Multivariate Decoding of the Retrieval Brain State Across Cognition

大脑状态-全脑活动和连接的稳定模式-决定神经处理和行为- 然而，对特定的fic大脑状态的了解仍然有限。特别是，一直以来， 考虑检索状态可以如何驱动支持存储器和 认知力。这项研究计划的长期目标是将认知大脑状态和行为联系起来。整体而言 当前应用的目的是确定检索状态的属性。(define)这一点的中心假设是 有人提出，提取状态反应的是一种独立于控制的内部注意力大脑状态。fic目标的规范 该建议的目的是建立检索状态时间动力学、链接检索和内部定向注意， 并找出诱发重现的因素。这项建议将使用头皮脑电数据的多变量解码来 随时间推移和跨任务的索引试用级检索。当前提案的fi定义预计将提供 与理解记忆和认知广泛相关的显著的fi概念进步。

Brain states – stable patterns of whole-brain activity and connectivity – dictate neural processing and behav- ioral outcomes, yet understanding of specific brain states remains limited. In particular, there has been limited consideration of how the retrieval state may drive the processes and representations that support memory and cognition. The long-term goal of this research program is to link cognitive brain states and behavior. The overall objective of the current application is to define the properties of the retrieval state. The central hypothesis of this proposal is that the retrieval state reflects a control-independent internal attention brain state. The specific aims of this proposal are to establish retrieval state temporal dynamics, link retrieval and internally directed attention, and identify the factors that induce retrieval. This proposal will use multivariate decoding of scalp EEG data to index trial-level retrieval over time and across tasks. The findings of the current proposal are expected to provide a significant conceptual advance that will be broadly relevant to understanding memory and cognition.