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.

注意力可以被自动引导到自下而上的显著刺激，自上而下的目标相关刺激，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力选择。迄今为止，价值驱动的注意选择主要是使用通道内刺激-奖励偶然事件来研究的。这对理解日常生活中基于价值的注意力选择的更广泛机制构成了理论限制，即，典型的多感官环境。当前项目的目的是揭示价值驱动的跨模态注意的行为特征和潜在的神经签名和大脑网络。为此，计划中的研究首先是为了确定价值驱动的注意力是否可以跨越不同的感官形式传播;其次，确定哪一个处理水平是由价值驱动的注意力调节的（例如，通道内特征/维度图、通道特定图或一些整合的超通道主图的水平）;第三，揭示注意力负荷如何偏向价值驱动的注意力;第四，通过结合行为与EEG和fMRI方法来检查（与上述行为工作包平行的）基于价值的大脑网络和注意力网络之间的相互作用。