config_dump_21_50_08.yaml 7.8 KB

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  1. !munch.Munch
  2. file_handling: !munch.Munch {data_path: /data/clinical/neural/fr/, results: /data/clinical/nf/results/,
  3. paradigm_config_file: paradigm.yaml, save_data: true, mode: ab, datafile_path: /data/clinical/neural/fr/2019-11-13,
  4. filename_data: /data/clinical/neural/fr/2019-11-13/data_21_50_08.bin, filename_baseline: /data/clinical/neural/fr/2019-11-13/bl_21_50_08.npy,
  5. filename_log_info: /data/clinical/neural/fr/2019-11-13/info_21_50_08.log, filename_log_debug: /data/clinical/neural/fr/2019-11-13/debug_21_50_08.log,
  6. filename_events: /data/clinical/neural/fr/2019-11-13/events_21_50_08.txt, filename_config: /data/clinical/neural/fr/2019-11-13/config_21_50_08.yaml,
  7. filename_paradigm: /data/clinical/neural/fr/2019-11-13/paradigm_21_50_08.yaml, filename_config_dump: /data/clinical/neural/fr/2019-11-13/config_dump_21_50_08.yaml,
  8. filename_git_patch: /data/clinical/neural/fr/2019-11-13/git_changes_21_50_08.patch,
  9. filename_history: /data/clinical/neural/fr/2019-11-13/history.bin, git_hash: 52c204f}
  10. paradigms: !munch.Munch
  11. exploration: !munch.Munch
  12. mode: [Screening]
  13. selected_mode: 0
  14. states: [SchliesseHand, BeugeRechtenMittelfinger, BeugeRechtenZeigefinger, BeugeRechtenDaumen,
  15. OeffneHand, StreckeRechtenMittelfinger, StreckeRechtenZeigefinger, StreckeRechtenDaumen]
  16. selected_states: [0, 1, 2, 3, 4, 5, 6, 7]
  17. audio_path: /kiap/data/speller/Audio/exploration
  18. number_of_stim: 5
  19. training_color: !munch.Munch
  20. mode: [Training]
  21. selected_mode: 0
  22. states:
  23. - - gelb
  24. - [E, A, D, C, B, F, ^]
  25. - - gruen
  26. - [N, S, R, O, M, P, Q, ^]
  27. - - rot
  28. - [I, H, L, G, K, J, ^]
  29. - - blau
  30. - [T, U, W, Z, V, Y, X, ^]
  31. - - weiss
  32. - [<, ' ', '?', word, end, ^]
  33. training_string: Gustav
  34. confirmation_yes: 1
  35. confirmation_no: 1
  36. feedback: !munch.Munch
  37. selected_mode: 0
  38. audio_path: /kiap/data/speller/feedback/
  39. symmetrical: true
  40. sounds: !munch.Munch {success: /kiap/data/speller/feedback/kerching.wav, fail: /kiap/data/speller/feedback/blarg.wav}
  41. mode: [Training, Validation]
  42. play_end_feedback: !munch.Munch {success: true, fail: true}
  43. number_of_stim: 10
  44. states: !munch.Munch
  45. up: [1.0, 0.7, 1.0]
  46. down: [0.0, 0.0, 0.3]
  47. variablesToShowInGUI: !munch.Munch
  48. variableGroups: [timing, color]
  49. variableNames: [t_baseline, t_response, bci_loop_interval, selected_mode, max_length_vocabulary]
  50. t: 1
  51. question: !munch.Munch
  52. mode: [Training, Validation, Free]
  53. selected_mode: 2
  54. audio_path: /kiap/data/speller/Audio/question
  55. number_of_stim: 10
  56. symmetrical: true
  57. color: !munch.Munch
  58. selected_mode: 1
  59. selected_confirmation_method: 1
  60. audio_path: /kiap/data/speller/Audio
  61. general_corpus: cfd_tiger.p
  62. mode: [Validation, Free]
  63. n_repeat_unclassified: 1
  64. word_prediction: false
  65. general_user_corpus: general_user_cfd.txt
  66. confirmation_methods: [single, double_yes, best_of_three]
  67. init_string: ''
  68. validation_string: ''
  69. states:
  70. - - gelb
  71. - [E, A, D, C, B, F, ^]
  72. - - gruen
  73. - [N, S, R, O, M, P, Q, ^]
  74. - - rot
  75. - [I, H, L, G, K, J, ^]
  76. - - blau
  77. - [T, U, W, Z, V, Y, X, ^]
  78. - - weiss
  79. - [<, ' ', end, ^]
  80. corpora_path: /kiap/data/speller/Corpora
  81. speller_user_corpus: speller_user.txt
  82. max_length_vocabulary: 5
  83. cerebus: !munch.Munch {instance: 0, buffer_reset: true, buffer_size_cont: 30001, buffer_size_comments: 500}
  84. lfp: !munch.Munch
  85. fs: 1000
  86. sampling_ratio: 30
  87. filter_fc_lb: [10, 0]
  88. filter_fc_mb: [12, 40]
  89. filter_fc_hb: [60, 250]
  90. filter_order_lb: 2
  91. filter_order_mb: 6
  92. filter_order_hb: 10
  93. artifact_thr: 400
  94. array1: [32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49,
  95. 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63]
  96. array21: [0, 1]
  97. array22: []
  98. array1_exclude: []
  99. array2_exclude: []
  100. i_start: 0
  101. i_stop: -1
  102. psth_win: [-1000, 5000]
  103. exclude: false
  104. normalize: false
  105. zscore: false
  106. car: true
  107. sub_band: 1
  108. motor_mapping: [Zunge, Schliesse_Hand, Oeffne_Hand, Bewege_Augen, Bewege_Kopf]
  109. spectra: !munch.Munch {spgr_len: 500}
  110. plot: !munch.Munch
  111. ch_ids: [0]
  112. general: true
  113. filters: false
  114. array2: [0, 1]
  115. speller: !munch.Munch {type: color, speller_matrix: true, audio: true, pyttsx_rate: 100,
  116. audio_result_fb: true}
  117. feedback: !munch.Munch {hold_iterations: 2, target_tone_length: 1.0, beta: 120, target_n_tones: 5,
  118. alpha: 360, tone_length: 0.25, feedback_tone: true}
  119. daq: !munch.Munch
  120. daq_sleep: 0.1
  121. normalization: !munch.Munch
  122. use_all_channels: false
  123. all_channels: !munch.Munch {bottom: 1.15625, top: 1.59375, invert: false}
  124. update_interval: 10.0
  125. range: [10, 90]
  126. channels:
  127. - !munch.Munch {id: 20, bottom: 14.0, top: 24.0, invert: true}
  128. len: 600.0
  129. do_update: false
  130. clamp_firing_rates: true
  131. trigger_len: 50
  132. data_source: spike_rates
  133. spike_band_power: !munch.Munch
  134. filter: !munch.Munch
  135. b: [0.956543225556877, -1.91308645111375, 0.956543225556877]
  136. a: [1, -1.91119706742607, 0.914975834801434]
  137. integrated_samples: 1500
  138. average_n_bins: 10
  139. loop_interval: 50
  140. sample_group: 6
  141. n_channels_max: 128
  142. spike_rates: !munch.Munch {n_units: 1, bin_width: 0.05, loop_interval: 50, method: boxcar,
  143. decay_factor: 0.9, max_bins: 20, bl_offset: 30.0, correct_bl: false, correct_bl_model: false}
  144. smpl_fct: 30
  145. exclude_channels: []
  146. car_channels: []
  147. fs: 30000.0
  148. n_channels: 128
  149. system: !munch.Munch {plot: 0}
  150. classifier: !munch.Munch
  151. trigger_pos: start
  152. online: false
  153. n_neg_train: 100000
  154. thr_prob: 0.8
  155. max_active_ch_nr: []
  156. path_model2: /data/clinical/neural/fr/2019-06-26/model2_104948.pkl
  157. psth: !munch.Munch
  158. cut: [-40, 100]
  159. model_training: !munch.Munch {save_model: false, model: scikit, solver: lsqr, cross_validation: true,
  160. n_splits: 5, test_size: 0.2, reg_fact: 0.3, fsel: false, triggers_plot: 3}
  161. deadtime: 40
  162. break_loop: true
  163. template: !!python/object/apply:numpy.core.multiarray._reconstruct
  164. args:
  165. - !!python/name:numpy.ndarray ''
  166. - !!python/tuple [0]
  167. - !!binary |
  168. Yg==
  169. state: !!python/tuple
  170. - 1
  171. - !!python/tuple [8]
  172. - !!python/object/apply:numpy.dtype
  173. args: [i8, 0, 1]
  174. state: !!python/tuple [3, <, null, null, null, -1, -1, 0]
  175. - false
  176. - !!binary |
  177. CgAAAAAAAAAOAAAAAAAAABIAAAAAAAAAFgAAAAAAAAAaAAAAAAAAAB4AAAAAAAAAIgAAAAAAAAAm
  178. AAAAAAAAAA==
  179. exclude_channels: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17,
  180. 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38,
  181. 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58,
  182. 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78,
  183. 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98,
  184. 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114,
  185. 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127]
  186. include_channels: [20]
  187. thr_window: 40
  188. n_classes: 2
  189. saved_model_conf_name: config/model_conf.yaml
  190. peaks: !munch.Munch {distance: 40, sig: pred, prefilter: false}
  191. n_triggers: 2
  192. exclude_data_channels: []
  193. path_model1: /data/clinical/neural/fr/2019-06-26/model1_104948.pkl
  194. n_features: 1024
  195. sim_data: !munch.Munch {rate_bl: 10}
  196. recording: !munch.Munch
  197. timing: !munch.Munch {t_baseline_all: 1.0, t_after_stimulus: 0.2, bci_loop_interval: 0.05,
  198. t_response: 5.0, recording_loop_interval_data: 0.02, decoder_refresh_interval: 0.01,
  199. t_baseline_rand: 1.0, t_baseline_1: 5.0, recording_loop_interval: 0.05}
  200. buffer: !munch.Munch
  201. length: 600
  202. shape: [600, 128]
  203. supplemental_config: [config/model_conf.yaml, config/channels.yaml, config/colorspeller.yaml]
  204. session: !munch.Munch
  205. flags: !munch.Munch {decode: false, bl_rand: true, bl: true, stimulus: true}
  206. plot: !munch.Munch
  207. filter_min_rate: 2
  208. pca: false
  209. channels: [20, 24, 96]
  210. fps: 10.0
  211. general: !munch.Munch {debug: 1, clear_trial_history: false}