[Comp-neuro] Human Neocortical Neurosolver
stephanie_jones at brown.edu
Sat Feb 8 14:23:32 CET 2020
We are happy to announce a methods on our new software Human Neocortical Neurosolver (HNN) for cell and circuit level interpretation of human electro- and magneto-encephalography (EEG/MEG) is now in press in eLife and will be highlighted in the next issue of eLife digest.
Human Neocortical Neurolover (HNN), a new software tool for interpreting the cellular and network origin of human MEG/EEG data.
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, https://hnn.brown.edu) 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.
HNN is an NIH funded collaborative project and you can learn more at https://hnn.brown.edu.
Stephanie (on behalf of the HNN development team)
Stephanie R. Jones, PhD
Department of Neuroscience
Stephanie_Jones at Brown.edu
Human Neocortical Neurosolver
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