基于决策模型和预备电位的运动想象BCI研究

项目名称： 基于决策模型和预备电位的运动想象BCI研究

项目编号： No.61573079

项目类型： 面上项目

立项/批准年度： 2016

项目学科： 自动化技术、计算机技术

项目作者： 刘蓉

作者单位： 大连理工大学

项目金额： 16万元

中文摘要： 目前运动想象脑机接口(BCI)的研究主要集中于利用运动想象发生后(after–motor imagery)的EEG信号，然而受试者运动想象意识发生和BCI系统响应之间的等待时间降低了系统的实时性。预备电位(RP)能够预测运动想象行为的发生，有望解决以上BCI的时滞问题。借鉴生物系统的决策机理，结合大脑的高级认知过程，本项目探索利用RP驱动BCI系统的新方法，主要研究内容包括设计运动想象LRP产生的实验范式，采集脑电数据，提取LRP，分析LRP的决策神经机理。本项目的成功执行将有利于推动运动想象BCI系统的深入发展，也为进一步研究神经、行为和计算的统一决策理论开拓了新的思路。

中文关键词： 脑机接口；决策；偏侧预备电位；扩散模型；启动点

英文摘要： Usually, in brain-computer interface (BCI) applications, the focus of study is on the after-motor imagery potentials. The waiting time between this after-motor imagination and the BCI response decrease the real-time performance of the BCI system. Using the pre-motor imagery potentials such as the readiness potential (RP), we can predict the onset of the upcoming movement that is engaged in the performance. Therefore, it is possible to solve the time delay problem of the BCI systems based on the pre-motor imagery potentials. Based on the decision-making mechanism of biological systems, we links EEG signal with high-level cognitive activities together. Aiming at exploring a new BCI method using RP, the main research contents of this project is to design the motor imagery LRP experimental paradigm to collect the EEG data and extract LRP signal and then examine corresponding underlying cognitive meanings.The successful execution of this project will not only help to promote the further development of motor imagery BCI systems, but also develop new idea to construct a unified decision-making framework from neural, behavior and computation aspects.

英文关键词： Brain-computer interface；Decision making；LRP；diffusion model；onset