config_dump_13_57_02.yaml 7.8 KB

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  1. !munch.Munch
  2. daq: !munch.Munch
  3. trigger_len: 50
  4. smpl_fct: 30
  5. normalization: !munch.Munch
  6. all_channels: !munch.Munch {bottom: 1.15625, top: 1.59375, invert: false}
  7. use_all_channels: false
  8. len: 600.0
  9. update_interval: 10.0
  10. range: [10, 90]
  11. channels:
  12. - !munch.Munch {id: 20, bottom: 3.0, top: 9.0, invert: true}
  13. do_update: false
  14. clamp_firing_rates: true
  15. data_source: spike_rates
  16. fs: 30000.0
  17. spike_band_power: !munch.Munch
  18. sample_group: 6
  19. filter: !munch.Munch
  20. b: [0.956543225556877, -1.91308645111375, 0.956543225556877]
  21. a: [1, -1.91119706742607, 0.914975834801434]
  22. integrated_samples: 1500
  23. loop_interval: 50
  24. average_n_bins: 10
  25. spike_rates: !munch.Munch {n_units: 1, bin_width: 0.05, loop_interval: 50, method: boxcar,
  26. decay_factor: 0.9, max_bins: 20, bl_offset: 30.0, correct_bl: false, correct_bl_model: false}
  27. car_channels: []
  28. exclude_channels: []
  29. daq_sleep: 0.1
  30. n_channels_max: 128
  31. n_channels: 128
  32. supplemental_config: [config/model_conf.yaml, config/channels.yaml, config/feedback.yaml]
  33. recording: !munch.Munch
  34. timing: !munch.Munch {t_after_stimulus: 0.5, t_baseline_rand: 1.0, t_baseline_1: 5.0,
  35. recording_loop_interval: 0.05, recording_loop_interval_data: 0.02, t_response: 5.0,
  36. bci_loop_interval: 0.05, decoder_refresh_interval: 0.01, t_baseline_all: 1.0}
  37. speller: !munch.Munch {pyttsx_rate: 100, speller_matrix: true, audio: true, audio_result_fb: true,
  38. type: feedback}
  39. system: !munch.Munch {plot: 0}
  40. general: !munch.Munch {debug: 1, clear_trial_history: false}
  41. buffer: !munch.Munch
  42. length: 600
  43. shape: [600, 128]
  44. session: !munch.Munch
  45. flags: !munch.Munch {bl_rand: true, stimulus: true, bl: true, decode: false}
  46. file_handling: !munch.Munch {data_path: /data/clinical/neural/fr/, results: /data/clinical/nf/results/,
  47. paradigm_config_file: paradigm.yaml, save_data: true, mode: ab, datafile_path: /data/clinical/neural/fr/2019-10-01,
  48. filename_data: /data/clinical/neural/fr/2019-10-01/data_13_57_02.bin, filename_baseline: /data/clinical/neural/fr/2019-10-01/bl_13_57_02.npy,
  49. filename_log_info: /data/clinical/neural/fr/2019-10-01/info_13_57_02.log, filename_log_debug: /data/clinical/neural/fr/2019-10-01/debug_13_57_02.log,
  50. filename_events: /data/clinical/neural/fr/2019-10-01/events_13_57_02.txt, filename_config: /data/clinical/neural/fr/2019-10-01/config_13_57_02.yaml,
  51. filename_paradigm: /data/clinical/neural/fr/2019-10-01/paradigm_13_57_02.yaml, filename_config_dump: /data/clinical/neural/fr/2019-10-01/config_dump_13_57_02.yaml,
  52. filename_git_patch: /data/clinical/neural/fr/2019-10-01/git_changes_13_57_02.patch,
  53. filename_history: /data/clinical/neural/fr/2019-10-01/history.bin, git_hash: 52c204f}
  54. feedback: !munch.Munch {alpha: 360, hold_iterations: 2, feedback_tone: true, target_tone_length: 1.0,
  55. target_n_tones: 5, beta: 120, tone_length: 0.25}
  56. lfp: !munch.Munch
  57. fs: 1000
  58. sampling_ratio: 30
  59. filter_fc_lb: [10, 0]
  60. filter_fc_mb: [12, 40]
  61. filter_fc_hb: [60, 250]
  62. filter_order_lb: 2
  63. filter_order_mb: 6
  64. filter_order_hb: 10
  65. artifact_thr: 400
  66. array1: [32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49,
  67. 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63]
  68. array21: [0, 1]
  69. array22: []
  70. array1_exclude: []
  71. array2_exclude: []
  72. i_start: 0
  73. i_stop: -1
  74. psth_win: [-1000, 5000]
  75. exclude: false
  76. normalize: false
  77. zscore: false
  78. car: true
  79. sub_band: 1
  80. motor_mapping: [Zunge, Schliesse_Hand, Oeffne_Hand, Bewege_Augen, Bewege_Kopf]
  81. spectra: !munch.Munch {spgr_len: 500}
  82. plot: !munch.Munch
  83. ch_ids: [0]
  84. general: true
  85. filters: false
  86. array2: [0, 1]
  87. classifier: !munch.Munch
  88. thr_prob: 0.8
  89. saved_model_conf_name: config/model_conf.yaml
  90. exclude_data_channels: []
  91. max_active_ch_nr: []
  92. path_model2: /data/clinical/neural/fr/2019-06-26/model2_104948.pkl
  93. online: false
  94. n_classes: 2
  95. exclude_channels: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17,
  96. 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38,
  97. 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58,
  98. 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78,
  99. 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98,
  100. 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114,
  101. 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127]
  102. template: !!python/object/apply:numpy.core.multiarray._reconstruct
  103. args:
  104. - !!python/name:numpy.ndarray ''
  105. - !!python/tuple [0]
  106. - !!binary |
  107. Yg==
  108. state: !!python/tuple
  109. - 1
  110. - !!python/tuple [8]
  111. - !!python/object/apply:numpy.dtype
  112. args: [i8, 0, 1]
  113. state: !!python/tuple [3, <, null, null, null, -1, -1, 0]
  114. - false
  115. - !!binary |
  116. CgAAAAAAAAAOAAAAAAAAABIAAAAAAAAAFgAAAAAAAAAaAAAAAAAAAB4AAAAAAAAAIgAAAAAAAAAm
  117. AAAAAAAAAA==
  118. include_channels: [20]
  119. thr_window: 40
  120. peaks: !munch.Munch {distance: 40, sig: pred, prefilter: false}
  121. trigger_pos: start
  122. break_loop: true
  123. path_model1: /data/clinical/neural/fr/2019-06-26/model1_104948.pkl
  124. deadtime: 40
  125. n_triggers: 2
  126. psth: !munch.Munch
  127. cut: [-40, 100]
  128. n_neg_train: 100000
  129. model_training: !munch.Munch {save_model: false, model: scikit, solver: lsqr, cross_validation: true,
  130. n_splits: 5, test_size: 0.2, reg_fact: 0.3, fsel: false, triggers_plot: 3}
  131. n_features: 1024
  132. cerebus: !munch.Munch {instance: 0, buffer_reset: true, buffer_size_cont: 30001, buffer_size_comments: 500}
  133. plot: !munch.Munch
  134. fps: 10.0
  135. filter_min_rate: 2
  136. pca: false
  137. channels: [20, 24, 96]
  138. sim_data: !munch.Munch {rate_bl: 10}
  139. paradigms: !munch.Munch
  140. variablesToShowInGUI: !munch.Munch
  141. variableGroups: [timing, color]
  142. variableNames: [t_baseline, t_response, bci_loop_interval, selected_mode, max_length_vocabulary]
  143. t: 1
  144. color: !munch.Munch
  145. mode: [Validation, Free]
  146. selected_mode: 1
  147. states:
  148. - - gelb
  149. - [E, A, D, C, B, F, ^]
  150. - - gruen
  151. - [N, S, R, O, M, P, Q, ^]
  152. - - rot
  153. - [I, H, L, G, K, J, ^]
  154. - - blau
  155. - [T, U, W, Z, V, Y, X, ^]
  156. - - weiss
  157. - [<, ' ', end, ^]
  158. max_length_vocabulary: 5
  159. confirmation_methods: [single, double_yes, best_of_three]
  160. selected_confirmation_method: 1
  161. corpora_path: /kiap/data/speller/Corpora
  162. audio_path: /kiap/data/speller/Audio
  163. general_corpus: cfd_tiger.p
  164. general_user_corpus: general_user_cfd.txt
  165. speller_user_corpus: speller_user.txt
  166. word_prediction: false
  167. validation_string: ''
  168. init_string: ''
  169. n_repeat_unclassified: 1
  170. exploration: !munch.Munch
  171. mode: [Screening]
  172. selected_mode: 0
  173. states: [SchliesseHand, BeugeRechtenMittelfinger, BeugeRechtenZeigefinger, BeugeRechtenDaumen,
  174. OeffneHand, StreckeRechtenMittelfinger, StreckeRechtenZeigefinger, StreckeRechtenDaumen]
  175. selected_states: [0, 1, 2, 3, 4, 5, 6, 7]
  176. audio_path: /kiap/data/speller/Audio/exploration
  177. number_of_stim: 5
  178. feedback: !munch.Munch
  179. states: !munch.Munch
  180. up: [1.0, 0.7, 1.0]
  181. down: [0.0, 0.0, 0.3]
  182. sounds: !munch.Munch {success: /kiap/data/speller/feedback/kerching.wav, fail: /kiap/data/speller/feedback/blarg.wav}
  183. symmetrical: true
  184. audio_path: /kiap/data/speller/feedback/
  185. mode: [Training, Validation]
  186. selected_mode: 0
  187. play_end_feedback: !munch.Munch {fail: true, success: true}
  188. number_of_stim: 10
  189. training_color: !munch.Munch
  190. mode: [Training]
  191. selected_mode: 0
  192. states:
  193. - - gelb
  194. - [E, A, D, C, B, F, ^]
  195. - - gruen
  196. - [N, S, R, O, M, P, Q, ^]
  197. - - rot
  198. - [I, H, L, G, K, J, ^]
  199. - - blau
  200. - [T, U, W, Z, V, Y, X, ^]
  201. - - weiss
  202. - [<, ' ', '?', word, end, ^]
  203. training_string: Gustav
  204. confirmation_yes: 1
  205. confirmation_no: 1
  206. question: !munch.Munch
  207. mode: [Training, Validation, Free]
  208. selected_mode: 2
  209. audio_path: /kiap/data/speller/Audio/question
  210. number_of_stim: 10
  211. symmetrical: true