Value-driven Crossmodal Attention

价值驱动的跨模式注意力

• 批准号: 411721317
• 负责人: Professor Dr. Hermann J. Müller
• 金额: --
• 依托单位: Department of Psychology
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2019
• 资助国家: 德国
• 起止时间: 2018-12-31 至 2022-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/411721317?language=en
• 关键词: Value; driven; Crossmodal; Attention

Attention can be automatically guided to bottom-up salient stimuli, top-down to goal-related stimuli, or even to stimulus features that were previously associated with reward or loss. The latter has been referred to as value-driven attentional selection. To date, value-driven attentional selection has mainly been investigated using intra-modality stimulus-reward contingencies. This poses theoretical limitations to understanding the broader mechanisms underlying value-based attentional selection in everyday, i.e., typically, multisensory environments. The aim of the current project is to uncover the behavioral characteristics and the underlying neural signatures and brain networks of value-driven crossmodal attention. To this end, the studies planned are designed, first, to determine whether value-driven attention can spread across separate sensory modalities; second, to identify which processing level is modulated by value-driven attention (e.g., the level of intra-modal feature/dimension maps, modality-specific maps, or some integrative, supra-modal master map); third, to uncover how attentional load biases value-driven attention; and, fourth to examine (in a parallel strand with the above, behavioral work packages) the interplay between the value-based brain network and the attention network(s) by combining behavioral with EEG and fMRI methodologies.

可以自动引导注意力进行自下而上的显着刺激，自上而下，与目标相关的刺激，甚至是以前与奖励或损失相关的刺激特征。后者被称为价值驱动的注意选择。迄今为止，主要使用模式内刺激 - 奖励意外事件研究了价值驱动的注意选择。这构成了理论上的局限性，可以理解日常（即通常是多感官环境）中基于价值的注意力选择的更广泛的机制。当前项目的目的是揭示价值驱动的跨模式关注的行为特征以及潜在的神经信号和大脑网络。为此，计划的研究首先是为了确定价值驱动的注意力是否可以传播到单独的感觉方式上。其次，要确定哪个处理级别是通过价值驱动的注意（例如，模式内特征/维度图，模态特异性映射或某些集成，上型模式的主映射）调节的；第三，要发现注意力负载如何偏向价值驱动的注意力；并且，通过将行为与脑电图和fMRI方法相结合，将第四次检查（与上述行为工作包的平行链中）基于价值的大脑网络与注意力网络之间的相互作用。