config_dump_13_51_06.yaml 7.8 KB

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  1. !munch.Munch
  2. feedback: !munch.Munch {target_tone_length: 1.0, alpha: 360, target_n_tones: 5, tone_length: 0.25,
  3. beta: 120, hold_iterations: 2, feedback_tone: true}
  4. file_handling: !munch.Munch {data_path: /data/clinical/neural/fr/, results: /data/clinical/nf/results/,
  5. paradigm_config_file: paradigm.yaml, save_data: true, mode: ab, datafile_path: /data/clinical/neural/fr/2019-09-25,
  6. filename_data: /data/clinical/neural/fr/2019-09-25/data_13_51_06.bin, filename_baseline: /data/clinical/neural/fr/2019-09-25/bl_13_51_06.npy,
  7. filename_log_info: /data/clinical/neural/fr/2019-09-25/info_13_51_06.log, filename_log_debug: /data/clinical/neural/fr/2019-09-25/debug_13_51_06.log,
  8. filename_events: /data/clinical/neural/fr/2019-09-25/events_13_51_06.txt, filename_config: /data/clinical/neural/fr/2019-09-25/config_13_51_06.yaml,
  9. filename_paradigm: /data/clinical/neural/fr/2019-09-25/paradigm_13_51_06.yaml, filename_config_dump: /data/clinical/neural/fr/2019-09-25/config_dump_13_51_06.yaml,
  10. filename_git_patch: /data/clinical/neural/fr/2019-09-25/git_changes_13_51_06.patch,
  11. filename_history: /data/clinical/neural/fr/2019-09-25/history.bin, git_hash: 52c204f}
  12. daq: !munch.Munch
  13. trigger_len: 50
  14. normalization: !munch.Munch
  15. do_update: false
  16. use_all_channels: false
  17. clamp_firing_rates: true
  18. update_interval: 10.0
  19. channels:
  20. - !munch.Munch {id: 20, bottom: 2.0, top: 8.0, invert: true}
  21. len: 600.0
  22. range: [10, 90]
  23. all_channels: !munch.Munch {bottom: 1.15625, top: 1.59375, invert: false}
  24. smpl_fct: 30
  25. n_channels_max: 128
  26. fs: 30000.0
  27. spike_rates: !munch.Munch {n_units: 1, bin_width: 0.05, loop_interval: 50, method: boxcar,
  28. decay_factor: 0.9, max_bins: 20, bl_offset: 30.0, correct_bl: false, correct_bl_model: false}
  29. data_source: spike_rates
  30. spike_band_power: !munch.Munch
  31. filter: !munch.Munch
  32. b: [0.956543225556877, -1.91308645111375, 0.956543225556877]
  33. a: [1, -1.91119706742607, 0.914975834801434]
  34. sample_group: 6
  35. loop_interval: 50
  36. average_n_bins: 10
  37. integrated_samples: 1500
  38. exclude_channels: []
  39. car_channels: []
  40. daq_sleep: 0.1
  41. n_channels: 128
  42. paradigms: !munch.Munch
  43. variablesToShowInGUI: !munch.Munch
  44. variableGroups: [timing, color]
  45. variableNames: [t_baseline, t_response, bci_loop_interval, selected_mode, max_length_vocabulary]
  46. t: 1
  47. color: !munch.Munch
  48. mode: [Validation, Free]
  49. audio_path: /kiap/data/speller/Audio
  50. general_corpus: cfd_tiger.p
  51. validation_string: ''
  52. max_length_vocabulary: 5
  53. states:
  54. - - gelb
  55. - [E, A, D, C, B, F, ^]
  56. - - gruen
  57. - [N, S, R, O, M, P, Q, ^]
  58. - - rot
  59. - [I, H, L, G, K, J, ^]
  60. - - blau
  61. - [T, U, W, Z, V, Y, X, ^]
  62. - - weiss
  63. - [<, ' ', end, ^]
  64. speller_user_corpus: speller_user.txt
  65. corpora_path: /kiap/data/speller/Corpora
  66. general_user_corpus: general_user_cfd.txt
  67. init_string: ''
  68. n_repeat_unclassified: 1
  69. confirmation_methods: [single, double_yes, best_of_three]
  70. word_prediction: false
  71. selected_mode: 1
  72. selected_confirmation_method: 1
  73. feedback: !munch.Munch
  74. mode: [Training, Validation]
  75. audio_path: /kiap/data/speller/feedback/
  76. states: !munch.Munch
  77. up: [1.0, 0.7, 1.0]
  78. down: [0.0, 0.0, 0.3]
  79. number_of_stim: 10
  80. symmetrical: true
  81. sounds: !munch.Munch {success: /kiap/data/speller/feedback/kerching.wav, fail: /kiap/data/speller/feedback/blarg.wav}
  82. play_end_feedback: !munch.Munch {success: true, fail: true}
  83. selected_mode: 0
  84. question: !munch.Munch
  85. mode: [Training, Validation, Free]
  86. selected_mode: 2
  87. audio_path: /kiap/data/speller/Audio/question
  88. number_of_stim: 10
  89. symmetrical: true
  90. training_color: !munch.Munch
  91. mode: [Training]
  92. selected_mode: 0
  93. states:
  94. - - gelb
  95. - [E, A, D, C, B, F, ^]
  96. - - gruen
  97. - [N, S, R, O, M, P, Q, ^]
  98. - - rot
  99. - [I, H, L, G, K, J, ^]
  100. - - blau
  101. - [T, U, W, Z, V, Y, X, ^]
  102. - - weiss
  103. - [<, ' ', '?', word, end, ^]
  104. training_string: Gustav
  105. confirmation_yes: 1
  106. confirmation_no: 1
  107. exploration: !munch.Munch
  108. mode: [Screening]
  109. selected_mode: 0
  110. states: [SchliesseHand, BeugeRechtenMittelfinger, BeugeRechtenZeigefinger, BeugeRechtenDaumen,
  111. OeffneHand, StreckeRechtenMittelfinger, StreckeRechtenZeigefinger, StreckeRechtenDaumen]
  112. selected_states: [0, 1, 2, 3, 4, 5, 6, 7]
  113. audio_path: /kiap/data/speller/Audio/exploration
  114. number_of_stim: 5
  115. system: !munch.Munch {plot: 0}
  116. session: !munch.Munch
  117. flags: !munch.Munch {bl_rand: true, decode: false, bl: true, stimulus: true}
  118. speller: !munch.Munch {speller_matrix: true, audio: true, pyttsx_rate: 100, type: color,
  119. audio_result_fb: true}
  120. buffer: !munch.Munch
  121. length: 600
  122. shape: [600, 128]
  123. sim_data: !munch.Munch {rate_bl: 10}
  124. recording: !munch.Munch
  125. timing: !munch.Munch {recording_loop_interval_data: 0.02, t_response: 5.0, t_baseline_1: 5.0,
  126. t_baseline_all: 1.0, t_baseline_rand: 1.0, recording_loop_interval: 0.05, decoder_refresh_interval: 0.01,
  127. bci_loop_interval: 0.05, t_after_stimulus: 0.2}
  128. lfp: !munch.Munch
  129. fs: 1000
  130. sampling_ratio: 30
  131. filter_fc_lb: [10, 0]
  132. filter_fc_mb: [12, 40]
  133. filter_fc_hb: [60, 250]
  134. filter_order_lb: 2
  135. filter_order_mb: 6
  136. filter_order_hb: 10
  137. artifact_thr: 400
  138. array1: [32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49,
  139. 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63]
  140. array21: [0, 1]
  141. array22: []
  142. array1_exclude: []
  143. array2_exclude: []
  144. i_start: 0
  145. i_stop: -1
  146. psth_win: [-1000, 5000]
  147. exclude: false
  148. normalize: false
  149. zscore: false
  150. car: true
  151. sub_band: 1
  152. motor_mapping: [Zunge, Schliesse_Hand, Oeffne_Hand, Bewege_Augen, Bewege_Kopf]
  153. spectra: !munch.Munch {spgr_len: 500}
  154. plot: !munch.Munch
  155. ch_ids: [0]
  156. general: true
  157. filters: false
  158. array2: [0, 1]
  159. plot: !munch.Munch
  160. filter_min_rate: 2
  161. channels: [20, 24, 96]
  162. pca: false
  163. fps: 10.0
  164. cerebus: !munch.Munch {instance: 0, buffer_reset: true, buffer_size_cont: 30001, buffer_size_comments: 500}
  165. general: !munch.Munch {debug: 1, clear_trial_history: false}
  166. supplemental_config: [config/model_conf.yaml, config/channels.yaml, config/colorspeller.yaml]
  167. classifier: !munch.Munch
  168. deadtime: 40
  169. path_model1: /data/clinical/neural/fr/2019-06-26/model1_104948.pkl
  170. n_neg_train: 100000
  171. psth: !munch.Munch
  172. cut: [-40, 100]
  173. template: !!python/object/apply:numpy.core.multiarray._reconstruct
  174. args:
  175. - !!python/name:numpy.ndarray ''
  176. - !!python/tuple [0]
  177. - !!binary |
  178. Yg==
  179. state: !!python/tuple
  180. - 1
  181. - !!python/tuple [8]
  182. - !!python/object/apply:numpy.dtype
  183. args: [i8, 0, 1]
  184. state: !!python/tuple [3, <, null, null, null, -1, -1, 0]
  185. - false
  186. - !!binary |
  187. CgAAAAAAAAAOAAAAAAAAABIAAAAAAAAAFgAAAAAAAAAaAAAAAAAAAB4AAAAAAAAAIgAAAAAAAAAm
  188. AAAAAAAAAA==
  189. break_loop: true
  190. thr_window: 40
  191. exclude_channels: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17,
  192. 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38,
  193. 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58,
  194. 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78,
  195. 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98,
  196. 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114,
  197. 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127]
  198. online: false
  199. model_training: !munch.Munch {save_model: false, model: scikit, solver: lsqr, cross_validation: true,
  200. n_splits: 5, test_size: 0.2, reg_fact: 0.3, fsel: false, triggers_plot: 3}
  201. peaks: !munch.Munch {distance: 40, sig: pred, prefilter: false}
  202. include_channels: [20]
  203. n_triggers: 2
  204. path_model2: /data/clinical/neural/fr/2019-06-26/model2_104948.pkl
  205. n_classes: 2
  206. trigger_pos: start
  207. thr_prob: 0.8
  208. saved_model_conf_name: config/model_conf.yaml
  209. max_active_ch_nr: []
  210. exclude_data_channels: []
  211. n_features: 1024