config_dump_15_11_35.yaml 7.8 KB

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  1. !munch.Munch
  2. recording: !munch.Munch
  3. timing: !munch.Munch {decoder_refresh_interval: 0.01, t_response: 5.0, t_baseline_rand: 1.0,
  4. t_after_stimulus: 0.2, recording_loop_interval_data: 0.02, recording_loop_interval: 0.05,
  5. t_baseline_1: 5.0, t_baseline_all: 1.0, bci_loop_interval: 0.05}
  6. cerebus: !munch.Munch {instance: 0, buffer_reset: true, buffer_size_cont: 30001, buffer_size_comments: 500}
  7. paradigms: !munch.Munch
  8. question: !munch.Munch
  9. mode: [Training, Validation, Free]
  10. selected_mode: 2
  11. audio_path: /kiap/data/speller/Audio/question
  12. number_of_stim: 10
  13. symmetrical: true
  14. training_color: !munch.Munch
  15. mode: [Training]
  16. selected_mode: 0
  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. - [<, ' ', '?', word, end, ^]
  28. training_string: Gustav
  29. confirmation_yes: 1
  30. confirmation_no: 1
  31. exploration: !munch.Munch
  32. mode: [Screening]
  33. selected_mode: 0
  34. states: [SchliesseHand, BeugeRechtenMittelfinger, BeugeRechtenZeigefinger, BeugeRechtenDaumen,
  35. OeffneHand, StreckeRechtenMittelfinger, StreckeRechtenZeigefinger, StreckeRechtenDaumen]
  36. selected_states: [0, 1, 2, 3, 4, 5, 6, 7]
  37. audio_path: /kiap/data/speller/Audio/exploration
  38. number_of_stim: 5
  39. variablesToShowInGUI: !munch.Munch
  40. variableGroups: [timing, color]
  41. variableNames: [t_baseline, t_response, bci_loop_interval, selected_mode, max_length_vocabulary]
  42. t: 1
  43. feedback: !munch.Munch
  44. number_of_stim: 10
  45. audio_path: /kiap/data/speller/feedback/
  46. sounds: !munch.Munch {success: /kiap/data/speller/feedback/kerching.wav, fail: /kiap/data/speller/feedback/blarg.wav}
  47. selected_mode: 0
  48. play_end_feedback: !munch.Munch {success: true, fail: true}
  49. mode: [Training, Validation]
  50. states: !munch.Munch
  51. down: [0.0, 0.0, 0.3]
  52. up: [1.0, 0.7, 1.0]
  53. symmetrical: true
  54. color: !munch.Munch
  55. init_string: ''
  56. validation_string: ''
  57. general_user_corpus: general_user_cfd.txt
  58. selected_confirmation_method: 0
  59. max_length_vocabulary: 5
  60. corpora_path: /kiap/data/speller/Corpora
  61. audio_path: /kiap/data/speller/Audio
  62. general_corpus: cfd_tiger.p
  63. selected_mode: 1
  64. confirmation_methods: [single, double_yes, best_of_three]
  65. word_prediction: false
  66. mode: [Validation, Free]
  67. states:
  68. - - gelb
  69. - [E, A, D, C, B, F, ^]
  70. - - gruen
  71. - [N, S, R, O, M, P, Q, ^]
  72. - - rot
  73. - [I, H, L, G, K, J, ^]
  74. - - blau
  75. - [T, U, W, Z, V, Y, X, ^]
  76. - - weiss
  77. - [<, ' ', end, ^]
  78. n_repeat_unclassified: 1
  79. speller_user_corpus: speller_user.txt
  80. speller: !munch.Munch {speller_matrix: true, audio: true, pyttsx_rate: 100, type: color,
  81. audio_result_fb: true}
  82. classifier: !munch.Munch
  83. trigger_pos: start
  84. peaks: !munch.Munch {distance: 40, sig: pred, prefilter: false}
  85. exclude_channels: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17,
  86. 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38,
  87. 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58,
  88. 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78,
  89. 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98,
  90. 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114,
  91. 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127]
  92. thr_window: 40
  93. psth: !munch.Munch
  94. cut: [-40, 100]
  95. deadtime: 40
  96. saved_model_conf_name: config/model_conf.yaml
  97. template: !!python/object/apply:numpy.core.multiarray._reconstruct
  98. args:
  99. - !!python/name:numpy.ndarray ''
  100. - !!python/tuple [0]
  101. - !!binary |
  102. Yg==
  103. state: !!python/tuple
  104. - 1
  105. - !!python/tuple [8]
  106. - !!python/object/apply:numpy.dtype
  107. args: [i8, 0, 1]
  108. state: !!python/tuple [3, <, null, null, null, -1, -1, 0]
  109. - false
  110. - !!binary |
  111. CgAAAAAAAAAOAAAAAAAAABIAAAAAAAAAFgAAAAAAAAAaAAAAAAAAAB4AAAAAAAAAIgAAAAAAAAAm
  112. AAAAAAAAAA==
  113. model_training: !munch.Munch {save_model: false, model: scikit, solver: lsqr, cross_validation: true,
  114. n_splits: 5, test_size: 0.2, reg_fact: 0.3, fsel: false, triggers_plot: 3}
  115. online: false
  116. path_model1: /data/clinical/neural/fr/2019-06-26/model1_104948.pkl
  117. n_neg_train: 100000
  118. thr_prob: 0.8
  119. n_triggers: 2
  120. n_classes: 2
  121. break_loop: true
  122. exclude_data_channels: []
  123. path_model2: /data/clinical/neural/fr/2019-06-26/model2_104948.pkl
  124. include_channels: [20]
  125. max_active_ch_nr: []
  126. n_features: 1024
  127. buffer: !munch.Munch
  128. length: 600
  129. shape: [600, 128]
  130. lfp: !munch.Munch
  131. fs: 1000
  132. sampling_ratio: 30
  133. filter_fc_lb: [10, 0]
  134. filter_fc_mb: [12, 40]
  135. filter_fc_hb: [60, 250]
  136. filter_order_lb: 2
  137. filter_order_mb: 6
  138. filter_order_hb: 10
  139. artifact_thr: 400
  140. array1: [32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49,
  141. 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63]
  142. array21: [0, 1]
  143. array22: []
  144. array1_exclude: []
  145. array2_exclude: []
  146. i_start: 0
  147. i_stop: -1
  148. psth_win: [-1000, 5000]
  149. exclude: false
  150. normalize: false
  151. zscore: false
  152. car: true
  153. sub_band: 1
  154. motor_mapping: [Zunge, Schliesse_Hand, Oeffne_Hand, Bewege_Augen, Bewege_Kopf]
  155. spectra: !munch.Munch {spgr_len: 500}
  156. plot: !munch.Munch
  157. ch_ids: [0]
  158. general: true
  159. filters: false
  160. array2: [0, 1]
  161. file_handling: !munch.Munch {data_path: /data/clinical/neural/fr/, results: /data/clinical/nf/results/,
  162. paradigm_config_file: paradigm.yaml, save_data: true, mode: ab, datafile_path: /data/clinical/neural/fr/2020-01-23,
  163. filename_data: /data/clinical/neural/fr/2020-01-23/data_15_11_35.bin, filename_baseline: /data/clinical/neural/fr/2020-01-23/bl_15_11_35.npy,
  164. filename_log_info: /data/clinical/neural/fr/2020-01-23/info_15_11_35.log, filename_log_debug: /data/clinical/neural/fr/2020-01-23/debug_15_11_35.log,
  165. filename_events: /data/clinical/neural/fr/2020-01-23/events_15_11_35.txt, filename_config: /data/clinical/neural/fr/2020-01-23/config_15_11_35.yaml,
  166. filename_paradigm: /data/clinical/neural/fr/2020-01-23/paradigm_15_11_35.yaml, filename_config_dump: /data/clinical/neural/fr/2020-01-23/config_dump_15_11_35.yaml,
  167. filename_git_patch: /data/clinical/neural/fr/2020-01-23/git_changes_15_11_35.patch,
  168. filename_history: /data/clinical/neural/fr/2020-01-23/history.bin, git_hash: 52c204f}
  169. sim_data: !munch.Munch {rate_bl: 10}
  170. session: !munch.Munch
  171. flags: !munch.Munch {decode: false, bl: true, bl_rand: true, stimulus: true}
  172. daq: !munch.Munch
  173. spike_band_power: !munch.Munch
  174. filter: !munch.Munch
  175. b: [0.956543225556877, -1.91308645111375, 0.956543225556877]
  176. a: [1, -1.91119706742607, 0.914975834801434]
  177. average_n_bins: 10
  178. integrated_samples: 1500
  179. sample_group: 6
  180. loop_interval: 50
  181. exclude_channels: []
  182. smpl_fct: 30
  183. car_channels: []
  184. normalization: !munch.Munch
  185. channels:
  186. - !munch.Munch {id: 17, bottom: 4.5, top: 9.5, invert: false}
  187. clamp_firing_rates: true
  188. all_channels: !munch.Munch {bottom: 1.15625, top: 1.59375, invert: false}
  189. len: 600.0
  190. do_update: false
  191. use_all_channels: false
  192. update_interval: 10.0
  193. range: [10, 90]
  194. spike_rates: !munch.Munch {n_units: 1, bin_width: 0.05, loop_interval: 50, method: boxcar,
  195. decay_factor: 0.9, max_bins: 20, bl_offset: 30.0, correct_bl: false, correct_bl_model: false}
  196. daq_sleep: 0.1
  197. trigger_len: 50
  198. fs: 30000.0
  199. n_channels_max: 128
  200. data_source: spike_rates
  201. n_channels: 128
  202. supplemental_config: [config/model_conf.yaml, config/channels.yaml, config/colorspeller.yaml]
  203. feedback: !munch.Munch {target_tone_length: 1.0, target_n_tones: 5, alpha: 360, tone_length: 0.25,
  204. beta: 120, feedback_tone: true, hold_iterations: 2}
  205. general: !munch.Munch {debug: 1, clear_trial_history: false}
  206. plot: !munch.Munch
  207. fps: 10.0
  208. channels: [96, 98]
  209. filter_min_rate: 2
  210. pca: false
  211. system: !munch.Munch {plot: 0}