Statistical methods for analysing maps in the visual brain

分析视觉大脑中的地图的统计方法

• 批准号: DP170102263
• 负责人: Prof Geoffrey Goodhill
• 金额: $ 22.36万
• 依托单位: The University of Queensland
• 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: 2017-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP170102263
• 关键词: Statistical; methods; analysing; maps; visual

This project aims to apply Gaussian process methods, a Bayesian approach for data analysis, to analyse data from brain imaging experiments. Discovering the principles of functional brain architecture requires analysing data from functional imaging technologies. However, these technologies produce very noisy data which is difficult to interpret. This project will apply Gaussian process methods to study data from optical imaging and functional magnetic resonance imaging of the visual brain. This is expected to reveal critical information about how normal brain structure changes with development and sensory experience. The statistical methods developed should be applicable within and beyond neuroscience, and may ultimately help improve the diagnosis of human health disorders.

本项目旨在应用高斯过程方法，一种贝叶斯方法进行数据分析，以分析脑成像实验的数据。发现功能性脑结构的原理需要分析功能性成像技术的数据。然而，这些技术产生的数据非常嘈杂，难以解释。本项目将运用高斯过程方法对视觉脑的光学成像和功能磁共振成像数据进行研究。这有望揭示正常大脑结构如何随着发育和感官体验而变化的关键信息。所开发的统计方法应适用于神经科学内外，并可能最终有助于改善人类健康疾病的诊断。