config_dump_13_53_07.yaml 7.9 KB

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  1. !munch.Munch
  2. buffer: !munch.Munch
  3. length: 600
  4. shape: [600, 128]
  5. cerebus: !munch.Munch {instance: 0, buffer_reset: true, buffer_size_cont: 30001, buffer_size_comments: 500}
  6. classifier: !munch.Munch
  7. trigger_pos: start
  8. psth: !munch.Munch
  9. cut: [-40, 100]
  10. template: !!python/object/apply:numpy.core.multiarray._reconstruct
  11. args:
  12. - !!python/name:numpy.ndarray ''
  13. - !!python/tuple [0]
  14. - !!binary |
  15. Yg==
  16. state: !!python/tuple
  17. - 1
  18. - !!python/tuple [8]
  19. - !!python/object/apply:numpy.dtype
  20. args: [i8, 0, 1]
  21. state: !!python/tuple [3, <, null, null, null, -1, -1, 0]
  22. - false
  23. - !!binary |
  24. CgAAAAAAAAAOAAAAAAAAABIAAAAAAAAAFgAAAAAAAAAaAAAAAAAAAB4AAAAAAAAAIgAAAAAAAAAm
  25. AAAAAAAAAA==
  26. n_classes: 2
  27. thr_window: 40
  28. exclude_data_channels: []
  29. path_model1: /data/clinical/neural/fr/2019-06-26/model1_104948.pkl
  30. n_triggers: 2
  31. break_loop: true
  32. max_active_ch_nr: []
  33. n_neg_train: 100000
  34. path_model2: /data/clinical/neural/fr/2019-06-26/model2_104948.pkl
  35. exclude_channels: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17,
  36. 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38,
  37. 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58,
  38. 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78,
  39. 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98,
  40. 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114,
  41. 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127]
  42. thr_prob: 0.8
  43. include_channels: [20]
  44. online: false
  45. deadtime: 40
  46. saved_model_conf_name: config/model_conf.yaml
  47. peaks: !munch.Munch {distance: 40, sig: pred, prefilter: false}
  48. model_training: !munch.Munch {save_model: false, model: scikit, solver: lsqr, cross_validation: true,
  49. n_splits: 5, test_size: 0.2, reg_fact: 0.3, fsel: false, triggers_plot: 3}
  50. n_features: 1024
  51. general: !munch.Munch {debug: 1, clear_trial_history: false}
  52. supplemental_config: [config/model_conf.yaml, config/channels.yaml, config/feedback_wo_reward.yaml]
  53. lfp: !munch.Munch
  54. fs: 1000
  55. sampling_ratio: 30
  56. filter_fc_lb: [10, 0]
  57. filter_fc_mb: [12, 40]
  58. filter_fc_hb: [60, 250]
  59. filter_order_lb: 2
  60. filter_order_mb: 6
  61. filter_order_hb: 10
  62. artifact_thr: 400
  63. array1: [32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49,
  64. 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63]
  65. array21: [0, 1]
  66. array22: []
  67. array1_exclude: []
  68. array2_exclude: []
  69. i_start: 0
  70. i_stop: -1
  71. psth_win: [-1000, 5000]
  72. exclude: false
  73. normalize: false
  74. zscore: false
  75. car: true
  76. sub_band: 1
  77. motor_mapping: [Zunge, Schliesse_Hand, Oeffne_Hand, Bewege_Augen, Bewege_Kopf]
  78. spectra: !munch.Munch {spgr_len: 500}
  79. plot: !munch.Munch
  80. ch_ids: [0]
  81. general: true
  82. filters: false
  83. array2: [0, 1]
  84. recording: !munch.Munch
  85. timing: !munch.Munch {t_baseline_rand: 1.0, t_baseline_all: 1.0, t_response: 5.0,
  86. recording_loop_interval_data: 0.02, decoder_refresh_interval: 0.01, t_baseline_1: 5.0,
  87. recording_loop_interval: 0.05, t_after_stimulus: 0.0, bci_loop_interval: 0.05}
  88. plot: !munch.Munch
  89. pca: false
  90. channels: [20, 24, 96]
  91. filter_min_rate: 2
  92. fps: 10.0
  93. paradigms: !munch.Munch
  94. feedback: !munch.Munch
  95. number_of_stim: 10
  96. audio_path: /kiap/data/speller/feedback/
  97. play_end_feedback: !munch.Munch {success: false, fail: false}
  98. selected_mode: 0
  99. mode: [Training, Validation]
  100. sounds: !munch.Munch {success: /kiap/data/speller/feedback/kerching.wav, fail: /kiap/data/speller/feedback/blarg.wav}
  101. states: !munch.Munch
  102. down: [0.0, 0.0, 0.3]
  103. up: [1.0, 0.7, 1.0]
  104. symmetrical: true
  105. exploration: !munch.Munch
  106. mode: [Screening]
  107. selected_mode: 0
  108. states: [SchliesseHand, BeugeRechtenMittelfinger, BeugeRechtenZeigefinger, BeugeRechtenDaumen,
  109. OeffneHand, StreckeRechtenMittelfinger, StreckeRechtenZeigefinger, StreckeRechtenDaumen]
  110. selected_states: [0, 1, 2, 3, 4, 5, 6, 7]
  111. audio_path: /kiap/data/speller/Audio/exploration
  112. number_of_stim: 5
  113. variablesToShowInGUI: !munch.Munch
  114. variableGroups: [timing, color]
  115. variableNames: [t_baseline, t_response, bci_loop_interval, selected_mode, max_length_vocabulary]
  116. t: 1
  117. training_color: !munch.Munch
  118. mode: [Training]
  119. selected_mode: 0
  120. states:
  121. - - gelb
  122. - [E, A, D, C, B, F, ^]
  123. - - gruen
  124. - [N, S, R, O, M, P, Q, ^]
  125. - - rot
  126. - [I, H, L, G, K, J, ^]
  127. - - blau
  128. - [T, U, W, Z, V, Y, X, ^]
  129. - - weiss
  130. - [<, ' ', '?', word, end, ^]
  131. training_string: Gustav
  132. confirmation_yes: 1
  133. confirmation_no: 1
  134. color: !munch.Munch
  135. mode: [Validation, Free]
  136. selected_mode: 1
  137. states:
  138. - - gelb
  139. - [E, A, D, C, B, F, ^]
  140. - - gruen
  141. - [N, S, R, O, M, P, Q, ^]
  142. - - rot
  143. - [I, H, L, G, K, J, ^]
  144. - - blau
  145. - [T, U, W, Z, V, Y, X, ^]
  146. - - weiss
  147. - [<, ' ', end, ^]
  148. max_length_vocabulary: 5
  149. confirmation_methods: [single, double_yes, best_of_three]
  150. selected_confirmation_method: 1
  151. corpora_path: /kiap/data/speller/Corpora
  152. audio_path: /kiap/data/speller/Audio
  153. general_corpus: cfd_tiger.p
  154. general_user_corpus: general_user_cfd.txt
  155. speller_user_corpus: speller_user.txt
  156. word_prediction: false
  157. validation_string: ''
  158. init_string: ''
  159. n_repeat_unclassified: 1
  160. question: !munch.Munch
  161. mode: [Training, Validation, Free]
  162. selected_mode: 2
  163. audio_path: /kiap/data/speller/Audio/question
  164. number_of_stim: 10
  165. symmetrical: true
  166. system: !munch.Munch {plot: 0}
  167. feedback: !munch.Munch {feedback_tone: true, alpha: 360, tone_length: 0.25, beta: 120,
  168. hold_iterations: 2, target_n_tones: 5, target_tone_length: 1.0}
  169. session: !munch.Munch
  170. flags: !munch.Munch {bl: true, stimulus: true, decode: false, bl_rand: false}
  171. sim_data: !munch.Munch {rate_bl: 10}
  172. file_handling: !munch.Munch {data_path: /data/clinical/neural/fr/, results: /data/clinical/nf/results/,
  173. paradigm_config_file: paradigm.yaml, save_data: true, mode: ab, datafile_path: /data/clinical/neural/fr/2019-10-30,
  174. filename_data: /data/clinical/neural/fr/2019-10-30/data_13_53_07.bin, filename_baseline: /data/clinical/neural/fr/2019-10-30/bl_13_53_07.npy,
  175. filename_log_info: /data/clinical/neural/fr/2019-10-30/info_13_53_07.log, filename_log_debug: /data/clinical/neural/fr/2019-10-30/debug_13_53_07.log,
  176. filename_events: /data/clinical/neural/fr/2019-10-30/events_13_53_07.txt, filename_config: /data/clinical/neural/fr/2019-10-30/config_13_53_07.yaml,
  177. filename_paradigm: /data/clinical/neural/fr/2019-10-30/paradigm_13_53_07.yaml, filename_config_dump: /data/clinical/neural/fr/2019-10-30/config_dump_13_53_07.yaml,
  178. filename_git_patch: /data/clinical/neural/fr/2019-10-30/git_changes_13_53_07.patch,
  179. filename_history: /data/clinical/neural/fr/2019-10-30/history.bin, git_hash: 52c204f}
  180. daq: !munch.Munch
  181. normalization: !munch.Munch
  182. update_interval: 10.0
  183. use_all_channels: false
  184. do_update: false
  185. channels:
  186. - !munch.Munch {id: 20, bottom: 5.0, top: 11.0, invert: true}
  187. len: 600.0
  188. clamp_firing_rates: true
  189. all_channels: !munch.Munch {bottom: 1.15625, top: 1.59375, invert: false}
  190. range: [10, 90]
  191. n_channels_max: 128
  192. trigger_len: 50
  193. spike_band_power: !munch.Munch
  194. average_n_bins: 10
  195. loop_interval: 50
  196. integrated_samples: 1500
  197. filter: !munch.Munch
  198. b: [0.956543225556877, -1.91308645111375, 0.956543225556877]
  199. a: [1, -1.91119706742607, 0.914975834801434]
  200. sample_group: 6
  201. exclude_channels: []
  202. smpl_fct: 30
  203. daq_sleep: 0.1
  204. fs: 30000.0
  205. car_channels: []
  206. spike_rates: !munch.Munch {n_units: 1, bin_width: 0.05, loop_interval: 50, method: boxcar,
  207. decay_factor: 0.9, max_bins: 20, bl_offset: 30.0, correct_bl: false, correct_bl_model: false}
  208. data_source: spike_rates
  209. n_channels: 128
  210. speller: !munch.Munch {type: feedback, speller_matrix: true, audio: true, pyttsx_rate: 100,
  211. audio_result_fb: true}