Titlebook: Brain Informatics; International Confer Shouyi Wang,Vicky Yamamoto,Tom Mitchell Conference proceedings 2018 Springer Nature Switzerland AG

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Emotion Recognition Based on Gramian Encoding Visualizationosis and so on, due to poor direct understanding of physiological signals. In view of the fact that people’s ability to understand two-dimensional images is much higher than one-dimensional signals, we use Gramian Angular Fields to visualize time series signals. GAF images are represented as a Grami

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Current Design with Minimum Error in Transcranial Direct Current Stimulationresearch and clinic applications due to its convenient implementation and modulation of the brain functionality. In this paper, we propose a novel multi-electrode tDCS current configuration model that minimizes the total error under the safety constraints. After rewriting the model as a linearly con

吸引力

Assessment of Source Connectivity for Emotional States Discriminationsigning the set of Regions-of-interest (ROIs) over the cortical surface, (ii) estimating the ROI time-courses using a dynamic inverse problem formulation, (iii) estimating the pairwise functional connectivity between ROIs, and (iv) feeding a Support Vector Machine Classifier with the estimated conne