├── .gitattributes ├── .github └── workflows │ └── python-app.yml ├── .gitignore ├── LICENSE ├── README.md ├── __init__.py ├── args.py ├── args_test.py ├── cichy_data.py ├── classifiers_linear.py ├── classifiers_simpleNN.py ├── classifiers_wavenet.py ├── donders_data.py ├── examples ├── args_cichy92_lda_pca_fe_multiclass.py ├── args_lda_nn_chn_multiclass.py ├── args_lda_nn_fe_multiclass.py ├── args_lda_nn_fe_multiclass2pairwise.py ├── args_lda_nn_fe_multiclass_spatialPFI.py ├── args_lda_nn_fe_multiclass_spatiotemporal.py ├── args_lda_nn_fe_multiclass_spectralPFI.py ├── args_lda_nn_fe_multiclass_temporalPFI.py ├── args_lda_nn_fe_multiclass_temporospectralPFI.py ├── args_lda_nn_fe_pairwise.py ├── args_lda_nn_sw_multiclass.py ├── args_lda_pca_fe_multiclass.py ├── args_lda_pca_sw_multiclass.py ├── args_nn.py ├── closest1 └── closest4 ├── gpt_quantized.py ├── launch.py ├── launch_ddp.py ├── legacy ├── attention_models.py ├── cnn_models.py ├── collate.py ├── fcn_models.py ├── lda.py ├── neural_training.py ├── preprocess.py ├── submit.sh ├── transformer.py ├── transformer_toymodel.py └── utils.py ├── loss.py ├── matlab ├── LDA_pca.m ├── SVM_pca_window_onevsall.m ├── ScriptForRichard.m ├── ScriptForRichard_cluster.m ├── analysis.m ├── eyetracker.m ├── get_sensor_name.m ├── hmm_cichy.m ├── load_replay.m ├── plot_state_sequence.m ├── preproc_donders.m ├── preproc_rich.m ├── preproc_simulated.m ├── preproc_simulated_same.m ├── reord.m ├── set_bad_events.m └── test.m ├── module_tests ├── __init__.py ├── test_transformer_quantized.py └── test_transformer_quantized_concat_out.py ├── mrc_data.py ├── notebooks ├── AR_quantized.ipynb ├── PFI.ipynb ├── analyse_opm.ipynb ├── anaylse_ctf.ipynb ├── args.py ├── cichy_check_outliers.ipynb ├── cichy_preprocess.ipynb ├── closest1 ├── closest4 ├── confusion_mat.ipynb ├── eeg_analysis.ipynb ├── eeg_closest1 ├── eeg_ica_check.ipynb ├── eeg_visu.ipynb ├── eeg_visu │ ├── 1trial_convolved.png │ ├── 2trial_convolved.png │ ├── C4_evoked.png │ ├── F8_evoked.png │ ├── FT8_evkd_words.png │ ├── OZ_evkd_words.png │ ├── PO7_comparison.png │ ├── PO7_evoked.png │ ├── T7_evoked.png │ ├── clusterings.png │ ├── covariances.png │ ├── evkd_convolved.png │ ├── lin_reg_denoising.png │ ├── pca_comp0.png │ └── riemann_dist_covs.png ├── embedding_analysis.ipynb ├── hmm_training.ipynb ├── input_backprop.ipynb ├── kernelPFI.ipynb ├── lda_decoding.ipynb ├── lda_inversion.ipynb ├── manual_ica.ipynb ├── meg_visu.ipynb ├── model_mod.ipynb ├── mvpa_figures │ ├── LDAchannel.png │ ├── PFIch.png │ ├── PFIch_inverse.png │ ├── PFIts.png │ ├── animation.gif │ ├── cichy118_epoch.png │ ├── cichy118_pfits.png │ ├── cichy92_epoch.png │ ├── cichy92_pfits.png │ ├── models.png │ ├── pairwise118.png │ ├── pairwise92.png │ ├── pairwise_replay.png │ ├── replay_full.png │ ├── replay_pfi.png │ ├── sliding_comparison.png │ ├── spatial_gradients.png │ ├── spatiotemporal.png │ ├── temporal_gradient.png │ └── window_sizes.png ├── mvpa_paper.ipynb ├── mvpa_paper_tutorial.ipynb ├── opm_analysis.ipynb ├── opm_mfc.ipynb ├── opm_mne.ipynb ├── pca_vs_conv.ipynb ├── raw_distribution.ipynb ├── rich_data_oslpy.ipynb ├── richard_analyse.ipynb ├── simulation.ipynb ├── spectralPFI.ipynb ├── stats.ipynb ├── streaming.ipynb ├── subject_entropy.ipynb ├── testing.ipynb ├── things.ipynb ├── things_visualizations.ipynb ├── visualizations.ipynb ├── wavenet_cont.ipynb └── weight_analysis.ipynb ├── requirements.txt ├── scripts ├── .DS_Store ├── cichy92_download.py ├── cichy92_preproc_epoched.py ├── cichy_download.py ├── cichy_preproc_epoched.py ├── cichy_preprocess.py ├── copy_stuff.py ├── download.py ├── eeg_epoch.py ├── epoch_generated.py ├── epoch_replay.py ├── extract_events.py ├── extract_headpos.py ├── get_covariances.py ├── hmm_spectra.py ├── hmm_training.py ├── opm_mne.py ├── opm_preproc_inner.py ├── opm_preproc_read.py ├── patterns.py ├── plot.py ├── plot_topo.py ├── preproc_disp_inner.py ├── preproc_disp_inner_megatrial.py ├── preproc_disp_inner_old.py ├── preproc_disp_position.py ├── preproc_disp_read.py ├── preproc_disp_separate.py ├── preproc_eeg_inner.py ├── preproc_eeg_inner_bc.py ├── preproc_eeg_simple.py ├── preproc_osl.py ├── preprocess_disp.py ├── preprocess_disp_ctf.py ├── preprocess_disp_eeg.py ├── preprocess_eeg.py ├── test_quantizer.py ├── things_preprocess.py └── visualizations.py ├── simulated_data.py ├── tests ├── results │ ├── lda_nn │ │ └── subj0 │ │ │ ├── sliding_channels │ │ │ ├── test_loss.txt │ │ │ ├── train_loss.txt │ │ │ └── val_loss.txt │ │ │ ├── sliding_windows │ │ │ ├── test_loss.txt │ │ │ ├── train_loss.txt │ │ │ └── val_loss.txt │ │ │ ├── spatialPFI │ │ │ └── val_loss_PFIclosest1.npy │ │ │ ├── spatiotemporalPFI │ │ │ └── val_loss_PFIclosest4.npy │ │ │ ├── spectralPFI │ │ │ └── val_loss_PFIfreqs0.npy │ │ │ ├── temporalPFI │ │ │ └── val_loss_PFIts.npy │ │ │ └── temporospectralPFI │ │ │ └── val_loss_PFIfreqs_ts2.npy │ └── lda_pca │ │ └── subj0 │ │ └── sliding_windows │ │ ├── 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