Characterising brain networks of intelligence through information tracking

通过信息跟踪表征大脑智能网络

• 批准号: DE230100608
• 负责人: Dr Hamid Karimi-Rouzbahani
• 金额: $ 32.32万
• 依托单位: The University of Queensland
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Early Career Researcher Award
• 财政年份: 2023
• 资助国家: 澳大利亚
• 起止时间: 2023-12-31 至 2029-12-30
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DE230100608
• 关键词: Characterising; brain; networks; intelligence; through

For intelligent behaviour, the human brain needs to engage several processes including sensory, memory and motor processes. How it does this is one of the most significant questions in cognitive neuroscience. This project characterises the neural networks of human intelligence by advancing and building on the most recent advances in neuroimaging analyses. It will determine the interaction of different brain processes by developing novel connectivity methods that track the flow of information through the brain with high temporal and spatial accuracy. The outcomes will be fundamental insights into the mechanisms of human intelligence and new connectivity analysis software that will have wide application in brain research.

对于智能行为，人类大脑需要参与几个过程，包括感觉，记忆和运动过程。它如何做到这一点是认知神经科学中最重要的问题之一。该项目通过推进和建立在神经成像分析的最新进展上来表征人类智能的神经网络。它将通过开发新的连接方法来确定不同大脑过程的相互作用，这些方法可以以高的时间和空间精度跟踪大脑中的信息流。其成果将是对人类智能机制的基本见解和新的连接分析软件，这些软件将在大脑研究中得到广泛应用。