config_dump_16_40_13.yaml 8.0 KB

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  1. !munch.Munch
  2. session: !munch.Munch
  3. flags: !munch.Munch {decode: false, bl: true, stimulus: true, bl_rand: false}
  4. supplemental_config: [config/model_conf.yaml, config/channels.yaml, config/feedback_wo_reward.yaml]
  5. recording: !munch.Munch
  6. timing: !munch.Munch {recording_loop_interval: 0.05, t_after_stimulus: 0.0, t_response: 5.0,
  7. recording_loop_interval_data: 0.02, bci_loop_interval: 0.05, t_baseline_1: 5.0,
  8. t_baseline_rand: 1.0, decoder_refresh_interval: 0.01, t_baseline_all: 1.0}
  9. paradigms: !munch.Munch
  10. question: !munch.Munch
  11. mode: [Training, Validation, Free]
  12. selected_mode: 1
  13. audio_path: /kiap/data/speller/Audio/question
  14. number_of_stim: 10
  15. symmetrical: true
  16. feedback: !munch.Munch
  17. states: !munch.Munch
  18. up: [1.0, 0.7, 1.0]
  19. down: [0.0, 0.0, 0.3]
  20. play_end_feedback: !munch.Munch {fail: false, success: false}
  21. audio_path: /kiap/data/speller/feedback/
  22. symmetrical: true
  23. mode: [Training, Validation]
  24. sounds: !munch.Munch {success: /kiap/data/speller/feedback/kerching.wav, fail: /kiap/data/speller/feedback/blarg.wav}
  25. selected_mode: 0
  26. number_of_stim: 10
  27. variablesToShowInGUI: !munch.Munch
  28. variableGroups: [timing, color]
  29. variableNames: [t_baseline, t_response, bci_loop_interval, selected_mode, max_length_vocabulary]
  30. t: 1
  31. color: !munch.Munch
  32. mode: [Validation, Free]
  33. selected_mode: 1
  34. states:
  35. - - gelb
  36. - [E, A, D, C, B, F, ^]
  37. - - gruen
  38. - [N, S, R, O, M, P, Q, ^]
  39. - - rot
  40. - [I, H, L, G, K, J, ^]
  41. - - blau
  42. - [T, U, W, Z, V, Y, X, ^]
  43. - - weiss
  44. - [<, ' ', <<<, ., end, ^]
  45. max_length_vocabulary: 5
  46. confirmation_num_yes: 2
  47. confirmation_num_no: 1
  48. opposite_answers_methods: [last, majority]
  49. selected_opposite_answers_method: 0
  50. corpora_path: /kiap/data/speller/Corpora
  51. audio_path: /kiap/data/speller/Audio
  52. general_corpus: cfd_leipzig.p
  53. general_user_corpus: general_user_cfd.txt
  54. speller_user_corpus: speller_user.txt
  55. word_prediction: true
  56. validation_string: ''
  57. init_string: ''
  58. n_repeat_unclassified: 1
  59. training_color: !munch.Munch
  60. mode: [Training]
  61. selected_mode: 0
  62. states:
  63. - - gelb
  64. - [E, A, D, C, B, F, ^]
  65. - - gruen
  66. - [N, S, R, O, M, P, Q, ^]
  67. - - rot
  68. - [I, H, L, G, K, J, ^]
  69. - - blau
  70. - [T, U, W, Z, V, Y, X, ^]
  71. - - weiss
  72. - [<, <<<, ., '?', word, end, ^]
  73. training_string: Gustav
  74. confirmation_yes: 1
  75. confirmation_no: 1
  76. exploration: !munch.Munch
  77. mode: [Screening]
  78. selected_mode: 0
  79. states: [SchliesseHand, BeugeRechtenMittelfinger, BeugeRechtenZeigefinger, BeugeRechtenDaumen,
  80. OeffneHand, StreckeRechtenMittelfinger, StreckeRechtenZeigefinger, StreckeRechtenDaumen]
  81. selected_states: [0, 1, 2, 3, 4, 5, 6, 7]
  82. audio_path: /kiap/data/speller/Audio/exploration
  83. number_of_stim: 5
  84. sim_data: !munch.Munch {rate_bl: 10}
  85. general: !munch.Munch {debug: 1, clear_trial_history: false}
  86. system: !munch.Munch {plot: 0}
  87. daq: !munch.Munch
  88. exclude_channels: []
  89. fs: 30000.0
  90. daq_sleep: 0.1
  91. normalization: !munch.Munch
  92. use_all_channels: false
  93. range: [10, 90]
  94. update_interval: 10.0
  95. clamp_firing_rates: true
  96. all_channels: !munch.Munch {bottom: 1.15625, top: 1.59375, invert: false}
  97. len: 600.0
  98. channels:
  99. - !munch.Munch {id: 20, bottom: 2, top: 4, invert: true}
  100. do_update: false
  101. trigger_len: 50
  102. n_channels_max: 128
  103. smpl_fct: 30
  104. data_source: spike_rates
  105. spike_rates: !munch.Munch {n_units: 1, bin_width: 0.05, loop_interval: 50, method: boxcar,
  106. decay_factor: 0.9, max_bins: 20, bl_offset: 30.0, correct_bl: false, correct_bl_model: false}
  107. spike_band_power: !munch.Munch
  108. loop_interval: 50
  109. average_n_bins: 10
  110. integrated_samples: 1500
  111. filter: !munch.Munch
  112. b: [0.956543225556877, -1.91308645111375, 0.956543225556877]
  113. a: [1, -1.91119706742607, 0.914975834801434]
  114. sample_group: 6
  115. car_channels: []
  116. n_channels: 128
  117. classifier: !munch.Munch
  118. exclude_channels: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17,
  119. 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38,
  120. 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58,
  121. 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78,
  122. 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98,
  123. 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114,
  124. 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127]
  125. deadtime: 40
  126. max_active_ch_nr: []
  127. thr_prob: 0.8
  128. break_loop: true
  129. path_model2: /data/clinical/neural/fr/2019-06-26/model2_104948.pkl
  130. model_training: !munch.Munch {save_model: false, model: scikit, solver: lsqr, cross_validation: true,
  131. n_splits: 5, test_size: 0.2, reg_fact: 0.3, fsel: false, triggers_plot: 3}
  132. n_classes: 2
  133. template: !!python/object/apply:numpy.core.multiarray._reconstruct
  134. args:
  135. - !!python/name:numpy.ndarray ''
  136. - !!python/tuple [0]
  137. - !!binary |
  138. Yg==
  139. state: !!python/tuple
  140. - 1
  141. - !!python/tuple [8]
  142. - !!python/object/apply:numpy.dtype
  143. args: [i8, 0, 1]
  144. state: !!python/tuple [3, <, null, null, null, -1, -1, 0]
  145. - false
  146. - !!binary |
  147. CgAAAAAAAAAOAAAAAAAAABIAAAAAAAAAFgAAAAAAAAAaAAAAAAAAAB4AAAAAAAAAIgAAAAAAAAAm
  148. AAAAAAAAAA==
  149. n_triggers: 2
  150. exclude_data_channels: []
  151. peaks: !munch.Munch {distance: 40, sig: pred, prefilter: false}
  152. include_channels: [20]
  153. path_model1: /data/clinical/neural/fr/2019-06-26/model1_104948.pkl
  154. saved_model_conf_name: config/model_conf.yaml
  155. n_neg_train: 100000
  156. trigger_pos: start
  157. psth: !munch.Munch
  158. cut: [-40, 100]
  159. thr_window: 40
  160. online: false
  161. n_features: 1024
  162. speller: !munch.Munch {pyttsx_rate: 100, speller_matrix: true, audio: true, type: feedback,
  163. audio_result_fb: false}
  164. feedback: !munch.Munch {alpha: 360, beta: 120, hold_iterations: 2, feedback_tone: true,
  165. target_tone_length: 1.0, tone_length: 0.25, target_n_tones: 5}
  166. cerebus: !munch.Munch {instance: 0, buffer_reset: true, buffer_size_cont: 30001, buffer_size_comments: 500}
  167. file_handling: !munch.Munch {data_path: /data/clinical/neural/fr/, results: /data/clinical/nf/results/,
  168. paradigm_config_file: paradigm.yaml, save_data: true, mode: ab, datafile_path: /data/clinical/neural/fr/2020-05-15,
  169. filename_data: /data/clinical/neural/fr/2020-05-15/data_16_40_13.bin, filename_baseline: /data/clinical/neural/fr/2020-05-15/bl_16_40_13.npy,
  170. filename_log_info: /data/clinical/neural/fr/2020-05-15/info_16_40_13.log, filename_log_debug: /data/clinical/neural/fr/2020-05-15/debug_16_40_13.log,
  171. filename_events: /data/clinical/neural/fr/2020-05-15/events_16_40_13.txt, filename_config: /data/clinical/neural/fr/2020-05-15/config_16_40_13.yaml,
  172. filename_paradigm: /data/clinical/neural/fr/2020-05-15/paradigm_16_40_13.yaml, filename_config_dump: /data/clinical/neural/fr/2020-05-15/config_dump_16_40_13.yaml,
  173. filename_git_patch: /data/clinical/neural/fr/2020-05-15/git_changes_16_40_13.patch,
  174. filename_history: /data/clinical/neural/fr/2020-05-15/history.bin, filename_corpus: /data/clinical/neural/fr/2020-05-15/user_corpus_16_40_13.txt,
  175. git_hash: 7433eaa}
  176. buffer: !munch.Munch
  177. length: 600
  178. shape: [600, 128]
  179. plot: !munch.Munch
  180. pca: false
  181. filter_min_rate: 2
  182. channels: [20, 96, 109]
  183. fps: 10.0
  184. lfp: !munch.Munch
  185. fs: 1000
  186. sampling_ratio: 30
  187. filter_fc_lb: [10, 0]
  188. filter_fc_mb: [12, 40]
  189. filter_fc_hb: [60, 250]
  190. filter_order_lb: 2
  191. filter_order_mb: 6
  192. filter_order_hb: 10
  193. artifact_thr: 400
  194. array1: [32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49,
  195. 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63]
  196. array21: [0, 1]
  197. array22: []
  198. array1_exclude: []
  199. array2_exclude: []
  200. i_start: 0
  201. i_stop: -1
  202. psth_win: [-1000, 5000]
  203. exclude: false
  204. normalize: false
  205. zscore: false
  206. car: true
  207. sub_band: 1
  208. motor_mapping: [Zunge, Schliesse_Hand, Oeffne_Hand, Bewege_Augen, Bewege_Kopf]
  209. spectra: !munch.Munch {spgr_len: 500}
  210. plot: !munch.Munch
  211. ch_ids: [0]
  212. general: true
  213. filters: false
  214. array2: [0, 1]