!munch.Munch supplemental_config: [config/model_conf.yaml, config/channels.yaml, config/feedback.yaml] daq: !munch.Munch fs: 30000.0 exclude_channels: [] n_channels_max: 128 spike_rates: !munch.Munch {n_units: 1, bin_width: 0.05, loop_interval: 50, method: boxcar, decay_factor: 0.9, max_bins: 20, bl_offset: 30.0, correct_bl: false, correct_bl_model: false} spike_band_power: !munch.Munch loop_interval: 50 filter: !munch.Munch b: [0.956543225556877, -1.91308645111375, 0.956543225556877] a: [1, -1.91119706742607, 0.914975834801434] sample_group: 6 average_n_bins: 10 integrated_samples: 1500 normalization: !munch.Munch channels: - !munch.Munch {id: 23, bottom: 2.5, top: 7.0, invert: true} update_interval: 10.0 all_channels: !munch.Munch {bottom: 1.15625, top: 1.59375, invert: false} range: [10, 90] clamp_firing_rates: true do_update: false use_all_channels: false len: 600.0 daq_sleep: 0.1 car_channels: [] trigger_len: 50 data_source: spike_rates smpl_fct: 30 n_channels: 128 classifier: !munch.Munch thr_prob: 0.8 break_loop: true deadtime: 40 n_classes: 2 thr_window: 40 n_neg_train: 100000 path_model2: /data/clinical/neural/fr/2019-06-26/model2_104948.pkl model_training: !munch.Munch {save_model: false, model: scikit, solver: lsqr, cross_validation: true, n_splits: 5, test_size: 0.2, reg_fact: 0.3, fsel: false, triggers_plot: 3} trigger_pos: start exclude_data_channels: [] peaks: !munch.Munch {distance: 40, sig: pred, prefilter: false} exclude_channels: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127] max_active_ch_nr: [] psth: !munch.Munch cut: [-40, 100] online: false include_channels: [20] path_model1: /data/clinical/neural/fr/2019-06-26/model1_104948.pkl saved_model_conf_name: config/model_conf.yaml template: !!python/object/apply:numpy.core.multiarray._reconstruct args: - !!python/name:numpy.ndarray '' - !!python/tuple [0] - !!binary | Yg== state: !!python/tuple - 1 - !!python/tuple [8] - !!python/object/apply:numpy.dtype args: [i8, 0, 1] state: !!python/tuple [3, <, null, null, null, -1, -1, 0] - false - !!binary | CgAAAAAAAAAOAAAAAAAAABIAAAAAAAAAFgAAAAAAAAAaAAAAAAAAAB4AAAAAAAAAIgAAAAAAAAAm AAAAAAAAAA== n_triggers: 2 n_features: 1024 file_handling: !munch.Munch {data_path: /data/clinical/neural/fr/, results: /data/clinical/nf/results/, paradigm_config_file: paradigm.yaml, save_data: true, mode: ab, datafile_path: /data/clinical/neural/fr/2020-01-21, filename_data: /data/clinical/neural/fr/2020-01-21/data_17_27_06.bin, filename_baseline: /data/clinical/neural/fr/2020-01-21/bl_17_27_06.npy, filename_log_info: /data/clinical/neural/fr/2020-01-21/info_17_27_06.log, filename_log_debug: /data/clinical/neural/fr/2020-01-21/debug_17_27_06.log, filename_events: /data/clinical/neural/fr/2020-01-21/events_17_27_06.txt, filename_config: /data/clinical/neural/fr/2020-01-21/config_17_27_06.yaml, filename_paradigm: /data/clinical/neural/fr/2020-01-21/paradigm_17_27_06.yaml, filename_config_dump: /data/clinical/neural/fr/2020-01-21/config_dump_17_27_06.yaml, filename_git_patch: /data/clinical/neural/fr/2020-01-21/git_changes_17_27_06.patch, filename_history: /data/clinical/neural/fr/2020-01-21/history.bin, git_hash: 52c204f} sim_data: !munch.Munch {rate_bl: 10} lfp: !munch.Munch fs: 1000 sampling_ratio: 30 filter_fc_lb: [10, 0] filter_fc_mb: [12, 40] filter_fc_hb: [60, 250] filter_order_lb: 2 filter_order_mb: 6 filter_order_hb: 10 artifact_thr: 400 array1: [32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63] array21: [0, 1] array22: [] array1_exclude: [] array2_exclude: [] i_start: 0 i_stop: -1 psth_win: [-1000, 5000] exclude: false normalize: false zscore: false car: true sub_band: 1 motor_mapping: [Zunge, Schliesse_Hand, Oeffne_Hand, Bewege_Augen, Bewege_Kopf] spectra: !munch.Munch {spgr_len: 500} plot: !munch.Munch ch_ids: [0] general: true filters: false array2: [0, 1] speller: !munch.Munch {audio: true, speller_matrix: true, type: feedback, audio_result_fb: true, pyttsx_rate: 100} session: !munch.Munch flags: !munch.Munch {decode: false, stimulus: true, bl: true, bl_rand: true} paradigms: !munch.Munch feedback: !munch.Munch play_end_feedback: !munch.Munch {success: true, fail: true} mode: [Training, Validation] audio_path: /kiap/data/speller/feedback/ selected_mode: 0 symmetrical: true number_of_stim: 10 states: !munch.Munch down: [0.0, 0.0, 0.3] up: [1.0, 0.7, 1.0] sounds: !munch.Munch {success: /kiap/data/speller/feedback/kerching.wav, fail: /kiap/data/speller/feedback/blarg.wav} exploration: !munch.Munch mode: [Screening] selected_mode: 0 states: [SchliesseHand, BeugeRechtenMittelfinger, BeugeRechtenZeigefinger, BeugeRechtenDaumen, OeffneHand, StreckeRechtenMittelfinger, StreckeRechtenZeigefinger, StreckeRechtenDaumen] selected_states: [0, 1, 2, 3, 4, 5, 6, 7] audio_path: /kiap/data/speller/Audio/exploration number_of_stim: 5 training_color: !munch.Munch mode: [Training] selected_mode: 0 states: - - gelb - [E, A, D, C, B, F, ^] - - gruen - [N, S, R, O, M, P, Q, ^] - - rot - [I, H, L, G, K, J, ^] - - blau - [T, U, W, Z, V, Y, X, ^] - - weiss - [<, ' ', '?', word, end, ^] training_string: Gustav confirmation_yes: 1 confirmation_no: 1 variablesToShowInGUI: !munch.Munch variableGroups: [timing, color] variableNames: [t_baseline, t_response, bci_loop_interval, selected_mode, max_length_vocabulary] t: 1 question: !munch.Munch mode: [Training, Validation, Free] selected_mode: 2 audio_path: /kiap/data/speller/Audio/question number_of_stim: 10 symmetrical: true color: !munch.Munch mode: [Validation, Free] selected_mode: 1 states: - - gelb - [E, A, D, C, B, F, ^] - - gruen - [N, S, R, O, M, P, Q, ^] - - rot - [I, H, L, G, K, J, ^] - - blau - [T, U, W, Z, V, Y, X, ^] - - weiss - [<, ' ', end, ^] max_length_vocabulary: 5 confirmation_methods: [single, double_yes, best_of_three] selected_confirmation_method: 1 corpora_path: /kiap/data/speller/Corpora audio_path: /kiap/data/speller/Audio general_corpus: cfd_tiger.p general_user_corpus: general_user_cfd.txt speller_user_corpus: speller_user.txt word_prediction: false validation_string: '' init_string: '' n_repeat_unclassified: 1 cerebus: !munch.Munch {instance: 0, buffer_reset: true, buffer_size_cont: 30001, buffer_size_comments: 500} feedback: !munch.Munch {beta: 120, alpha: 360, target_n_tones: 5, hold_iterations: 2, target_tone_length: 1.0, feedback_tone: true, tone_length: 0.25} plot: !munch.Munch filter_min_rate: 2 channels: [96, 98] pca: false fps: 10.0 recording: !munch.Munch timing: !munch.Munch {recording_loop_interval: 0.05, t_baseline_1: 5.0, recording_loop_interval_data: 0.02, decoder_refresh_interval: 0.01, t_baseline_all: 1.0, t_response: 5.0, t_after_stimulus: 0.2, bci_loop_interval: 0.05, t_baseline_rand: 1.0} system: !munch.Munch {plot: 0} general: !munch.Munch {debug: 1, clear_trial_history: false} buffer: !munch.Munch length: 600 shape: [600, 128]