HNN

HNN simulates biophysical neocortical circuit activity to link human magnetoencephalography (MEG) and electroencephalography (EEG) signals to their cellular and network generators.

Key Features:

• Detailed neocortical circuit model: Simulates biophysical processes responsible for generating electrical currents detectable by MEG and EEG.
• Macroscopic signal simulation: Produces simulated MEG/EEG signals including event-related potentials and brain rhythms.
• Scale linking: Connects macroscopic MEG/EEG signals to cellular- and circuit-level generators.
• Empirical-simulation comparison: Enables direct comparison between empirical MEG/EEG data and simulated signals.
• Parameter manipulation for hypothesis testing: Allows systematic variation of model parameters to test hypotheses about signal origins.

Scientific Applications:

• Mechanistic interpretation of MEG/EEG: Interpret event-related potentials and brain rhythms in terms of underlying cellular and circuit mechanisms.
• Multiscale neuroscience: Bridge cellular-level events and network phenomena to study information processing principles.
• Translational investigations: Support hypothesis testing relevant to healthy and diseased brain states and development of therapeutic strategies for neuropathological conditions.

Methodology:

Uses a detailed biophysical neocortical circuit model to simulate electrical currents detectable by MEG/EEG, supports direct comparison of empirical and simulated signals, and permits manipulation of model parameters for hypothesis testing.