Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and ...

Electroencephalography (EEG) can non-invasively measure neuronal events and reflect brain activity at different locations on the scalp. Early studies for EEG signal processing have focused more on ...

Artificial Intelligence systems powered by deep learning are changing how we work, communicate, and make decisions. If we ...

Protein-Protein Interaction Prediction Models Based on Graph Neural Networks Protein-protein interactions (PPIs) are the foundation for numerous biological processes within cells, which are crucial ...

This study presents useful findings on how the transient absence of visual input (i.e., darkness) affects tactile neural encoding in the somatosensory cortex. The evidence supporting the authors' ...