Hierarchical information processing in the primate visual cortex

灵长类视觉皮层的分层信息处理

• 批准号: DP170104600
• 负责人: Prof Marcello Rosa
• 金额: $ 26.7万
• 依托单位: Monash University
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2017
• 资助国家: 澳大利亚
• 起止时间: 2017-04-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP170104600
• 关键词: Hierarchical; information; processing; primate; visual

This project aims to understand how visual information is transformed across hierarchical levels in the brain. Neuroscientists have long recognised that the visual cortex can be conceptualised as a hierarchical processing network. This became apparent when learning algorithms based on hierarchical networks ("deep learning") changed artificial intelligence. This project will combine high-throughput electrophysiology with analytical tools adopted from deep learning. By explaining the physiological properties of higher-level neurons in terms of hierarchical networks, the project expects to address long standing questions in neuroscience, and provide insights on biological hierarchical computation.

这个项目旨在了解视觉信息是如何在大脑的不同层次上转换的。神经科学家早就认识到，视觉皮层可以被概念化为一个分层处理网络。当基于分层网络的学习算法（“深度学习”）改变人工智能时，这一点变得明显。该项目将结合高通量电生理学和深度学习的分析工具。通过从层次网络的角度解释高级神经元的生理特性，该项目希望解决神经科学中长期存在的问题，并为生物层次计算提供见解。