。这种模型的一个关键预测是,同一对象的多个特征的绝对错误将相关联,因为属于被注意对象的特征都被存储在一起。在这里,我们测试了参与者从记忆中再现位置提示指示的对象的颜色和方向的能力。即使对于大的记忆数组(6 个项目),我们也观察到特征维度之间的错误具有很强的独立性,这与记忆中存储的对象数量的上限不一致。检查每个维度的响应模式显示出以目标值为中心的误差呈高斯分布,随着记忆负载的增加,误差分布的宽度增加。对于较大的数组,一部分响应不是以目标为中心,而是主要对应于错误地再现记忆中保存的其他特征之一。这些错误报告的响应再次在每个特征维度上独立发生,这与由于维持将特征分配给对象的绑定信息的错误而导致的“绑定错误”一致。结果支持工作记忆的共享资源模型,其中增加记忆负载会逐渐降低视觉信息的存储,从而降低对象特征和特征绑定的保真度。

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