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傳統(tǒng)的非侵入型腦-機(jī)接口（brain-computer interface，BCI）系統(tǒng)通常采用單人-單機(jī)架構(gòu)，其信息傳輸速率較低且魯棒性差，難以滿足高精度、多指令、短時(shí)限等復(fù)雜作業(yè)的性能需求。隨著傳感和信息技術(shù)的迅速發(fā)展，面向多人-多機(jī)的協(xié)同式腦-機(jī)接口系統(tǒng)（collaborative BCI, cBCI）應(yīng)運(yùn)而生。cBCI可充分發(fā)揮群體智慧優(yōu)勢(shì)，深入挖掘群體神經(jīng)響應(yīng)信息，從而更高效地完成人-機(jī)交互作業(yè)。本文綜述了cBCI的基本系統(tǒng)架構(gòu)，并結(jié)合現(xiàn)有研究分析其在決策與控制兩個(gè)應(yīng)用場(chǎng)景下的作業(yè)特點(diǎn)，討論了面向不同作業(yè)需求和系統(tǒng)架構(gòu)的群體神經(jīng)信息融合算法的優(yōu)勢(shì)與不足，展望了cBCI的系統(tǒng)優(yōu)化方向與應(yīng)用研究的發(fā)展趨勢(shì)。

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