![]() ![]() The decoding performance was best when the analysis period began from 180 to 380 ms after stimulus presentation, especially in the lateral occipital and posterior temporal scalp regions (PO7 and PO8). Low-frequency theta and alpha oscillations have phase information with higher accuracy than do other bands. It was observed that the EEG phase signals have a higher decoding accuracy than the oscillation power information. We applied support vector machine (SVM) with gradient descent method to learn the potential features for classification. An English letter recognition task was assigned, and statistical analyses were conducted to decode the EEG signal corresponding to each letter visualized on a computer screen. In addition, we investigate how different band oscillations contribute to the classification and determine the critical time periods. Here, we investigate whether and how the letters of the alphabet can be directly decoded from EEG phase and power data. ![]() Increasing evidence indicates that the phase pattern and power of the low frequency oscillations of brain electroencephalograms (EEG) contain significant information during the human cognition of sensory signals such as auditory and visual stimuli. 2Institute of Modern Physics, Fudan University, Shanghai, China.1State Key Laboratory of Medical Neurobiology, School of Life Science and the Collaborative Innovation Center for Brain Science, Center for Computational Systems Biology, Institutes of Brain Science, Fudan University, Shanghai, China.YiYan Wang 1,2 Pingxiao Wang 2 Yuguo Yu 1 *
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