Three new neural network-based tools enable fast, accurate alignment and annotation of images even in very wiggly subjects.

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 ...

For more than a century, scientists have wondered why physical structures like blood vessels, neurons, tree branches, and other biological networks look the way they do. The prevailing theory held ...

Abstract: The study presents the application of Artificial Neural Networks (ANNs) for pattern recognition, modeling, and analyzing their performance using MATLAB. Two neural architectures are compared ...

The Texas Department of Information Resources (DIR) has proposed a new statewide Code of Ethics for the use of artificial intelligence systems in government. The code, published in the Nov. 7 issue of ...

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 ...

B. Heller-Kaikov, R. Pail and M. Werner, Neural network-based framework for signal separation in spatio-temporal gravity data. Computers and Geosciences (2025), doi ...

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 ...

Neural networks aren’t the only game in artificial intelligence, but you’d be forgiven for thinking otherwise after the hot streak sparked by ChatGPT’s arrival in 2022. That model’s abilities, ...