Any object-oriented action requires that the object be first brought into the attentional foreground, often through visual search. Outside the laboratory, this would always take place in the presence of a scene representation acquired from ongoing visual exploration. The interaction of scene memory with visual search is still not completely understood. Feature integration theory (FIT) has shaped both research on visual search, emphasizing the scaling of search times with set size when searches entail feature conjunctions, and research on visual working memory through the change detection paradigm. Despite its neural motivation, there is no consistently neural process account of FIT in both its dimensions. We propose such an account that integrates (1) visual exploration and the building of scene memory, (2) the attentional detection of visual transients and the extraction of search cues, and (3) visual search itself. The model uses dynamic field theory in which networks of neural dynamic populations supporting stable activation states are coupled to generate sequences of processing steps. The neural architecture accounts for basic findings in visual search and proposes a concrete mechanism for the integration of working memory into the search process. In a behavioral experiment, we address the long-standing question of whether both the overall speed and the efficiency of visual search can be improved by scene memory. We find both effects and provide model fits of the behavioral results. In a second experiment, we show that the increase in efficiency is fragile, and trace that fragility to the resetting of spatial working memory.

中文翻译：

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视觉搜索中的场景记忆和空间抑制：神经动态过程模型和新的实验证据。

任何面向对象的行动都要求首先通过视觉搜索将对象带入注意前景。在实验室之外，这总是在通过持续的视觉探索获得的场景表示存在的情况下发生。场景记忆与视觉搜索的相互作用仍未完全被理解。特征集成理论（FIT）塑造了视觉搜索的研究，强调当搜索需要特征连接时搜索时间随设定大小的缩放，以及通过变化检测范式对视觉工作记忆的研究。尽管有神经动机，但 FIT 在两个维度上都没有一致的神经过程解释。我们提出了这样一个帐户，它集成了（1）视觉探索和场景记忆的构建，（2）视觉瞬态的注意力检测和搜索线索的提取，以及（3）视觉搜索本身。该模型使用动态场论，其中支持稳定激活状态的神经动态群体网络耦合以生成处理步骤序列。神经架构解释了视觉搜索的基本发现，并提出了将工作记忆整合到搜索过程中的具体机制。在行为实验中，我们解决了长期存在的问题：场景记忆是否可以提高视觉搜索的整体速度和效率。我们发现这两种效应并提供行为结果的模型拟合。在第二个实验中，我们表明效率的提高是脆弱的，并将这种脆弱性追溯到空间工作记忆的重置。