华东理工大学学报（自然科学版）2017，Vol.43Issue(5)：655-661,7.DOI:10.14135/j.cnki.1006-3080.2017.05.009
基于数据驱动的闭环脑机接口设计
Design of Closed Loop Brain Computer Interface Based on Data Driven
摘要
Abstract
In this paper,we consider the simulation model of cortical neural network and the analysis of the single joint movement tasks based on the control theory.The linear decoder design of neuron discharge activity is designed using adaptive Wiener filter.The performance of the decoder is severely reduced when the visual feedback information is missing.Hence,this paper further utilizes a data driven tightly formatted model-free control algorithm to generate stimulus signals such that the neurons in the sensory area of the cerebral cortex can be stimulated to track the neuronal firing activity in sensory areas.Due to the recovery of neuron discharge information in the sensory area,the performance of the decoder in the absence of sensory feedback information can be also restored.Finally,the simulation results illustrate the effectiveness of the artificial sensory feedback based on data driven algorithm,which also verify the performance of the closed loop system in this work,compared with PID algorithm.关键词
大脑皮层仿真模型/无模型控制/解码器/数据驱动Key words
cerebral cortex simulation model/modeling free control/decoder/data driven分类
信息技术与安全科学引用本文复制引用
孙京诰,戚川,潘红光..基于数据驱动的闭环脑机接口设计[J].华东理工大学学报（自然科学版）,2017,43(5):655-661,7.基金项目
国家自然科学基金青年基金(61603295) （61603295）
