Predicting Behaviour from Brain Representations

该项目旨在促进我们对感知信息如何在人脑中表示的理解，并将感知大脑表示的结构与人类行为联系起来。该项目计划使用互补的方法来记录大脑活动（人类神经成像和灵长类动物单细胞神经生理学）和尖端的分析技术来生成基于感知大脑表征结构的行为预测模型。预计该研究结果将为理解大脑表征如何预测行为提供一个新的经验框架，从而显著推进认知神经科学领域的发展。

This project aims to advance our understanding of how perceptual information is represented in the human brain and to link the structure of perceptual brain representations to human behaviour. The project plans to use complementary methods for recording brain activity (human neuroimaging and primate single-cell neurophysiology) and cutting-edge analytic techniques to generate a predictive model of behaviour based on the structure of perceptual brain representations. It is anticipated that the results will significantly advance the field of cognitive neuroscience by providing a novel empirical framework for understanding how brain representations are predictive of behaviour.