The neural dynamics of real-time processing in the brain

大脑实时处理的神经动力学

• 批准号: DP220101166
• 负责人: Prof Anthony Burkitt
• 金额: $ 34.53万
• 依托单位: The University of Melbourne
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2022
• 资助国家: 澳大利亚
• 起止时间: 2022-01-01 至 2025-12-30
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP220101166
• 关键词: neural; dynamics; real; time; processing

The aim of this project is to investigate a new model for predictive coding of sensory processing in the brain in which the brain compensates for the time delays in neural transmission by maintaining a real-time temporal alignment of the neural activity. This results in a representation of sensory information that is aligned in time across the cortex, offering a new fundamental principle for how the brain functions in a highly dynamic world whose outcomes would provide a deeper understanding of brain function. It could also have profound significance for artificial intelligence and brain-inspired technologies, as well as benefit neural sensory prostheses and brain-machine interfaces.

该项目的目的是研究一种新的模型，用于大脑中感觉处理的预测编码，其中大脑通过保持神经活动的实时时间对齐来补偿神经传输中的时间延迟。这导致感觉信息的表示在时间上在皮层上对齐，为大脑在高度动态的世界中如何发挥作用提供了一个新的基本原则，其结果将提供对大脑功能的更深入理解。它也可能对人工智能和大脑启发的技术具有深远的意义，并有利于神经感觉假体和脑机接口。