IFT co-author paper with Prof. Wei Li from California State University, entitled “Decision-Making Selector (DMS) for Integrating CCA-based Methods to Improve Performance of SSVEP-Based BCIs”, published in IEEE Transactions on Neural Systems and Rehabilitation Engineering. This paper proposes a novel decision-making selector (DMS) to integrate classification decisions of different frequency recognition methods based on canonical correlation analysis (CCA) which were used in decoding steady state visual evoked potentials (SSVEPs).