Decoding neuronal populations for visually-guided decision and action

本项目旨在研究大脑如何解码视觉信息，以指导感官引导的行动。使用高分辨率技术，能够在真实的时间监测许多细胞的活动，它将研究有关视觉模式运动的感觉信号如何与噪声（与编码的感觉不直接相关的神经元活动的波动）相互作用，以确定动物做出的决定。预期成果包括有关负责视觉的细胞回路的新知识，以及从生理测量中解码大脑活动的新技术，这些技术可能在未来指导改进的仿生设备的开发，如脑机接口。

This project aims to investigate how the cerebral decodes visual information in order to guide sensory-guided actions. Using a high resolution technique, capable of monitoring the activity of many cells in real time, it will study how sensory signals about the motion of visual patterns interact with noise (fluctuations in neuronal activity that are not directly related to the sensation being encoded) in order to determine decisions made by an animal. Expected outcomes include new knowledge about the cellular circuits responsible for vision, and new technologies for decoding brain activity from physiological measurements, which may in the future guide the development of improved bionic devices such as brain-computer interfaces.