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首页> 外文期刊>Philosophical Transactions of the Royal Society of London, Series B. Biological Sciences >Selective visual processing across competition episodes: a theory of task-driven visual attention and working memory
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Selective visual processing across competition episodes: a theory of task-driven visual attention and working memory

机译:竞赛情节中的选择性视觉处理:任务驱动的视觉注意力和工作记忆的理论

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摘要

The goal of this reviewis to introduce a theory of task-driven visual attention and working memory (TRAM). Based on a specific biased competition model, the ‘theory of visual attention’ (TVA) and its neural interpretation (NTVA), TRAM introduces the following assumption. First, selective visual processing over time is structured in competition episodes. Within an episode, that is, during its first two phases, a limited number of proto-objects are competitively encoded—modulated by the current task—in activation-based visual working memory (VWM). In processing phase 3, relevant VWM objects are transferred via a short-term consolidation into passive VWM. Second, each time attentional priorities change (e.g. after an eye movement), a new competition episode is initiated. Third, if a phase 3 VWM process (e.g. short-term consolidation) is not finished, whereas a new episode is called, a protective maintenance process allows its completion. After a VWM object change, its protective maintenance process is followed by an encapsulation of the VWM object causing attentional resource costs in trailing competition episodes. Viewed from this perspective, a new explanation of key findings of the attentional blink will be offered. Finally, a newsuggestionwill be made as to how VWMitemsmight interactwith visual search processes.
机译:本文的目的是介绍一种任务驱动的视觉注意力和工作记忆(TRAM)的理论。基于特定的有偏见竞争模型,“视觉注意理论”(TVA)及其神经解释(NTVA),TRAM引入了以下假设。首先,随时间变化的选择性视觉处理是在比赛情节中进行的。在情节内,即在其前两个阶段中,有限数量的原型对象被竞争性编码(由当前任务调制)在基于激活的视觉工作记忆(VWM)中。在处理阶段3中,相关的VWM对象通过短期合并转移到被动VWM中。其次,每当注意力优先级发生变化时(例如,在眼睛移动之后),就会启动新的比赛情节。第三,如果第3阶段的VWM流程(例如短期合并)尚未完成,而又调用了新的情节,则可以通过保护性维护流程来完成它。更改VWM对象后,在其保护性维护过程之后,将VWM对象封装起来,从而在比赛后期发生注意资源成本。从这个角度来看,将提供有关注意力眨眼关键发现的新解释。最后,将对VWMitems如何与可视搜索过程进行交互提出一个建议。

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