Understanding how predictions modulate visual perception

大脑使用感觉预测来帮助有效地理解复杂的视觉输入。这个项目旨在探索大脑如何产生、使用和整合不同来源的预测信息，以促进有效的视觉感知。预计结果将具有理论和实践两方面的好处，因为它们将有助于完善有影响力的理论模型，并产生具有实际意义的结果，并在计算机视觉方面进行实际应用。

The brain uses sensory predictions to help efficiently make sense of complex visual input. This project aims to explore how the brain generates, uses, and integrates different sources of predictive information to facilitate efficient visual perception. The outcomes are expected to be of both theoretical and practical benefit as they will help to refine influential theoretical models and generate findings with practical, real-world applications in computer vision.