A team at Carnegie Mellon University is helping kids understand artificial intelligence with a soft, squishy, LED-lit neural ...

A new book by one of the founders of research on neural networks covers more than 40 years of scientific work that led to the ...

Researchers have developed a new method that greatly improves the accuracy of brain-state classification with functional near-infrared spectroscopy (fNIRS). The brain-imaging technique fNIRS allows ...

This valuable study uses EEG and computational modeling to investigate hemispheric oscillatory asymmetries in unilateral spatial neglect. The work benefits from rare patient data and a careful ...

This important work employed a recent, functional muscle network analysis for evaluating rehabilitation outcomes in post-stroke patients. While the research direction is relevant and suggests the need ...

A new study shows that the widely used antidepressant fluoxetine does more than boost serotonin levels: it changes how brain cells manage their energy and rebuild their connections, potentially ...

A recent Nature study shows that separated artificial neural networks can accurately model SiC MOSFETs using minimal training data. Silicon carbide MOSFETs are increasingly replacing traditional ...

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...

How does cannabis influence cognitive abilities, specifically regarding aging? This is what a recently submitted study to Nature Portfolio hopes to address as an international team of researchers ...

This study presents a general trainable network of Hopf oscillators to model high-dimensional electroencephalogram (EEG) signals across different sleep stages. The proposed architecture consists of ...