config_dump_15_25_30.yaml 7.9 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/2020-01-15,
  4. filename_data: /data/clinical/neural/fr/2020-01-15/data_15_25_30.bin, filename_baseline: /data/clinical/neural/fr/2020-01-15/bl_15_25_30.npy,
  5. filename_log_info: /data/clinical/neural/fr/2020-01-15/info_15_25_30.log, filename_log_debug: /data/clinical/neural/fr/2020-01-15/debug_15_25_30.log,
  6. filename_events: /data/clinical/neural/fr/2020-01-15/events_15_25_30.txt, filename_config: /data/clinical/neural/fr/2020-01-15/config_15_25_30.yaml,
  7. filename_paradigm: /data/clinical/neural/fr/2020-01-15/paradigm_15_25_30.yaml, filename_config_dump: /data/clinical/neural/fr/2020-01-15/config_dump_15_25_30.yaml,
  8. filename_git_patch: /data/clinical/neural/fr/2020-01-15/git_changes_15_25_30.patch,
  9. filename_history: /data/clinical/neural/fr/2020-01-15/history.bin, git_hash: 52c204f}
  10. buffer: !munch.Munch
  11. length: 600
  12. shape: [600, 128]
  13. paradigms: !munch.Munch
  14. variablesToShowInGUI: !munch.Munch
  15. variableGroups: [timing, color]
  16. variableNames: [t_baseline, t_response, bci_loop_interval, selected_mode, max_length_vocabulary]
  17. t: 1
  18. question: !munch.Munch
  19. mode: [Training, Validation, Free]
  20. selected_mode: 2
  21. audio_path: /kiap/data/speller/Audio/question
  22. number_of_stim: 10
  23. symmetrical: true
  24. exploration: !munch.Munch
  25. mode: [Screening]
  26. selected_mode: 0
  27. states: [SchliesseHand, BeugeRechtenMittelfinger, BeugeRechtenZeigefinger, BeugeRechtenDaumen,
  28. OeffneHand, StreckeRechtenMittelfinger, StreckeRechtenZeigefinger, StreckeRechtenDaumen]
  29. selected_states: [0, 1, 2, 3, 4, 5, 6, 7]
  30. audio_path: /kiap/data/speller/Audio/exploration
  31. number_of_stim: 5
  32. training_color: !munch.Munch
  33. mode: [Training]
  34. selected_mode: 0
  35. states:
  36. - - gelb
  37. - [E, A, D, C, B, F, ^]
  38. - - gruen
  39. - [N, S, R, O, M, P, Q, ^]
  40. - - rot
  41. - [I, H, L, G, K, J, ^]
  42. - - blau
  43. - [T, U, W, Z, V, Y, X, ^]
  44. - - weiss
  45. - [<, ' ', '?', word, end, ^]
  46. training_string: Gustav
  47. confirmation_yes: 1
  48. confirmation_no: 1
  49. color: !munch.Munch
  50. mode: [Validation, Free]
  51. selected_mode: 1
  52. states:
  53. - - gelb
  54. - [E, A, D, C, B, F, ^]
  55. - - gruen
  56. - [N, S, R, O, M, P, Q, ^]
  57. - - rot
  58. - [I, H, L, G, K, J, ^]
  59. - - blau
  60. - [T, U, W, Z, V, Y, X, ^]
  61. - - weiss
  62. - [<, ' ', end, ^]
  63. max_length_vocabulary: 5
  64. confirmation_methods: [single, double_yes, best_of_three]
  65. selected_confirmation_method: 0
  66. corpora_path: /kiap/data/speller/Corpora
  67. audio_path: /kiap/data/speller/Audio
  68. general_corpus: cfd_tiger.p
  69. general_user_corpus: general_user_cfd.txt
  70. speller_user_corpus: speller_user.txt
  71. word_prediction: false
  72. validation_string: ''
  73. init_string: ''
  74. n_repeat_unclassified: 1
  75. feedback: !munch.Munch
  76. sounds: !munch.Munch {success: /kiap/data/speller/feedback/kerching.wav, fail: /kiap/data/speller/feedback/blarg.wav}
  77. mode: [Training, Validation]
  78. number_of_stim: 10
  79. symmetrical: true
  80. audio_path: /kiap/data/speller/feedback/
  81. play_end_feedback: !munch.Munch {success: false, fail: false}
  82. states: !munch.Munch
  83. down: [0.0, 0.0, 0.3]
  84. up: [1.0, 0.7, 1.0]
  85. selected_mode: 0
  86. feedback: !munch.Munch {hold_iterations: 2, beta: 120, tone_length: 0.25, target_tone_length: 1.0,
  87. target_n_tones: 5, feedback_tone: true, alpha: 360}
  88. plot: !munch.Munch
  89. fps: 10.0
  90. channels: [96, 98]
  91. pca: false
  92. filter_min_rate: 2
  93. general: !munch.Munch {debug: 1, clear_trial_history: false}
  94. system: !munch.Munch {plot: 0}
  95. classifier: !munch.Munch
  96. peaks: !munch.Munch {distance: 40, sig: pred, prefilter: false}
  97. exclude_channels: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17,
  98. 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38,
  99. 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58,
  100. 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78,
  101. 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98,
  102. 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114,
  103. 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127]
  104. path_model2: /data/clinical/neural/fr/2019-06-26/model2_104948.pkl
  105. trigger_pos: start
  106. include_channels: [20]
  107. online: false
  108. n_classes: 2
  109. n_triggers: 2
  110. model_training: !munch.Munch {save_model: false, model: scikit, solver: lsqr, cross_validation: true,
  111. n_splits: 5, test_size: 0.2, reg_fact: 0.3, fsel: false, triggers_plot: 3}
  112. thr_prob: 0.8
  113. template: !!python/object/apply:numpy.core.multiarray._reconstruct
  114. args:
  115. - !!python/name:numpy.ndarray ''
  116. - !!python/tuple [0]
  117. - !!binary |
  118. Yg==
  119. state: !!python/tuple
  120. - 1
  121. - !!python/tuple [8]
  122. - !!python/object/apply:numpy.dtype
  123. args: [i8, 0, 1]
  124. state: !!python/tuple [3, <, null, null, null, -1, -1, 0]
  125. - false
  126. - !!binary |
  127. CgAAAAAAAAAOAAAAAAAAABIAAAAAAAAAFgAAAAAAAAAaAAAAAAAAAB4AAAAAAAAAIgAAAAAAAAAm
  128. AAAAAAAAAA==
  129. max_active_ch_nr: []
  130. saved_model_conf_name: config/model_conf.yaml
  131. psth: !munch.Munch
  132. cut: [-40, 100]
  133. n_neg_train: 100000
  134. exclude_data_channels: []
  135. deadtime: 40
  136. break_loop: true
  137. thr_window: 40
  138. path_model1: /data/clinical/neural/fr/2019-06-26/model1_104948.pkl
  139. n_features: 1024
  140. session: !munch.Munch
  141. flags: !munch.Munch {stimulus: true, decode: false, bl_rand: false, bl: true}
  142. speller: !munch.Munch {audio_result_fb: true, pyttsx_rate: 100, speller_matrix: true,
  143. type: feedback, audio: true}
  144. supplemental_config: [config/model_conf.yaml, config/channels.yaml, config/feedback_wo_reward.yaml]
  145. cerebus: !munch.Munch {instance: 0, buffer_reset: true, buffer_size_cont: 30001, buffer_size_comments: 500}
  146. lfp: !munch.Munch
  147. fs: 1000
  148. sampling_ratio: 30
  149. filter_fc_lb: [10, 0]
  150. filter_fc_mb: [12, 40]
  151. filter_fc_hb: [60, 250]
  152. filter_order_lb: 2
  153. filter_order_mb: 6
  154. filter_order_hb: 10
  155. artifact_thr: 400
  156. array1: [32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49,
  157. 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63]
  158. array21: [0, 1]
  159. array22: []
  160. array1_exclude: []
  161. array2_exclude: []
  162. i_start: 0
  163. i_stop: -1
  164. psth_win: [-1000, 5000]
  165. exclude: false
  166. normalize: false
  167. zscore: false
  168. car: true
  169. sub_band: 1
  170. motor_mapping: [Zunge, Schliesse_Hand, Oeffne_Hand, Bewege_Augen, Bewege_Kopf]
  171. spectra: !munch.Munch {spgr_len: 500}
  172. plot: !munch.Munch
  173. ch_ids: [0]
  174. general: true
  175. filters: false
  176. array2: [0, 1]
  177. recording: !munch.Munch
  178. timing: !munch.Munch {recording_loop_interval_data: 0.02, t_response: 5.0, t_baseline_1: 5.0,
  179. t_baseline_all: 1.0, bci_loop_interval: 0.05, decoder_refresh_interval: 0.01,
  180. t_baseline_rand: 1.0, t_after_stimulus: 0.0, recording_loop_interval: 0.05}
  181. daq: !munch.Munch
  182. exclude_channels: []
  183. trigger_len: 50
  184. spike_band_power: !munch.Munch
  185. average_n_bins: 10
  186. loop_interval: 50
  187. filter: !munch.Munch
  188. b: [0.956543225556877, -1.91308645111375, 0.956543225556877]
  189. a: [1, -1.91119706742607, 0.914975834801434]
  190. integrated_samples: 1500
  191. sample_group: 6
  192. n_channels_max: 128
  193. daq_sleep: 0.1
  194. data_source: spike_rates
  195. normalization: !munch.Munch
  196. do_update: false
  197. update_interval: 10.0
  198. len: 600.0
  199. use_all_channels: false
  200. all_channels: !munch.Munch {bottom: 1.15625, top: 1.59375, invert: false}
  201. channels:
  202. - !munch.Munch {id: 23, bottom: 2.5, top: 5.0, invert: true}
  203. clamp_firing_rates: true
  204. range: [10, 90]
  205. spike_rates: !munch.Munch {n_units: 1, bin_width: 0.05, loop_interval: 50, method: boxcar,
  206. decay_factor: 0.9, max_bins: 20, bl_offset: 30.0, correct_bl: false, correct_bl_model: false}
  207. car_channels: []
  208. fs: 30000.0
  209. smpl_fct: 30
  210. n_channels: 128
  211. sim_data: !munch.Munch {rate_bl: 10}