The human brain is complex. Understanding deep brain function usually requires the insertion of probes that frequently result ...

Signal Enhancement: An acoustic-driven signal enhancement approach based on NeRF acoustic field modeling and nested generative networks supplements missing or incomplete EEG data through acoustic ...

Graph neural networks (GNNs) have emerged as a powerful framework for analyzing and learning from structured data represented as graphs. GNNs operate directly on graphs, as opposed to conventional ...

Binary digits and circuit patterns forming a silhouette of a head. Neural networks and deep learning are closely related artificial intelligence technologies. While they are often used in tandem, ...