| NBIDSLIB | BIDS dataset reading, writing, path construction, and sidecar metadata handling for iEEG/EEG/MEG |
| NCOMLIB | Real-time client/server communication primitives for talking to mne_rt_server |
| NCONNECTIVITYLIB | Functional connectivity metrics (coherence, PLV, cross-correlation, etc.) |
| NDECODINGLIB | Supervised and unsupervised spatial-filter decompositions for M/EEG decoding |
| NDISP3DLIB | 3-D brain visualisation using the Qt RHI rendering backend |
| NDISPLIB | 2-D display widgets and visualisation helpers (charts, topography, colour maps) |
| NChannelInfoModelRoles | |
| NEvokedSetModelRoles | |
| NDSPLIB | Digital signal processing (filtering, spectrograms, real-time averaging, HPI, noise reduction) |
| NFIFFLIB | FIFF file I/O, in-memory data structures and high-level readers/writers |
| NFSLIB | FreeSurfer surface, annotation and parcellation I/O for mne-cpp |
| NFWDLIB | Forward modelling — BEM solver, spherical models, sensor/coil definitions and the lead-field assembly that links current dipoles to MEG/EEG sensor readings |
| NINVLIB | Inverse source estimation (MNE, dSPM, sLORETA, dipole fitting) |
| NLSLLIB | Lab Streaming Layer (LSL) integration for real-time data exchange |
| NMATHLIB | Mathematical algorithms and geometry (linear algebra, optimization, spectral estimation) |
| NMLLIB | Tensors, model abstraction, ONNX Runtime inference and Python training drivers used across mne-cpp |
| NMNALIB | MNE Analysis Container Format (mna/mnx) |
| NMNELIB | Core MNE data structures (source spaces, source estimates, hemispheres) |
| NMRILIB | Volume I/O, voxel geometry and slice resampling for structural MRI data inside mne-cpp |
| NRTPROCESSINGLIB | |
| NSTSLIB | Statistical testing (t-tests, F-tests, cluster permutation, multiple comparison correction) |
| NSURFACEKEYS | Centralised string constants for surface map keys |
| NUTILSLIB | Shared utilities (I/O helpers, spectral analysis, layout management, warp algorithms) |
1.16.1