Solvers#

This is the comprehensive list of all available solvers. Each solver has its own class

Minimum Norm-Type#

  • Minimum Norm Estimates (MNE)

  • Weighted Minimum Norm Estimates (wMNE)

  • Dynamic Statistical Parametric Mapping (dSPM)

  • Minimum Current Estimates (FISTA)

  • L1-L2 Optimization (L1L2)

  • Chat GPT’s FISTA (GPT)

LORETA#

  • Low-Resolution Tomography (LORETA)

  • Standardized Low-Resolution Tomography (sLORETA)

  • Exact Low-Resolution Tomography (eLORETA)

  • S-MAP (S-MAP)

Weighted Resolution Optimization#

  • Backus-Gilbert (BG)

  • Local Autoregressive Average (LAURA)

Bayesian Inverse Solutions#

  • Gamma - Maximum A Posteriori (Gamma-MAP)

  • Gamma - Maximum A Posteriori using Multiple Sparse Priors (Source-MAP-MSP)

  • Source - Maximum A Posteriori (Source-MAP)

  • Source - Maximum A Posteriori using Multiple Sparse Priors (Source-MAP-MSP)

  • Bayesian Compressed Sensing (BCS)

  • Champagne (Champagne)

  • Low SNR Champagne (Low SNR Champagne)

  • Expectation Maximization Champagne (EM Champagne)

  • Majorization Maximization Champagne (MM Champagne)

  • MacKay Champagne (MacKay-Champagne)

  • Convexity Champagne (Convexity-Champagne)

  • Homoscedasticity Champagne (HS-Champagne)

  • Full-Structure Noise Learning (FUN)

Matching Pursuit#

  • Orthogonal Matching Pursuit (OMP)

  • Simultaneous Orthogonal Matching Pursuit (SOMP)

  • Compressed Sampling Matching Pursuit (CoSaMP)

  • Reduce Multi-Measurement-Vector and Boost (ReMBo)

  • Subspace Pursuit (SP)

  • Simultaneous Subspace Pursuit (SSP)

Smooth Matching Pursuit#

  • Smooth Orthogonal Matching Pursuit (SMP)

  • Smooth Simultaneous Orthogonal Matching Pursuit (SSMP)

  • Smooth Subspace Simultaneous Orthogonal Matching Pursuit (SubSMP)

MUSIC#

  • Multiple Signal Classification (MUSIC)

  • Recursively Applied MUSIC (RAP-MUSIC)

  • Truncated RAP-Music (TRAP-MUSIC)

  • Truncated RAP-Music for flexible extent estimation (FLEX-MUSIC)

Artificial Neural Networks#

  • Convolutional Neural Network for Spatio-Temporal Inverse Solution (CNN)

  • Long-Short Term Memory Network for Spatio-Temporal Inverse Solution (LSTM)

  • Fully-Connected Neural Network for Inverse Solution at single time instances (FC)

  • Covariance-based Convolutional Neural Network for Spatio-Temporal Inverse Solution (CovCNN)

Beamformers#

  • Minimum Variance Adaptive Beamformer (MVAB)

  • Linearly Constrained Minimum Variance Beamformer (LCMV)

  • Standardized Minimum Variance Beamformer (SMV)

  • Weight-normalized Minimum Variance Beamformer (WNMV)

  • Higher-Order Covariance Minimum Variance Beamformer (HOCMV)

  • Eigenspace-Based Minimum Variance Beamformer (ESMV)

  • Multiple Constrained Minimum Variance Beamformer (MCMV)

  • Higher-Order Covariance Multiple Constrained Minimum Variance Beamformer (HOCMCMV)

  • Reciprocal Phase Shift Invariant Imaging of Coherent Sources (ReciPSIICOS) Beamformer

  • Synthetic Aperture Magnetometry (SAM)

Other#