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 ...
The advent of high-density recording technologies, such as Neuropixels and large-scale calcium imaging, has provided an unprecedented look into the ...
The profound impact of neurological injuries and diseases, such as stroke, spinal cord injury, and neurodegenerative disorders, often manifests as ...