config_dump_16_22_35.yaml 7.4 KB

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  1. !munch.Munch
  2. supplemental_config: [config/feedback.yaml]
  3. system: !munch.Munch {plot: 0}
  4. sim_data: !munch.Munch {rate_bl: 10}
  5. speller: !munch.Munch {audio_result_fb: true, audio: true, pyttsx_rate: 100, type: feedback}
  6. file_handling: !munch.Munch {data_path: /data/clinical/neural/fr/, results: /data/clinical/nf/results/,
  7. paradigm_config_file: paradigm.yaml, save_data: true, mode: ab, datafile_path: /data/clinical/neural/fr/2019-07-22,
  8. filename_data: /data/clinical/neural/fr/2019-07-22/data_16_22_35.bin, filename_baseline: /data/clinical/neural/fr/2019-07-22/bl_16_22_33.npy,
  9. filename_log_info: /data/clinical/neural/fr/2019-07-22/info_16_22_35.log, filename_log_debug: /data/clinical/neural/fr/2019-07-22/debug_16_22_33.log,
  10. filename_events: /data/clinical/neural/fr/2019-07-22/events_16_22_35.txt, filename_config: /data/clinical/neural/fr/2019-07-22/config_16_22_33.yaml,
  11. filename_paradigm: /data/clinical/neural/fr/2019-07-22/paradigm_16_22_33.yaml, filename_config_dump: /data/clinical/neural/fr/2019-07-22/config_dump_16_22_33.yaml,
  12. filename_git_patch: /data/clinical/neural/fr/2019-07-22/git_changes_16_22_33.patch,
  13. filename_history: /data/clinical/neural/fr/2019-07-22/history.bin, git_hash: e6a266c}
  14. daq: !munch.Munch
  15. n_channels_max: 128
  16. exclude_channels: []
  17. car_channels: []
  18. fs: 30000.0
  19. smpl_fct: 30
  20. trigger_len: 50
  21. daq_sleep: 0.1
  22. normalization: !munch.Munch
  23. len: 600.0
  24. do_update: false
  25. update_interval: 10.0
  26. range: [10, 90]
  27. clamp_firing_rates: true
  28. use_all_channels: false
  29. all_channels: !munch.Munch {bottom: 1.15625, top: 1.59375, invert: false}
  30. channels:
  31. - !munch.Munch {id: 20, bottom: 4.0, top: 6.0, invert: true}
  32. spike_rates: !munch.Munch {n_units: 1, bin_width: 0.05, loop_interval: 50, method: boxcar,
  33. decay_factor: 0.9, max_bins: 20, bl_offset: 30.0, correct_bl: false, correct_bl_model: false}
  34. n_channels: 128
  35. buffer: !munch.Munch
  36. length: 600
  37. shape: [600, 128]
  38. lfp: !munch.Munch
  39. fs: 1000
  40. sampling_ratio: 30
  41. filter_fc_lb: [10, 0]
  42. filter_fc_mb: [12, 40]
  43. filter_fc_hb: [60, 250]
  44. filter_order_lb: 2
  45. filter_order_mb: 6
  46. filter_order_hb: 10
  47. artifact_thr: 400
  48. array1: [32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49,
  49. 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63]
  50. array21: [0, 1]
  51. array22: []
  52. array1_exclude: []
  53. array2_exclude: []
  54. i_start: 0
  55. i_stop: -1
  56. psth_win: [-1000, 5000]
  57. exclude: false
  58. normalize: false
  59. zscore: false
  60. car: true
  61. sub_band: 1
  62. motor_mapping: [Zunge, Schliesse_Hand, Oeffne_Hand, Bewege_Augen, Bewege_Kopf]
  63. spectra: !munch.Munch {spgr_len: 500}
  64. plot: !munch.Munch
  65. ch_ids: [0]
  66. general: true
  67. filters: false
  68. array2: [0, 1]
  69. paradigms: !munch.Munch
  70. variablesToShowInGUI: !munch.Munch
  71. variableGroups: [timing, color]
  72. variableNames: [t_baseline, t_response, bci_loop_interval, selected_mode, max_length_vocabulary]
  73. t: 1
  74. feedback: !munch.Munch
  75. sounds: !munch.Munch {success: /kiap/data/speller/feedback/kerching.wav, fail: /kiap/data/speller/feedback/blarg.wav}
  76. play_end_feedback: !munch.Munch {success: true, fail: true}
  77. selected_mode: 1
  78. number_of_stim: 10
  79. states: !munch.Munch
  80. up: [1.0, 0.7, 1.0]
  81. down: [0.0, 0.0, 0.35]
  82. mode: [Training, Validation]
  83. symmetrical: true
  84. audio_path: /kiap/data/speller/feedback/
  85. question: !munch.Munch
  86. mode: [Training, Validation, Free]
  87. selected_mode: 2
  88. audio_path: /kiap/data/speller/Audio/question
  89. number_of_stim: 9
  90. symmetrical: true
  91. color: !munch.Munch
  92. mode: [Validation, Free]
  93. selected_mode: 1
  94. states:
  95. - - gelb
  96. - [E, A, D, C, B, F, ^]
  97. - - gruen
  98. - [N, S, R, O, M, P, Q, ^]
  99. - - rot
  100. - [I, H, L, G, K, J, ^]
  101. - - blau
  102. - [T, U, W, Z, V, Y, X, ^]
  103. - - weiss
  104. - [<, ' ', '?', word, end, ^]
  105. max_length_vocabulary: 5
  106. confirmation_methods: [single, double_yes, best_of_three]
  107. selected_confirmation_method: 0
  108. corpora_path: /kiap/data/speller/Corpora
  109. audio_path: /kiap/data/speller/Audio
  110. general_corpus: cfd_tiger.p
  111. general_user_corpus: general_user_cfd.txt
  112. speller_user_corpus: speller_user.txt
  113. word_prediction: false
  114. validation_string: FELIX.
  115. init_string: ''
  116. n_repeat_unclassified: 1
  117. exploration: !munch.Munch
  118. mode: [Screening]
  119. selected_mode: 0
  120. states: [SchliesseHand, BeugeRechtenMittelfinger, BeugeRechtenZeigefinger, BeugeRechtenDaumen,
  121. OeffneHand, StreckeRechtenMittelfinger, StreckeRechtenZeigefinger, StreckeRechtenDaumen]
  122. selected_states: [0, 1, 2, 3, 4, 5, 6, 7]
  123. audio_path: /kiap/data/speller/Audio/exploration
  124. number_of_stim: 5
  125. training_color: !munch.Munch
  126. mode: [Training]
  127. selected_mode: 0
  128. states:
  129. - - gelb
  130. - [E, A, D, C, B, F, ^]
  131. - - gruen
  132. - [N, S, R, O, M, P, Q, ^]
  133. - - rot
  134. - [I, H, L, G, K, J, ^]
  135. - - blau
  136. - [T, U, W, Z, V, Y, X, ^]
  137. - - weiss
  138. - [<, ' ', '?', word, end, ^]
  139. training_string: Gustav
  140. confirmation_yes: 1
  141. confirmation_no: 1
  142. cerebus: !munch.Munch {instance: 0, buffer_reset: true, buffer_size_cont: 30001, buffer_size_comments: 500}
  143. recording: !munch.Munch
  144. timing: !munch.Munch {t_baseline_all: 1.0, t_baseline_1: 5.0, recording_loop_interval: 0.05,
  145. recording_loop_interval_data: 0.02, t_after_stimulus: 0.0, t_baseline_rand: 1.0,
  146. t_response: 5.0, decoder_refresh_interval: 0.01, bci_loop_interval: 0.05}
  147. session: !munch.Munch
  148. flags: !munch.Munch {decode: false, stimulus: true, bl: true, bl_rand: true}
  149. general: !munch.Munch {debug: 1, clear_trial_history: false}
  150. plot: !munch.Munch
  151. channels: [20]
  152. fps: 10.0
  153. pca: false
  154. filter_min_rate: 2
  155. feedback: !munch.Munch {tone_length: 0.25, beta: 120, target_n_tones: 5, alpha: 360,
  156. target_tone_length: 1.0, feedback_tone: true, hold_iterations: 3}
  157. classifier: !munch.Munch
  158. path_model1: /data/clinical/neural/fr/2019-06-26/model1_104948.pkl
  159. peaks: !munch.Munch {distance: 40, sig: pred, prefilter: false}
  160. thr_prob: 0.8
  161. thr_window: 40
  162. online: false
  163. exclude_data_channels: []
  164. deadtime: 40
  165. n_classes: 2
  166. break_loop: true
  167. model_training: !munch.Munch {save_model: false, model: scikit, solver: lsqr, cross_validation: true,
  168. n_splits: 5, test_size: 0.2, reg_fact: 0.3, fsel: false, triggers_plot: 3}
  169. template: !!python/object/apply:numpy.core.multiarray._reconstruct
  170. args:
  171. - !!python/name:numpy.ndarray ''
  172. - !!python/tuple [0]
  173. - !!binary |
  174. Yg==
  175. state: !!python/tuple
  176. - 1
  177. - !!python/tuple [8]
  178. - !!python/object/apply:numpy.dtype
  179. args: [i8, 0, 1]
  180. state: !!python/tuple [3, <, null, null, null, -1, -1, 0]
  181. - false
  182. - !!binary |
  183. CgAAAAAAAAAOAAAAAAAAABIAAAAAAAAAFgAAAAAAAAAaAAAAAAAAAB4AAAAAAAAAIgAAAAAAAAAm
  184. AAAAAAAAAA==
  185. trigger_pos: start
  186. path_model2: /data/clinical/neural/fr/2019-06-26/model2_104948.pkl
  187. include_channels: [20]
  188. n_triggers: 2
  189. n_neg_train: 100000
  190. psth: !munch.Munch
  191. cut: [-40, 100]
  192. exclude_channels: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17,
  193. 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38,
  194. 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58,
  195. 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78,
  196. 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98,
  197. 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114,
  198. 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127]
  199. max_active_ch_nr: []