[ENH] Baseline selection from the panel #9
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Edouard2laire
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Oct 6, 2023
fix a bug introduced in #9
Edouard2laire
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Mar 12, 2025
* improve MNE solver * use scale 3 for nirs noise covariance * disable noise covariance in MNE for now * keep all the power for nirs * Par-for optimization (#8) * don't display progress bar for standalone * First implementation * clean code * aestetic changes * more aesthetic change * add spaces * MNE kernel (#9) * Improve parameter choice for l-curve * Improve kernel estimation using SVD trick to compute the norm * small changes (#10) * Improve parameter choice for l-curve * Improve kernel estimation using SVD trick to compute the norm * better handle figures * Remove be_main_wmem * don't transpose the inversion matrix * oups * Move the normalization outside be_launch_mem * Move the conversion to time-series outside be_launch_mem * minor changes * clean up output * more clean-up on be_slice_obj * Merge pull request #11 from Edouard2laire/be_free_energy Optimize be_free_energy and be_mem_struct * save sigma_s under obj rather than option * pre-compute G * active_var * some cleaning * Even more optim * last changes * fix call to be_fusion_of_modalities * cleam up MNE code * Save wMEM results as factor decomposition * fix format of obj.data * [bugfix] Fix the covariance matrix along the cortical surface (#17) * Attempt to fix the covariance matrix * refactor changes * remove previous trick to be safer * update optimization function (#16) * attempt to use hessian to speed up calculation * use hessian * Remove Hessian for now * [refactor] call be_fusion_of_modality in MNE * [be_fusion_of_modality] also create the normalized data/gain * Some refactor on MNE * continuation * remove progress bar * several bugfixes * put back quasi-netwon for now trust-region very slow for MEG * Improve code performance (#18) * pre-compute some matrix * Improve call to be_dwsynthesis * clean code * Add option 7 for alpha * Add option to use noise covariance in MNE. (default to false) * Refactor memstruct (#19) * more refactor on memstruct * more refactor * more refactor * Fix memory issue for EEG/MEG * temporary move new implementation to be_free_energy2 * start support for custom mean / inactive variance * add unsaved change * remove unnecessary sum * minor cosmetic change * bug fix and clean code * also reduce cMEM file size if only a part of the signal is localized * Put back for loop (so much faster for nirs) * Add datatype to pipeline options * wavvelet_inverse_projection: use sparse matrix to avoid memory issue * remove extra message from be_slice_obj * bugfix when using inactive variance * Add be_pagemtimes for backward compatibility * officially replace be_free_energy * Remove be_launch_mem2 * Apply comments * FIx QR decomposition for matlab < 2022a R was not a triangular matrix... * be_pipelineoption; fix typo * improve normalization (adpatative vs fixe) * Fix figure display (reuse figure) * Improve entropy drop display for cMEM * Add a flag controling the output form (full or factor) (python only support full) * Cleanup option before saving * small refactor * fix rMEM code (part I / II) (#20) * fix rMEM * some cleaning * WIP on rMEM * Add new option in the control panel * minor update * Revert "fix rMEM code (part I / II) (#20)" This reverts commit b040ed1. * update version
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If multiple baselines are found in the brainstorm database, ask the user to select the baseline instead of selecting the first file, which would often be a wrong choice.
To avoid showing too many baseline, only show the baseline of the subject