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Human Neocortical Neurosolver

What is being modeled?
Human electro- and magneto-encephalography (EEG/MEG)
Description & purpose of resource

Magneto- and electro-encephalography (MEG/EEG) non-invasively record human brain activity with millisecond resolution providing reliable markers of healthy and disease states. Relating these macroscopic signals to underlying cellular- and circuit-level generators is a limitation that constrains using MEG/EEG to reveal novel principles of information processing or to translate findings into new therapies for neuropathology. To address this problem, we built Human Neocortical Neurosolver (HNN, software. HNN has a graphical user interface designed to help researchers and clinicians interpret the neural origins of MEG/EEG. HNN's core is a neocortical circuit model that accounts for biophysical origins of electrical currents generating MEG/EEG. Data can be directly compared to simulated signals and parameters easily manipulated to develop/test hypotheses on a signal's origin. Tutorials teach users to simulate commonly measured signals, including event related potentials and brain rhythms. HNN's ability to associate signals across scales makes it a unique tool for translational neuroscience research.

Spatial scales
Temporal scales
10-3 - 1 s
This resource is currently
mature and useful in ongoing research
Has this resource been validated?
How has the resource been validated?
Key publications (e.g. describing or using resource)
Stephanie Jones
PI contact information
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