Abstract：
To explain how the brain orchestrates information-processing for cognition, we must understand information itself. Importantly, information is not a monolithic entity. Information decomposition techniques provide a way to split information into its constituent elements: unique, redundant, and synergistic information. We review how disentangling synergistic and redundant interactions is redefining our understanding of integrative brain function and its neural organisation. To explain how the brain navigates the trade-offs between redundancy and synergy, we review converging evidence integrating the structural, molecular, and functional underpinnings of synergy and redundancy; their roles in cognition and computation; and how they might arise over evolution and development. Overall, disentangling synergistic and redundant information provides a guiding principle for understanding the informational architecture of the brain and cognition.
摘要：
为了解释大脑如何为认知协调信息处理，我们必须了解信息本身。重要的是,信息不是一个整体实体。信息分解技术提供了一种将信息分解为其组成元素的方法：独特，冗余,和协同信息。我们回顾了如何解开协同和多余的相互作用正在重新定义我们对整合脑功能及其神经组织的理解。为了解释大脑如何在冗余和协同之间进行权衡，我们回顾融合结构的证据，分子，以及协同和冗余的功能基础；它们在认知和计算中的作用；以及它们如何在进化和发展中出现。总的来说,解开协同和冗余信息为理解大脑和认知的信息结构提供了指导原则。
