# Inverse Solutions#

Linear inverse solvers based on L2 Minimum Norm Estimates (MNE).

 `InverseOperator` InverseOperator class to represent info from inverse operator. `apply_inverse`(evoked, inverse_operator[, ...]) Apply inverse operator to evoked data. `apply_inverse_cov`(cov, info, inverse_operator) Apply inverse operator to covariance data. `apply_inverse_epochs`(epochs, ...[, method, ...]) Apply inverse operator to Epochs. `apply_inverse_raw`(raw, inverse_operator, lambda2) Apply inverse operator to Raw data. `apply_inverse_tfr_epochs`(epochs_tfr, ...[, ...]) Apply inverse operator to EpochsTFR. `compute_source_psd`(raw, inverse_operator[, ...]) Compute source power spectral density (PSD). `compute_source_psd_epochs`(epochs, ...[, ...]) Compute source power spectral density (PSD) from Epochs. Compute the rank of a linear inverse operator (MNE, dSPM, etc.). `estimate_snr`(evoked, inv[, verbose]) Estimate the SNR as a function of time for evoked data. `make_inverse_operator`(info, forward, noise_cov) Assemble inverse operator. `prepare_inverse_operator`(orig, nave, lambda2) Prepare an inverse operator for actually computing the inverse. `read_inverse_operator`(fname, *[, verbose]) Read the inverse operator decomposition from a FIF file. `source_band_induced_power`(epochs, ...[, ...]) Compute source space induced power in given frequency bands. `source_induced_power`(epochs, ...[, label, ...]) Compute induced power and phase lock. `write_inverse_operator`(fname, inv, *[, ...]) Write an inverse operator to a FIF file. `make_inverse_resolution_matrix`(forward, ...) Compute resolution matrix for linear inverse operator. `resolution_metrics`(resmat, src[, function, ...]) Compute spatial resolution metrics for linear solvers. `get_cross_talk`(resmat, src, idx[, mode, ...]) Get cross-talk (CTFs) function for vertices. `get_point_spread`(resmat, src, idx[, mode, ...]) Get point-spread (PSFs) functions for vertices.

Non-Linear sparse inverse solvers.

 `mixed_norm`(evoked, forward, noise_cov[, ...]) Mixed-norm estimate (MxNE) and iterative reweighted MxNE (irMxNE). `tf_mixed_norm`(evoked, forward, noise_cov[, ...]) Time-Frequency Mixed-norm estimate (TF-MxNE). `gamma_map`(evoked, forward, noise_cov, alpha) Hierarchical Bayes (Gamma-MAP) sparse source localization method. `make_stc_from_dipoles`(dipoles, src[, verbose]) Convert a list of spatio-temporal dipoles into a SourceEstimate.

Beamformers for source localization.

 `Beamformer` A computed beamformer. `read_beamformer`(fname) Read a beamformer filter. `make_lcmv`(info, forward, data_cov[, reg, ...]) Compute LCMV spatial filter. `apply_lcmv`(evoked, filters, *[, verbose]) Apply Linearly Constrained Minimum Variance (LCMV) beamformer weights. `apply_lcmv_epochs`(epochs, filters, *[, ...]) Apply Linearly Constrained Minimum Variance (LCMV) beamformer weights. `apply_lcmv_raw`(raw, filters[, start, stop, ...]) Apply Linearly Constrained Minimum Variance (LCMV) beamformer weights. `apply_lcmv_cov`(data_cov, filters[, verbose]) Apply Linearly Constrained Minimum Variance (LCMV) beamformer weights. `make_dics`(info, forward, csd[, reg, ...]) Compute a Dynamic Imaging of Coherent Sources (DICS) spatial filter. `apply_dics`(evoked, filters[, verbose]) Apply Dynamic Imaging of Coherent Sources (DICS) beamformer weights. `apply_dics_csd`(csd, filters[, verbose]) Apply Dynamic Imaging of Coherent Sources (DICS) beamformer weights. `apply_dics_epochs`(epochs, filters[, ...]) Apply Dynamic Imaging of Coherent Sources (DICS) beamformer weights. `apply_dics_tfr_epochs`(epochs_tfr, filters[, ...]) Apply Dynamic Imaging of Coherent Sources (DICS) beamformer weights. `rap_music`(evoked, forward, noise_cov[, ...]) RAP-MUSIC source localization method. `make_lcmv_resolution_matrix`(filters, ...) Compute resolution matrix for LCMV beamformer.
 `Dipole`(times, pos, amplitude, ori, gof[, ...]) Dipole class for sequential dipole fits. `DipoleFixed`(info, data, times, nave, aspect_kind) Dipole class for fixed-position dipole fits. `fit_dipole`(evoked, cov, bem[, trans, ...]) Fit a dipole.

Single-dipole functions and classes.

 `get_phantom_dipoles`([kind]) Get standard phantom dipole locations and orientations.