config_dump_16_43_16.yaml 7.8 KB

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  1. !munch.Munch
  2. buffer: !munch.Munch
  3. length: 600
  4. shape: [600, 128]
  5. speller: !munch.Munch {type: color, pyttsx_rate: 100, audio_result_fb: true, audio: true,
  6. speller_matrix: true}
  7. lfp: !munch.Munch
  8. fs: 1000
  9. sampling_ratio: 30
  10. filter_fc_lb: [10, 0]
  11. filter_fc_mb: [12, 40]
  12. filter_fc_hb: [60, 250]
  13. filter_order_lb: 2
  14. filter_order_mb: 6
  15. filter_order_hb: 10
  16. artifact_thr: 400
  17. array1: [32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49,
  18. 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63]
  19. array21: [0, 1]
  20. array22: []
  21. array1_exclude: []
  22. array2_exclude: []
  23. i_start: 0
  24. i_stop: -1
  25. psth_win: [-1000, 5000]
  26. exclude: false
  27. normalize: false
  28. zscore: false
  29. car: true
  30. sub_band: 1
  31. motor_mapping: [Zunge, Schliesse_Hand, Oeffne_Hand, Bewege_Augen, Bewege_Kopf]
  32. spectra: !munch.Munch {spgr_len: 500}
  33. plot: !munch.Munch
  34. ch_ids: [0]
  35. general: true
  36. filters: false
  37. array2: [0, 1]
  38. general: !munch.Munch {debug: 1, clear_trial_history: false}
  39. supplemental_config: [config/model_conf.yaml, config/channels.yaml, config/colorspeller.yaml]
  40. cerebus: !munch.Munch {instance: 0, buffer_reset: true, buffer_size_cont: 30001, buffer_size_comments: 500}
  41. system: !munch.Munch {plot: 0}
  42. paradigms: !munch.Munch
  43. color: !munch.Munch
  44. max_length_vocabulary: 5
  45. audio_path: /kiap/data/speller/Audio
  46. validation_string: ''
  47. general_user_corpus: general_user_cfd.txt
  48. n_repeat_unclassified: 1
  49. word_prediction: false
  50. init_string: ''
  51. selected_confirmation_method: 1
  52. confirmation_methods: [single, double_yes, best_of_three]
  53. speller_user_corpus: speller_user.txt
  54. selected_mode: 1
  55. states:
  56. - - gelb
  57. - [E, A, D, C, B, F, ^]
  58. - - gruen
  59. - [N, S, R, O, M, P, Q, ^]
  60. - - rot
  61. - [I, H, L, G, K, J, ^]
  62. - - blau
  63. - [T, U, W, Z, V, Y, X, ^]
  64. - - weiss
  65. - [<, ' ', end, ^]
  66. general_corpus: cfd_tiger.p
  67. mode: [Validation, Free]
  68. corpora_path: /kiap/data/speller/Corpora
  69. exploration: !munch.Munch
  70. mode: [Screening]
  71. selected_mode: 0
  72. states: [SchliesseHand, BeugeRechtenMittelfinger, BeugeRechtenZeigefinger, BeugeRechtenDaumen,
  73. OeffneHand, StreckeRechtenMittelfinger, StreckeRechtenZeigefinger, StreckeRechtenDaumen]
  74. selected_states: [0, 1, 2, 3, 4, 5, 6, 7]
  75. audio_path: /kiap/data/speller/Audio/exploration
  76. number_of_stim: 5
  77. training_color: !munch.Munch
  78. mode: [Training]
  79. selected_mode: 0
  80. states:
  81. - - gelb
  82. - [E, A, D, C, B, F, ^]
  83. - - gruen
  84. - [N, S, R, O, M, P, Q, ^]
  85. - - rot
  86. - [I, H, L, G, K, J, ^]
  87. - - blau
  88. - [T, U, W, Z, V, Y, X, ^]
  89. - - weiss
  90. - [<, ' ', '?', word, end, ^]
  91. training_string: Gustav
  92. confirmation_yes: 1
  93. confirmation_no: 1
  94. feedback: !munch.Munch
  95. sounds: !munch.Munch {success: /kiap/data/speller/feedback/kerching.wav, fail: /kiap/data/speller/feedback/blarg.wav}
  96. play_end_feedback: !munch.Munch {success: true, fail: true}
  97. audio_path: /kiap/data/speller/feedback/
  98. number_of_stim: 10
  99. symmetrical: true
  100. selected_mode: 0
  101. states: !munch.Munch
  102. down: [0.0, 0.0, 0.3]
  103. up: [1.0, 0.7, 1.0]
  104. mode: [Training, Validation]
  105. variablesToShowInGUI: !munch.Munch
  106. variableGroups: [timing, color]
  107. variableNames: [t_baseline, t_response, bci_loop_interval, selected_mode, max_length_vocabulary]
  108. t: 1
  109. question: !munch.Munch
  110. mode: [Training, Validation, Free]
  111. selected_mode: 2
  112. audio_path: /kiap/data/speller/Audio/question
  113. number_of_stim: 10
  114. symmetrical: true
  115. feedback: !munch.Munch {alpha: 360, beta: 120, feedback_tone: true, target_n_tones: 5,
  116. target_tone_length: 1.0, hold_iterations: 2, tone_length: 0.25}
  117. sim_data: !munch.Munch {rate_bl: 10}
  118. file_handling: !munch.Munch {data_path: /data/clinical/neural/fr/, results: /data/clinical/nf/results/,
  119. paradigm_config_file: paradigm.yaml, save_data: true, mode: ab, datafile_path: /data/clinical/neural/fr/2019-12-26,
  120. filename_data: /data/clinical/neural/fr/2019-12-26/data_16_43_16.bin, filename_baseline: /data/clinical/neural/fr/2019-12-26/bl_16_43_16.npy,
  121. filename_log_info: /data/clinical/neural/fr/2019-12-26/info_16_43_16.log, filename_log_debug: /data/clinical/neural/fr/2019-12-26/debug_16_43_16.log,
  122. filename_events: /data/clinical/neural/fr/2019-12-26/events_16_43_16.txt, filename_config: /data/clinical/neural/fr/2019-12-26/config_16_43_16.yaml,
  123. filename_paradigm: /data/clinical/neural/fr/2019-12-26/paradigm_16_43_16.yaml, filename_config_dump: /data/clinical/neural/fr/2019-12-26/config_dump_16_43_16.yaml,
  124. filename_git_patch: /data/clinical/neural/fr/2019-12-26/git_changes_16_43_16.patch,
  125. filename_history: /data/clinical/neural/fr/2019-12-26/history.bin, git_hash: 52c204f}
  126. classifier: !munch.Munch
  127. include_channels: [20]
  128. thr_window: 40
  129. break_loop: true
  130. n_neg_train: 100000
  131. n_triggers: 2
  132. peaks: !munch.Munch {distance: 40, sig: pred, prefilter: false}
  133. n_classes: 2
  134. template: !!python/object/apply:numpy.core.multiarray._reconstruct
  135. args:
  136. - !!python/name:numpy.ndarray ''
  137. - !!python/tuple [0]
  138. - !!binary |
  139. Yg==
  140. state: !!python/tuple
  141. - 1
  142. - !!python/tuple [8]
  143. - !!python/object/apply:numpy.dtype
  144. args: [i8, 0, 1]
  145. state: !!python/tuple [3, <, null, null, null, -1, -1, 0]
  146. - false
  147. - !!binary |
  148. CgAAAAAAAAAOAAAAAAAAABIAAAAAAAAAFgAAAAAAAAAaAAAAAAAAAB4AAAAAAAAAIgAAAAAAAAAm
  149. AAAAAAAAAA==
  150. exclude_channels: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17,
  151. 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38,
  152. 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58,
  153. 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78,
  154. 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98,
  155. 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114,
  156. 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127]
  157. exclude_data_channels: []
  158. path_model1: /data/clinical/neural/fr/2019-06-26/model1_104948.pkl
  159. deadtime: 40
  160. max_active_ch_nr: []
  161. trigger_pos: start
  162. model_training: !munch.Munch {save_model: false, model: scikit, solver: lsqr, cross_validation: true,
  163. n_splits: 5, test_size: 0.2, reg_fact: 0.3, fsel: false, triggers_plot: 3}
  164. saved_model_conf_name: config/model_conf.yaml
  165. thr_prob: 0.8
  166. online: false
  167. path_model2: /data/clinical/neural/fr/2019-06-26/model2_104948.pkl
  168. psth: !munch.Munch
  169. cut: [-40, 100]
  170. n_features: 1024
  171. recording: !munch.Munch
  172. timing: !munch.Munch {t_response: 5.0, t_baseline_rand: 1.0, recording_loop_interval_data: 0.02,
  173. bci_loop_interval: 0.05, t_after_stimulus: 0.2, recording_loop_interval: 0.05,
  174. decoder_refresh_interval: 0.01, t_baseline_1: 5.0, t_baseline_all: 1.0}
  175. plot: !munch.Munch
  176. channels: [96, 98]
  177. pca: false
  178. filter_min_rate: 2
  179. fps: 10.0
  180. daq: !munch.Munch
  181. spike_rates: !munch.Munch {n_units: 1, bin_width: 0.05, loop_interval: 50, method: boxcar,
  182. decay_factor: 0.9, max_bins: 20, bl_offset: 30.0, correct_bl: false, correct_bl_model: false}
  183. normalization: !munch.Munch
  184. all_channels: !munch.Munch {bottom: 1.15625, top: 1.59375, invert: false}
  185. len: 600.0
  186. do_update: false
  187. clamp_firing_rates: true
  188. range: [10, 90]
  189. channels:
  190. - !munch.Munch {id: 20, bottom: 1.0, top: 5.0, invert: true}
  191. use_all_channels: false
  192. update_interval: 10.0
  193. n_channels_max: 128
  194. car_channels: []
  195. data_source: spike_rates
  196. trigger_len: 50
  197. exclude_channels: []
  198. daq_sleep: 0.1
  199. fs: 30000.0
  200. spike_band_power: !munch.Munch
  201. integrated_samples: 1500
  202. loop_interval: 50
  203. sample_group: 6
  204. average_n_bins: 10
  205. filter: !munch.Munch
  206. b: [0.956543225556877, -1.91308645111375, 0.956543225556877]
  207. a: [1, -1.91119706742607, 0.914975834801434]
  208. smpl_fct: 30
  209. n_channels: 128
  210. session: !munch.Munch
  211. flags: !munch.Munch {bl: true, bl_rand: true, decode: false, stimulus: true}