Early studies for EEG signal processing have focused more on extracting EEG temporal features and considered the topology of EEG channels less due to the limitation of rich spatial information. Graph ...

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Existing EEG-fNIRS bimodal methods primarily focus on data alignment and basic feature fusion, neglecting the intrinsic connections between different signals and brain regions. To this end, we propose ...

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What do you wonder? By The Learning Network A new collection of graphs, maps and charts organized by topic and type from our “What’s Going On in This Graph?” feature. By The Learning ...

Institute of Theoretical and Computational Chemistry, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China ...

Major depressive disorder (MDD) is a serious mental health condition that impacts individuals of all ages, including children ...

This paper presents a novel approach utilizing a Multiscale Fusion enhanced Spiking Neural Network (MFSNN). The MFSNN emulates the parallel processing and multiscale feature fusion seen in human ...