基于功能磁共振成像的三维运动编解码计算模型

人类每天都处在运动的三维世界中。探究人脑视觉系统如何加工三维运动是当前视觉认知神经的研究热点。虽然二维运动加工的神经机制已经被广泛研究，但是视觉神经元如何表征三维运动（深度运动）的运动轨迹尚不清楚。此外，功能磁共振成像技术的飞速发展和各种机器学习方法的引入，使得我们可以从脑活动中直接解码出脑状态。本项目将借助fMRI技术，从构建编解码计算模型的角度，探讨三维运动与视觉皮层活动之间映射关系，揭示三维运动在视觉皮层的神经表征。本项目拟将围绕三维运动的编解码计算模型，从以下三个方面开展研究：（1）基于fMRI的三维运动的编码计算模型。（2）基于fMRI的三维运动的解码计算模型。（3）基于fMRI的三维运动轨迹识别。

Human are in the dynamic three-dimensional (3D) world everyday. Investigating how the human visual system processes the 3D motion is a hot topic of the vision neuroscience. Although neural processing of 2D visual motion has been studied extensively, but relatively little is known about how visual cortical neurons represent visual motion trajectories that include a component toward or away from the observer (motion in depth). Moreover, the rapid development of functional magnetic resonance(fMRI) and the introduce of various machine learning methods make us to decode the brain states from brain activities directly. This project aims to investigate the mapping from the 3D motion to the activity of visual cortex and the neural representation of the 3D motion from the perspectives of the encoding and decoding computation models by using fMRI technique. The project will investigates the following three critical issues. (1) The encoding computational model of 3D motion based on fMRI. (2) The decoding computational model of 3D motion based on fMRI. (3) Indentify 3D motion trajectories based on fMRI.