TY - JOUR TI - Human Neocortical Neurosolver (HNN), a new software tool for interpreting the cellular and network origin of human MEG/EEG data AU - Neymotin, Samuel A AU - Daniels, Dylan S AU - Caldwell, Blake AU - McDougal, Robert A AU - Carnevale, Nicholas T AU - Jas, Mainak AU - Moore, Christopher I AU - Hines, Michael L AU - Hämäläinen, Matti AU - Jones, Stephanie R A2 - Ivry, Richard B A2 - Stolk, Arjen A2 - Stolk, Arjen A2 - Dalal, Sarang S VL - 9 PY - 2020 DA - 2020/01/22 SP - e51214 C1 - eLife 2020;9:e51214 DO - 10.7554/eLife.51214 UR - https://doi.org/10.7554/eLife.51214 AB - 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. KW - computational modeling KW - MEG/EEG KW - event related potentials KW - brain rhythms KW - translational neuroscience KW - thalamocortical system JF - eLife SN - 2050-084X PB - eLife Sciences Publications, Ltd ER -