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| | inv_cmne.cpp |
| | Implementation of the CMNE solver (dSPM kernel, z-score rectification, LSTM inference, optional training driver).
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| | inv_cmne.h |
| | Contextual Minimum-Norm Estimate (CMNE) inverse solver — deep-learning-corrected dSPM (Dinh et al. 2021).
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| | inv_cmne_settings.cpp |
| | Definition of the INVLIB::InvCMNESettings aggregate (default values).
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| | inv_cmne_settings.h |
| | Settings record for the INVLIB::InvCMNE solver (model path, sliding-window length, regularisation, base method).
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| | inv_minimum_norm.cpp |
| | Implementation of the linear minimum-norm solver including the eLORETA weight-iteration loop.
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| | inv_minimum_norm.h |
| | Linear minimum-norm inverse solver — MNE, dSPM, sLORETA and eLORETA from a precomputed MNEInverseOperator.
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