Human Neocortical Neurosolver

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PI: Jones, Stephanie Ruggiano (contact); Hamalainen, Matti; Hines, Michael L


Institution: Brown University

Title: Human Neocortical Neurosolver

Human Neocortical Neurosolver (HNN): Electro- and magneto-encephalography (EEG/MEG) are among the most powerful technologies to non-invasively record human brain activity with millisecond resolution. They provide reliable markers of healthy brain function and disease states. A major limitation is that it is often difficult to connect the macroscopic scale measured signals to the underlying cellular and circuit level neural generators. This difficulty limits the translation of EEG/MEG studies into novel principles of information processing, or into new treatment modalities for neural pathologies. HNN is a user-friendly software tool that provides a novel solution to this challenge. HNN gives researchers and clinicians the ability to test and develop hypotheses on the circuit mechanism underlying their EEG/MEG data in an easy-to-use environment. The foundation of HNN is a computational neural model that simulates the electrical activity of the neocortical cells and circuits that generate the primary electrical currents underlying EEG/MEG recordings based on known biophysics. We provide tutorials on how to import your data and to begin to understand the underlying circuit mechanisms, including layer specific responses, cell spiking activity, somatic voltages and both time and frequency domain signals. Data types: EEG/MEG, layer specific responses, cell spiking, somatic voltages, time and frequency domain signals. Weblink:

Grant #: EB022889 

Status: Completed


BRAIN Math Project - Jones.pptx

The tool has been delivered to the community through a newly developed website (, which has installation instructions, background information and tutorials.  Interest in the software has been growing exponentially with the number of downloads reaching over 4000 (up from ~500 when we submitted our grant renewal last September), and the number of unique website visits at ~15,000 (up from ~10,000 in Sept.) 


2021 Brain PI Meeting


Link to Poster:



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