A new study has demonstrated that a tiny bundle of optical fibers can continuously, accurately, and simultaneously measure ...

The latest group of winning technologies has a little something for everyone—from scientists at the lab bench to those in the ...

We present a method for direct imaging of the electric field networks in the human brain from electroencephalography (EEG) data with much higher temporal and spatial resolution than functional MRI ...

Discover how neuromarketing leverages AI and brain-computer interfaces to revolutionize marketing strategies, reshape ...

Groundbreaking neuroscience research by an international team led by scientists at Virginia Tech's Fralin Biomedical Research ...

Non-invasive brain imaging is usually handled with electrodes, sticky gels, and wires: it's an ugly, uncomfortable, and ...

Epilepsy is one of the most common neurological diseases in the world, afflicting more than 50 million people. While most ...

Large-scale genome-wide association studies (GWASs) provide the opportunity to systematically explore the potential causal relationships between numerous brain imaging-derived phenotypes (IDPs) and ...

The global brain imaging and neuroimaging market is poised for significant growth in the coming decade, with an anticipated ...

Hyperfine, Inc. , the groundbreaking health technology company that has redefined brain imaging with the first FDA-cleared AI-powered portable magnetic resonance (MR) brain imaging system?the Swoop® ...

New study shows AI large language models (LLMs) outperform human neuroscientists in predicting neuroscience study outcomes.

This repository is a set of tools that I use in my thesis, the main focus is processing EEG data, but some functions is expandable to other time series and signal processing fields.