Module resolution 

Resolution matrix computation.

The resolution matrix R = K @ G describes how source activity is mapped through the inverse and forward operators. It characterises the spatial blurring (leakage) of the inverse solution:

• For an ideal inverse, R = I (perfect localisation).
• In practice, each row of R shows how activity at one source “leaks” to all other sources.

Metrics

• Peak localisation error: distance between the true source and the peak of the corresponding PSF.
• Spatial spread: width of the PSF (e.g., half-max radius).
• Relative amplitude: ratio of peak to off-peak activity.

References

Hauk et al. (2011). “Comparison of noise-normalized minimum norm estimates for MEG analysis using a visual paradigm.” NeuroImage.

Ported from MNE-Python’s mne.minimum_norm.resolution_matrix.

Functions

get_cross_talk

Cross-talk function (CTF) for a given source index.

get_point_spread

Point-spread function (PSF) for a given source index.

make_resolution_matrix

Compute the resolution matrix R = K @ G.

peak_localisation_error

Compute peak localisation error for each source.

relative_amplitude

Compute relative amplitude for each PSF.

spatial_spread

Compute spatial spread (half-max width) for each PSF.