Robert J. and Nancy D. Carney Institute for Brain Science

Human Neocortical Neurosolver (HNN)

HNN is open-source software that allows brain scientists to develop and test predictions on how signals from electro- and magneto- encephalography (EEG/MEG) – the most common way to record human brain electrical activity without surgery – are generated in the brain.

Why it’s Important

Without understanding the source of EEG/MEG signals, researchers can’t easily translate the recordings into new diagnostic tools and drugs, or new ways to think about human information processing. HNN aims to speed translation of basic science so it can more quickly improve health.

What it Does

EEG/MEG measure electrical activity in the brain and are key tools to diagnose and treat conditions including Alzheimer’s disease, epilepsy, tumors and stroke, and to evaluate brain trauma or brain damage. What generates those signals is not clear – which is where HNN comes in. The software simulates how the cells and connected circuits of cells create the electric currents underlying EEG/MEG signals. The cell and circuit activity can be then studied more precisely with invasive techniques.

Where it’s Used

Dozens of labs have used the software, and Jones and her team have provided online and in person training to scientists all over the globe, including in the United Kingdom, Finland and Spain.