v2.0.0
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Class List
Here are the classes, structs, unions and interfaces with brief descriptions:
[detail level 1234]
 NBIDSLIBBIDS dataset reading, writing, path construction, and sidecar metadata handling for iEEG/EEG/MEG
 NCOMLIBReal-time client/server communication primitives for talking to mne_rt_server
 NCONNECTIVITYLIBFunctional connectivity metrics (coherence, PLV, cross-correlation, etc.)
 NDECODINGLIBSupervised and unsupervised spatial-filter decompositions for M/EEG decoding
 NDISP3DLIB3-D brain visualisation using the Qt RHI rendering backend
 NDISPLIB2-D display widgets and visualisation helpers (charts, topography, colour maps)
 NFIFFLIBFIFF file I/O, in-memory data structures and high-level readers/writers
 NFSLIBFreeSurfer surface, annotation and parcellation I/O for mne-cpp
 NFWDLIBForward modelling — BEM solver, spherical models, sensor/coil definitions and the lead-field assembly that links current dipoles to MEG/EEG sensor readings
 NIEEGLIBIntracranial EEG (sEEG, ECoG): implantation, bipolar referencing, cortical mapping
 NINVLIBInverse source estimation (MNE, dSPM, sLORETA, dipole fitting)
 NLSLLIBLab Streaming Layer (LSL) integration for real-time data exchange
 NMLLIBTensors, model abstraction, ONNX Runtime inference and Python training drivers used across mne-cpp
 NMNALIBMNE Analysis Container Format (mna/mnx)
 NMNELIBCore MNE data structures (source spaces, source estimates, hemispheres)
 NMRILIBVolume I/O, voxel geometry and slice resampling for structural MRI data inside mne-cpp
 NRTPROCESSINGLIB
 NSTSLIBStatistical testing (t-tests, F-tests, cluster permutation, multiple comparison correction)
 NUTILSLIBShared utilities (I/O helpers, spectral analysis, layout management, warp algorithms)
 CCrosshairOverlay
 CFiffCoordTransLabelled 4x4 FIFF affine: source frame, destination frame, rotation, translation and cached inverse
 CRulerHeaderWidget
 CVideoOverlayCamera-facing textured quad rendered at a focus point in the 3-D scene