config_dump_21_22_28.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/2019-10-08,
  4. filename_data: /data/clinical/neural/fr/2019-10-08/data_21_22_28.bin, filename_baseline: /data/clinical/neural/fr/2019-10-08/bl_21_22_28.npy,
  5. filename_log_info: /data/clinical/neural/fr/2019-10-08/info_21_22_28.log, filename_log_debug: /data/clinical/neural/fr/2019-10-08/debug_21_22_28.log,
  6. filename_events: /data/clinical/neural/fr/2019-10-08/events_21_22_28.txt, filename_config: /data/clinical/neural/fr/2019-10-08/config_21_22_28.yaml,
  7. filename_paradigm: /data/clinical/neural/fr/2019-10-08/paradigm_21_22_28.yaml, filename_config_dump: /data/clinical/neural/fr/2019-10-08/config_dump_21_22_28.yaml,
  8. filename_git_patch: /data/clinical/neural/fr/2019-10-08/git_changes_21_22_28.patch,
  9. filename_history: /data/clinical/neural/fr/2019-10-08/history.bin, git_hash: 52c204f}
  10. plot: !munch.Munch
  11. pca: false
  12. filter_min_rate: 2
  13. channels: [20, 24, 96]
  14. fps: 10.0
  15. paradigms: !munch.Munch
  16. feedback: !munch.Munch
  17. mode: [Training, Validation]
  18. audio_path: /kiap/data/speller/feedback/
  19. states: !munch.Munch
  20. up: [1.0, 0.7, 1.0]
  21. down: [0.0, 0.0, 0.3]
  22. play_end_feedback: !munch.Munch {fail: true, success: true}
  23. symmetrical: true
  24. sounds: !munch.Munch {success: /kiap/data/speller/feedback/kerching.wav, fail: /kiap/data/speller/feedback/blarg.wav}
  25. selected_mode: 0
  26. number_of_stim: 10
  27. training_color: !munch.Munch
  28. mode: [Training]
  29. selected_mode: 0
  30. states:
  31. - - gelb
  32. - [E, A, D, C, B, F, ^]
  33. - - gruen
  34. - [N, S, R, O, M, P, Q, ^]
  35. - - rot
  36. - [I, H, L, G, K, J, ^]
  37. - - blau
  38. - [T, U, W, Z, V, Y, X, ^]
  39. - - weiss
  40. - [<, ' ', '?', word, end, ^]
  41. training_string: Gustav
  42. confirmation_yes: 1
  43. confirmation_no: 1
  44. exploration: !munch.Munch
  45. mode: [Screening]
  46. selected_mode: 0
  47. states: [SchliesseHand, BeugeRechtenMittelfinger, BeugeRechtenZeigefinger, BeugeRechtenDaumen,
  48. OeffneHand, StreckeRechtenMittelfinger, StreckeRechtenZeigefinger, StreckeRechtenDaumen]
  49. selected_states: [0, 1, 2, 3, 4, 5, 6, 7]
  50. audio_path: /kiap/data/speller/Audio/exploration
  51. number_of_stim: 5
  52. question: !munch.Munch
  53. mode: [Training, Validation, Free]
  54. selected_mode: 2
  55. audio_path: /kiap/data/speller/Audio/question
  56. number_of_stim: 10
  57. symmetrical: true
  58. color: !munch.Munch
  59. mode: [Validation, Free]
  60. selected_mode: 1
  61. states:
  62. - - gelb
  63. - [E, A, D, C, B, F, ^]
  64. - - gruen
  65. - [N, S, R, O, M, P, Q, ^]
  66. - - rot
  67. - [I, H, L, G, K, J, ^]
  68. - - blau
  69. - [T, U, W, Z, V, Y, X, ^]
  70. - - weiss
  71. - [<, ' ', end, ^]
  72. max_length_vocabulary: 5
  73. confirmation_methods: [single, double_yes, best_of_three]
  74. selected_confirmation_method: 1
  75. corpora_path: /kiap/data/speller/Corpora
  76. audio_path: /kiap/data/speller/Audio
  77. general_corpus: cfd_tiger.p
  78. general_user_corpus: general_user_cfd.txt
  79. speller_user_corpus: speller_user.txt
  80. word_prediction: false
  81. validation_string: ''
  82. init_string: ''
  83. n_repeat_unclassified: 1
  84. variablesToShowInGUI: !munch.Munch
  85. variableGroups: [timing, color]
  86. variableNames: [t_baseline, t_response, bci_loop_interval, selected_mode, max_length_vocabulary]
  87. t: 1
  88. cerebus: !munch.Munch {instance: 0, buffer_reset: true, buffer_size_cont: 30001, buffer_size_comments: 500}
  89. supplemental_config: [config/model_conf.yaml, config/channels.yaml, config/feedback.yaml]
  90. general: !munch.Munch {debug: 1, clear_trial_history: false}
  91. system: !munch.Munch {plot: 0}
  92. daq: !munch.Munch
  93. spike_rates: !munch.Munch {n_units: 1, bin_width: 0.05, loop_interval: 50, method: boxcar,
  94. decay_factor: 0.9, max_bins: 20, bl_offset: 30.0, correct_bl: false, correct_bl_model: false}
  95. exclude_channels: []
  96. data_source: spike_rates
  97. spike_band_power: !munch.Munch
  98. loop_interval: 50
  99. integrated_samples: 1500
  100. average_n_bins: 10
  101. sample_group: 6
  102. filter: !munch.Munch
  103. b: [0.956543225556877, -1.91308645111375, 0.956543225556877]
  104. a: [1, -1.91119706742607, 0.914975834801434]
  105. smpl_fct: 30
  106. normalization: !munch.Munch
  107. use_all_channels: false
  108. range: [10, 90]
  109. do_update: false
  110. update_interval: 10.0
  111. len: 600.0
  112. channels:
  113. - !munch.Munch {id: 20, bottom: 11.0, top: 21.0, invert: true}
  114. all_channels: !munch.Munch {bottom: 1.15625, top: 1.59375, invert: false}
  115. clamp_firing_rates: true
  116. trigger_len: 50
  117. car_channels: []
  118. fs: 30000.0
  119. n_channels_max: 128
  120. daq_sleep: 0.1
  121. n_channels: 128
  122. sim_data: !munch.Munch {rate_bl: 10}
  123. recording: !munch.Munch
  124. timing: !munch.Munch {t_baseline_1: 5.0, t_baseline_rand: 1.0, bci_loop_interval: 0.05,
  125. t_baseline_all: 1.0, recording_loop_interval_data: 0.02, t_response: 5.0, decoder_refresh_interval: 0.01,
  126. recording_loop_interval: 0.05, t_after_stimulus: 0.5}
  127. speller: !munch.Munch {audio_result_fb: true, audio: true, speller_matrix: true, pyttsx_rate: 100,
  128. type: feedback}
  129. classifier: !munch.Munch
  130. psth: !munch.Munch
  131. cut: [-40, 100]
  132. exclude_channels: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17,
  133. 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38,
  134. 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58,
  135. 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78,
  136. 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98,
  137. 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114,
  138. 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127]
  139. peaks: !munch.Munch {distance: 40, sig: pred, prefilter: false}
  140. model_training: !munch.Munch {save_model: false, model: scikit, solver: lsqr, cross_validation: true,
  141. n_splits: 5, test_size: 0.2, reg_fact: 0.3, fsel: false, triggers_plot: 3}
  142. max_active_ch_nr: []
  143. n_triggers: 2
  144. n_neg_train: 100000
  145. path_model2: /data/clinical/neural/fr/2019-06-26/model2_104948.pkl
  146. exclude_data_channels: []
  147. template: !!python/object/apply:numpy.core.multiarray._reconstruct
  148. args:
  149. - !!python/name:numpy.ndarray ''
  150. - !!python/tuple [0]
  151. - !!binary |
  152. Yg==
  153. state: !!python/tuple
  154. - 1
  155. - !!python/tuple [8]
  156. - !!python/object/apply:numpy.dtype
  157. args: [i8, 0, 1]
  158. state: !!python/tuple [3, <, null, null, null, -1, -1, 0]
  159. - false
  160. - !!binary |
  161. CgAAAAAAAAAOAAAAAAAAABIAAAAAAAAAFgAAAAAAAAAaAAAAAAAAAB4AAAAAAAAAIgAAAAAAAAAm
  162. AAAAAAAAAA==
  163. break_loop: true
  164. trigger_pos: start
  165. thr_window: 40
  166. path_model1: /data/clinical/neural/fr/2019-06-26/model1_104948.pkl
  167. include_channels: [20]
  168. deadtime: 40
  169. saved_model_conf_name: config/model_conf.yaml
  170. n_classes: 2
  171. online: false
  172. thr_prob: 0.8
  173. n_features: 1024
  174. session: !munch.Munch
  175. flags: !munch.Munch {bl_rand: true, decode: false, bl: true, stimulus: true}
  176. buffer: !munch.Munch
  177. length: 600
  178. shape: [600, 128]
  179. lfp: !munch.Munch
  180. fs: 1000
  181. sampling_ratio: 30
  182. filter_fc_lb: [10, 0]
  183. filter_fc_mb: [12, 40]
  184. filter_fc_hb: [60, 250]
  185. filter_order_lb: 2
  186. filter_order_mb: 6
  187. filter_order_hb: 10
  188. artifact_thr: 400
  189. array1: [32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49,
  190. 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63]
  191. array21: [0, 1]
  192. array22: []
  193. array1_exclude: []
  194. array2_exclude: []
  195. i_start: 0
  196. i_stop: -1
  197. psth_win: [-1000, 5000]
  198. exclude: false
  199. normalize: false
  200. zscore: false
  201. car: true
  202. sub_band: 1
  203. motor_mapping: [Zunge, Schliesse_Hand, Oeffne_Hand, Bewege_Augen, Bewege_Kopf]
  204. spectra: !munch.Munch {spgr_len: 500}
  205. plot: !munch.Munch
  206. ch_ids: [0]
  207. general: true
  208. filters: false
  209. array2: [0, 1]
  210. feedback: !munch.Munch {target_n_tones: 5, hold_iterations: 2, beta: 120, alpha: 360,
  211. feedback_tone: true, tone_length: 0.25, target_tone_length: 1.0}