Modules

Beyond the solver implementations, invertmeeg provides several supporting modules for simulation, evaluation, visualization, and benchmarking.

Available Modules

Simulation

Generate synthetic M/EEG data with configurable source activations, noise levels, and spatial patterns. Essential for validating inverse methods and running controlled experiments.

Evaluation

Metrics and tools for evaluating inverse solution quality, including localization error, spatial dispersion, and correlation measures.

Visualization

Plotting utilities for displaying source estimates, including glass brain views and surface plots.

Forward Modeling

Utilities for working with forward models, including leadfield manipulation and source space operations.

Benchmarking

Framework for systematically comparing solver performance across datasets and conditions.