In the above paper [1] , we proposed a novel framework that uses a constrained formulation of sum of squared correlation (SSCOR) approach as an alternative method for designing a spatial filter for steady-state visual evoked potential (SSVEP) based brain-computer interfaces (BCIs). To evaluate the target detection performance of the SSCOR method, the task-related component analyses (TRCA) were used as a benchmark [2] . The study used the SSVEP benchmark dataset containing 40 target data collected from 35 subjects [3] . During the evaluation of the proposed method, the SSCOR provided very high detection performance and outperformed the TRCA method and the results were reported.

中文翻译：

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对“设计平方相关框架之和以增强基于 SSVEP 的 BCI”的更正。


在上面的论文中[1] ，我们提出了一种新颖的框架，该框架使用平方相关和（SSCOR）方法的约束公式作为设计基于稳态视觉诱发电位（SSVEP）的脑机接口（BCI）的空间滤波器的替代方法。为了评估 SSCOR 方法的目标检测性能，使用任务相关成分分析（TRCA）作为基准[2] 。该研究使用了 SSVEP 基准数据集，其中包含从 35 名受试者收集的 40 个目标数据[3] 。在对所提出方法的评估过程中，SSCOR 提供了非常高的检测性能，并且优于 TRCA 方法，并报告了结果。