To investigate neural mechanisms of human psychology with electroencephalography(EEG),we typically instruct participants to perform certain tasks with simultaneous recording of their brain activities.The identificatio...To investigate neural mechanisms of human psychology with electroencephalography(EEG),we typically instruct participants to perform certain tasks with simultaneous recording of their brain activities.The identification of task-related EEG responses requires data analysis techniques that are normally different from methods for analyzing resting-state EEG.This review aims to demystify commonly used signal processing methods for identifying task-related EEG activities for psychologists.To achieve this goal,we first highlight the different preprocessing pipelines between task-related EEG and resting-state EEG.We then discuss the methods to extract and visualize event-related potentials in the time domain and event-related oscillatory responses in the time-frequency domain.Potential applications of advanced techniques such as source analysis and single-trial analysis are briefly discussed.We conclude this review with a short summary of task-related EEG data analysis,recommendations for further study,and caveats we should take heed of.展开更多
为简化混合装配平衡问题的求解,进而提高装配线的生产效率,在兼顾产品切换引起负荷波动的基础上,综合工作站数、工作负荷平衡和任务关联度三个优化目标,提出一种求解多目标混合品种装配线平衡问题的改进型IWD(intelligent water drop)...为简化混合装配平衡问题的求解,进而提高装配线的生产效率,在兼顾产品切换引起负荷波动的基础上,综合工作站数、工作负荷平衡和任务关联度三个优化目标,提出一种求解多目标混合品种装配线平衡问题的改进型IWD(intelligent water drop)算法。对IWD算法的节点转移规则进行改进,加入最大概率引导规则和随机搜索规则;采用Pareto占优的方式对解进行分层以获得前沿解集,并根据分层结果给每个粒子提供一个启发值,依据启发值实施全局更新,增加算法的全局搜索能力;通过测试各种标准问题,验证了改进型IWD算法比遗传算法的求解速度更快、效率更高。展开更多
基金supported by the National Natural Science Foundation of China(No.31822025,No.31671141)
文摘To investigate neural mechanisms of human psychology with electroencephalography(EEG),we typically instruct participants to perform certain tasks with simultaneous recording of their brain activities.The identification of task-related EEG responses requires data analysis techniques that are normally different from methods for analyzing resting-state EEG.This review aims to demystify commonly used signal processing methods for identifying task-related EEG activities for psychologists.To achieve this goal,we first highlight the different preprocessing pipelines between task-related EEG and resting-state EEG.We then discuss the methods to extract and visualize event-related potentials in the time domain and event-related oscillatory responses in the time-frequency domain.Potential applications of advanced techniques such as source analysis and single-trial analysis are briefly discussed.We conclude this review with a short summary of task-related EEG data analysis,recommendations for further study,and caveats we should take heed of.
文摘为简化混合装配平衡问题的求解,进而提高装配线的生产效率,在兼顾产品切换引起负荷波动的基础上,综合工作站数、工作负荷平衡和任务关联度三个优化目标,提出一种求解多目标混合品种装配线平衡问题的改进型IWD(intelligent water drop)算法。对IWD算法的节点转移规则进行改进,加入最大概率引导规则和随机搜索规则;采用Pareto占优的方式对解进行分层以获得前沿解集,并根据分层结果给每个粒子提供一个启发值,依据启发值实施全局更新,增加算法的全局搜索能力;通过测试各种标准问题,验证了改进型IWD算法比遗传算法的求解速度更快、效率更高。
