config_dump_13_44_52.yaml 7.8 KB

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  1. !munch.Munch
  2. plot: !munch.Munch
  3. channels: [20, 24, 96]
  4. filter_min_rate: 2
  5. fps: 10.0
  6. pca: false
  7. system: !munch.Munch {plot: 0}
  8. supplemental_config: [config/model_conf.yaml, config/channels.yaml, config/feedback.yaml]
  9. paradigms: !munch.Munch
  10. variablesToShowInGUI: !munch.Munch
  11. variableGroups: [timing, color]
  12. variableNames: [t_baseline, t_response, bci_loop_interval, selected_mode, max_length_vocabulary]
  13. t: 1
  14. color: !munch.Munch
  15. mode: [Validation, Free]
  16. selected_mode: 1
  17. states:
  18. - - gelb
  19. - [E, A, D, C, B, F, ^]
  20. - - gruen
  21. - [N, S, R, O, M, P, Q, ^]
  22. - - rot
  23. - [I, H, L, G, K, J, ^]
  24. - - blau
  25. - [T, U, W, Z, V, Y, X, ^]
  26. - - weiss
  27. - [<, ' ', end, ^]
  28. max_length_vocabulary: 5
  29. confirmation_methods: [single, double_yes, best_of_three]
  30. selected_confirmation_method: 1
  31. corpora_path: /kiap/data/speller/Corpora
  32. audio_path: /kiap/data/speller/Audio
  33. general_corpus: cfd_tiger.p
  34. general_user_corpus: general_user_cfd.txt
  35. speller_user_corpus: speller_user.txt
  36. word_prediction: false
  37. validation_string: ''
  38. init_string: ''
  39. n_repeat_unclassified: 1
  40. exploration: !munch.Munch
  41. mode: [Screening]
  42. selected_mode: 0
  43. states: [SchliesseHand, BeugeRechtenMittelfinger, BeugeRechtenZeigefinger, BeugeRechtenDaumen,
  44. OeffneHand, StreckeRechtenMittelfinger, StreckeRechtenZeigefinger, StreckeRechtenDaumen]
  45. selected_states: [0, 1, 2, 3, 4, 5, 6, 7]
  46. audio_path: /kiap/data/speller/Audio/exploration
  47. number_of_stim: 5
  48. question: !munch.Munch
  49. mode: [Training, Validation, Free]
  50. selected_mode: 2
  51. audio_path: /kiap/data/speller/Audio/question
  52. number_of_stim: 10
  53. symmetrical: true
  54. training_color: !munch.Munch
  55. mode: [Training]
  56. selected_mode: 0
  57. states:
  58. - - gelb
  59. - [E, A, D, C, B, F, ^]
  60. - - gruen
  61. - [N, S, R, O, M, P, Q, ^]
  62. - - rot
  63. - [I, H, L, G, K, J, ^]
  64. - - blau
  65. - [T, U, W, Z, V, Y, X, ^]
  66. - - weiss
  67. - [<, ' ', '?', word, end, ^]
  68. training_string: Gustav
  69. confirmation_yes: 1
  70. confirmation_no: 1
  71. feedback: !munch.Munch
  72. mode: [Training, Validation]
  73. symmetrical: true
  74. states: !munch.Munch
  75. up: [1.0, 0.7, 1.0]
  76. down: [0.0, 0.0, 0.3]
  77. number_of_stim: 10
  78. audio_path: /kiap/data/speller/feedback/
  79. selected_mode: 0
  80. sounds: !munch.Munch {success: /kiap/data/speller/feedback/kerching.wav, fail: /kiap/data/speller/feedback/blarg.wav}
  81. play_end_feedback: !munch.Munch {success: true, fail: true}
  82. recording: !munch.Munch
  83. timing: !munch.Munch {decoder_refresh_interval: 0.01, recording_loop_interval_data: 0.02,
  84. t_baseline_all: 1.0, t_after_stimulus: 0.5, recording_loop_interval: 0.05, t_baseline_1: 5.0,
  85. t_baseline_rand: 1.0, bci_loop_interval: 0.05, t_response: 5.0}
  86. session: !munch.Munch
  87. flags: !munch.Munch {bl_rand: true, stimulus: true, decode: false, bl: true}
  88. file_handling: !munch.Munch {data_path: /data/clinical/neural/fr/, results: /data/clinical/nf/results/,
  89. paradigm_config_file: paradigm.yaml, save_data: true, mode: ab, datafile_path: /data/clinical/neural/fr/2019-09-19,
  90. filename_data: /data/clinical/neural/fr/2019-09-19/data_13_44_52.bin, filename_baseline: /data/clinical/neural/fr/2019-09-19/bl_13_44_52.npy,
  91. filename_log_info: /data/clinical/neural/fr/2019-09-19/info_13_44_52.log, filename_log_debug: /data/clinical/neural/fr/2019-09-19/debug_13_44_52.log,
  92. filename_events: /data/clinical/neural/fr/2019-09-19/events_13_44_52.txt, filename_config: /data/clinical/neural/fr/2019-09-19/config_13_44_52.yaml,
  93. filename_paradigm: /data/clinical/neural/fr/2019-09-19/paradigm_13_44_52.yaml, filename_config_dump: /data/clinical/neural/fr/2019-09-19/config_dump_13_44_52.yaml,
  94. filename_git_patch: /data/clinical/neural/fr/2019-09-19/git_changes_13_44_52.patch,
  95. filename_history: /data/clinical/neural/fr/2019-09-19/history.bin, git_hash: 52c204f}
  96. lfp: !munch.Munch
  97. fs: 1000
  98. sampling_ratio: 30
  99. filter_fc_lb: [10, 0]
  100. filter_fc_mb: [12, 40]
  101. filter_fc_hb: [60, 250]
  102. filter_order_lb: 2
  103. filter_order_mb: 6
  104. filter_order_hb: 10
  105. artifact_thr: 400
  106. array1: [32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49,
  107. 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63]
  108. array21: [0, 1]
  109. array22: []
  110. array1_exclude: []
  111. array2_exclude: []
  112. i_start: 0
  113. i_stop: -1
  114. psth_win: [-1000, 5000]
  115. exclude: false
  116. normalize: false
  117. zscore: false
  118. car: true
  119. sub_band: 1
  120. motor_mapping: [Zunge, Schliesse_Hand, Oeffne_Hand, Bewege_Augen, Bewege_Kopf]
  121. spectra: !munch.Munch {spgr_len: 500}
  122. plot: !munch.Munch
  123. ch_ids: [0]
  124. general: true
  125. filters: false
  126. array2: [0, 1]
  127. speller: !munch.Munch {audio: true, pyttsx_rate: 100, audio_result_fb: true, type: feedback,
  128. speller_matrix: true}
  129. feedback: !munch.Munch {tone_length: 0.25, feedback_tone: true, hold_iterations: 2,
  130. beta: 120, target_tone_length: 1.0, alpha: 360, target_n_tones: 5}
  131. buffer: !munch.Munch
  132. length: 600
  133. shape: [600, 128]
  134. cerebus: !munch.Munch {instance: 0, buffer_reset: true, buffer_size_cont: 30001, buffer_size_comments: 500}
  135. general: !munch.Munch {debug: 1, clear_trial_history: false}
  136. daq: !munch.Munch
  137. data_source: spike_rates
  138. normalization: !munch.Munch
  139. use_all_channels: false
  140. clamp_firing_rates: true
  141. all_channels: !munch.Munch {bottom: 1.15625, top: 1.59375, invert: false}
  142. do_update: false
  143. channels:
  144. - !munch.Munch {id: 20, bottom: 5.0, top: 10.0, invert: true}
  145. len: 600.0
  146. range: [10, 90]
  147. update_interval: 10.0
  148. trigger_len: 50
  149. spike_band_power: !munch.Munch
  150. average_n_bins: 10
  151. loop_interval: 50
  152. filter: !munch.Munch
  153. b: [0.956543225556877, -1.91308645111375, 0.956543225556877]
  154. a: [1, -1.91119706742607, 0.914975834801434]
  155. sample_group: 6
  156. integrated_samples: 1500
  157. n_channels_max: 128
  158. daq_sleep: 0.1
  159. spike_rates: !munch.Munch {n_units: 1, bin_width: 0.05, loop_interval: 50, method: boxcar,
  160. decay_factor: 0.9, max_bins: 20, bl_offset: 30.0, correct_bl: false, correct_bl_model: false}
  161. smpl_fct: 30
  162. exclude_channels: []
  163. car_channels: []
  164. fs: 30000.0
  165. n_channels: 128
  166. sim_data: !munch.Munch {rate_bl: 10}
  167. classifier: !munch.Munch
  168. n_classes: 2
  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. path_model1: /data/clinical/neural/fr/2019-06-26/model1_104948.pkl
  186. n_triggers: 2
  187. max_active_ch_nr: []
  188. thr_prob: 0.8
  189. break_loop: true
  190. n_neg_train: 100000
  191. online: false
  192. trigger_pos: start
  193. include_channels: [20]
  194. saved_model_conf_name: config/model_conf.yaml
  195. exclude_data_channels: []
  196. path_model2: /data/clinical/neural/fr/2019-06-26/model2_104948.pkl
  197. peaks: !munch.Munch {distance: 40, sig: pred, prefilter: false}
  198. exclude_channels: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17,
  199. 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38,
  200. 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58,
  201. 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78,
  202. 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98,
  203. 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114,
  204. 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127]
  205. deadtime: 40
  206. model_training: !munch.Munch {save_model: false, model: scikit, solver: lsqr, cross_validation: true,
  207. n_splits: 5, test_size: 0.2, reg_fact: 0.3, fsel: false, triggers_plot: 3}
  208. thr_window: 40
  209. psth: !munch.Munch
  210. cut: [-40, 100]
  211. n_features: 1024