A multivariate analysis of electroencephalography activity reveals super-additive enhancements to the neural encoding of audiovisual stimuli, providing new insights into how the brain integrates ...

A new machine learning model, TweetyBERT, automatically segments and classifies canary vocalizations with expert-level accuracy, offering a scalable ...

Research and new technologies have dramatically expanded the amount of data that can be captured from the brain over the past few years. The challenge now is to determine what that data can tell us. A ...

Meta is testing artificial intelligence systems that can turn patterns of brain activity into text, effectively letting people “type” with their thoughts while lying inside a scanner. The work is ...

Neural responses during statistical learning reveal dissociable dynamic effects of expectation, supporting the opposing process theory within trials while demonstrating contrasting effects across ...

A new study published in this month’s Journal of Neural Engineering demonstrates how a brain-computer interface (BCI) uses artificial intelligence (AI) deep learning to translate brain activity to ...

We may not think about it while doing it, but our nervous system is directing our bones, joints, muscles, tendons, and more to move as efficiently as possible at varying speeds. Replicating this in ...