Correction to "Correlated Component Analysis for Enhancing the Performance of SSVEP-Based Brain-Computer Interface".

In the above paper [1], a method has been proposed to use the correlated component analysis (CORCA) to learn spatial filters with multiple blocks of individual training data for steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI) scenario. In order to evaluate the performance of CORCA, the task-related component analysis (TRCA)-based method was used as a baseline method [2]. For a fair and convincing comparison, the MATLAB codes on the website (https://github.com/mnakanishi/TRCA-SSVEP) for implementing TRCA method provided by Dr. Masaki Nakanishi, the first author of [2], were used to take the role of the TRCA method. At that time, the proposed CORCA-based method outperforms the TRCA-based method [1].

[1]  Toshihisa Tanaka,et al.  Correlated Component Analysis for Enhancing the Performance of SSVEP-Based Brain-Computer Interface , 2018, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[2]  Yijun Wang,et al.  Enhancing Detection of SSVEPs for a High-Speed Brain Speller Using Task-Related Component Analysis , 2018, IEEE Transactions on Biomedical Engineering.