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 ...

Despite the progress driven by deep learning in neural network-based speech separation models, the integration of electroencephalography (EEG) signals to guide the speech separation process in complex ...

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 ...

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

But current methods remain challenging. Dr. Amir Jahanian-Najafabadi from Constructor University has been conducting a series of studies exploring the use of advanced computational models applied on ...

Neural stem cells are multipotent adult stem cells present in the adult central nervous system that can self-renew, and give rise to new neurons and supporting cells called glial cells. Activation ...

3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK) ...