config_dump_13_35_50.yaml 7.9 KB

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  1. !munch.Munch
  2. system: !munch.Munch {plot: 0}
  3. plot: !munch.Munch
  4. pca: false
  5. fps: 10.0
  6. channels: [96, 98]
  7. filter_min_rate: 2
  8. daq: !munch.Munch
  9. spike_rates: !munch.Munch {n_units: 1, bin_width: 0.05, loop_interval: 50, method: boxcar,
  10. decay_factor: 0.9, max_bins: 20, bl_offset: 30.0, correct_bl: false, correct_bl_model: false}
  11. spike_band_power: !munch.Munch
  12. sample_group: 6
  13. average_n_bins: 10
  14. integrated_samples: 1500
  15. loop_interval: 50
  16. filter: !munch.Munch
  17. b: [0.956543225556877, -1.91308645111375, 0.956543225556877]
  18. a: [1, -1.91119706742607, 0.914975834801434]
  19. daq_sleep: 0.1
  20. trigger_len: 50
  21. normalization: !munch.Munch
  22. use_all_channels: false
  23. clamp_firing_rates: true
  24. channels:
  25. - !munch.Munch {id: 17, bottom: 5.0, top: 14.0, invert: false}
  26. all_channels: !munch.Munch {bottom: 1.15625, top: 1.59375, invert: false}
  27. range: [10, 90]
  28. len: 600.0
  29. update_interval: 10.0
  30. do_update: false
  31. exclude_channels: []
  32. car_channels: []
  33. smpl_fct: 30
  34. n_channels_max: 128
  35. fs: 30000.0
  36. data_source: spike_rates
  37. n_channels: 128
  38. recording: !munch.Munch
  39. timing: !munch.Munch {t_after_stimulus: 0.0, bci_loop_interval: 0.05, t_baseline_rand: 1.0,
  40. recording_loop_interval: 0.05, t_baseline_all: 1.0, t_response: 5.0, recording_loop_interval_data: 0.02,
  41. decoder_refresh_interval: 0.01, t_baseline_1: 5.0}
  42. lfp: !munch.Munch
  43. fs: 1000
  44. sampling_ratio: 30
  45. filter_fc_lb: [10, 0]
  46. filter_fc_mb: [12, 40]
  47. filter_fc_hb: [60, 250]
  48. filter_order_lb: 2
  49. filter_order_mb: 6
  50. filter_order_hb: 10
  51. artifact_thr: 400
  52. array1: [32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49,
  53. 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63]
  54. array21: [0, 1]
  55. array22: []
  56. array1_exclude: []
  57. array2_exclude: []
  58. i_start: 0
  59. i_stop: -1
  60. psth_win: [-1000, 5000]
  61. exclude: false
  62. normalize: false
  63. zscore: false
  64. car: true
  65. sub_band: 1
  66. motor_mapping: [Zunge, Schliesse_Hand, Oeffne_Hand, Bewege_Augen, Bewege_Kopf]
  67. spectra: !munch.Munch {spgr_len: 500}
  68. plot: !munch.Munch
  69. ch_ids: [0]
  70. general: true
  71. filters: false
  72. array2: [0, 1]
  73. paradigms: !munch.Munch
  74. feedback: !munch.Munch
  75. mode: [Training, Validation]
  76. audio_path: /kiap/data/speller/feedback/
  77. sounds: !munch.Munch {success: /kiap/data/speller/feedback/kerching.wav, fail: /kiap/data/speller/feedback/blarg.wav}
  78. states: !munch.Munch
  79. up: [1.0, 0.7, 1.0]
  80. down: [0.0, 0.0, 0.3]
  81. symmetrical: true
  82. number_of_stim: 10
  83. selected_mode: 0
  84. play_end_feedback: !munch.Munch {success: false, fail: false}
  85. question: !munch.Munch
  86. mode: [Training, Validation, Free]
  87. selected_mode: 2
  88. audio_path: /kiap/data/speller/Audio/question
  89. number_of_stim: 10
  90. symmetrical: true
  91. variablesToShowInGUI: !munch.Munch
  92. variableGroups: [timing, color]
  93. variableNames: [t_baseline, t_response, bci_loop_interval, selected_mode, max_length_vocabulary]
  94. t: 1
  95. color: !munch.Munch
  96. mode: [Validation, Free]
  97. selected_mode: 1
  98. states:
  99. - - gelb
  100. - [E, A, D, C, B, F, ^]
  101. - - gruen
  102. - [N, S, R, O, M, P, Q, ^]
  103. - - rot
  104. - [I, H, L, G, K, J, ^]
  105. - - blau
  106. - [T, U, W, Z, V, Y, X, ^]
  107. - - weiss
  108. - [<, ' ', end, ^]
  109. max_length_vocabulary: 5
  110. confirmation_methods: [single, double_yes, best_of_three]
  111. selected_confirmation_method: 0
  112. corpora_path: /kiap/data/speller/Corpora
  113. audio_path: /kiap/data/speller/Audio
  114. general_corpus: cfd_tiger.p
  115. general_user_corpus: general_user_cfd.txt
  116. speller_user_corpus: speller_user.txt
  117. word_prediction: false
  118. validation_string: ''
  119. init_string: ''
  120. n_repeat_unclassified: 1
  121. exploration: !munch.Munch
  122. mode: [Screening]
  123. selected_mode: 0
  124. states: [SchliesseHand, BeugeRechtenMittelfinger, BeugeRechtenZeigefinger, BeugeRechtenDaumen,
  125. OeffneHand, StreckeRechtenMittelfinger, StreckeRechtenZeigefinger, StreckeRechtenDaumen]
  126. selected_states: [0, 1, 2, 3, 4, 5, 6, 7]
  127. audio_path: /kiap/data/speller/Audio/exploration
  128. number_of_stim: 5
  129. training_color: !munch.Munch
  130. mode: [Training]
  131. selected_mode: 0
  132. states:
  133. - - gelb
  134. - [E, A, D, C, B, F, ^]
  135. - - gruen
  136. - [N, S, R, O, M, P, Q, ^]
  137. - - rot
  138. - [I, H, L, G, K, J, ^]
  139. - - blau
  140. - [T, U, W, Z, V, Y, X, ^]
  141. - - weiss
  142. - [<, ' ', '?', word, end, ^]
  143. training_string: Gustav
  144. confirmation_yes: 1
  145. confirmation_no: 1
  146. sim_data: !munch.Munch {rate_bl: 10}
  147. session: !munch.Munch
  148. flags: !munch.Munch {stimulus: true, bl: true, bl_rand: false, decode: false}
  149. classifier: !munch.Munch
  150. n_triggers: 2
  151. thr_prob: 0.8
  152. n_classes: 2
  153. trigger_pos: start
  154. online: false
  155. n_neg_train: 100000
  156. template: !!python/object/apply:numpy.core.multiarray._reconstruct
  157. args:
  158. - !!python/name:numpy.ndarray ''
  159. - !!python/tuple [0]
  160. - !!binary |
  161. Yg==
  162. state: !!python/tuple
  163. - 1
  164. - !!python/tuple [8]
  165. - !!python/object/apply:numpy.dtype
  166. args: [i8, 0, 1]
  167. state: !!python/tuple [3, <, null, null, null, -1, -1, 0]
  168. - false
  169. - !!binary |
  170. CgAAAAAAAAAOAAAAAAAAABIAAAAAAAAAFgAAAAAAAAAaAAAAAAAAAB4AAAAAAAAAIgAAAAAAAAAm
  171. AAAAAAAAAA==
  172. exclude_channels: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17,
  173. 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38,
  174. 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58,
  175. 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78,
  176. 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98,
  177. 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114,
  178. 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127]
  179. psth: !munch.Munch
  180. cut: [-40, 100]
  181. peaks: !munch.Munch {distance: 40, sig: pred, prefilter: false}
  182. thr_window: 40
  183. model_training: !munch.Munch {save_model: false, model: scikit, solver: lsqr, cross_validation: true,
  184. n_splits: 5, test_size: 0.2, reg_fact: 0.3, fsel: false, triggers_plot: 3}
  185. max_active_ch_nr: []
  186. break_loop: true
  187. deadtime: 40
  188. exclude_data_channels: []
  189. path_model1: /data/clinical/neural/fr/2019-06-26/model1_104948.pkl
  190. saved_model_conf_name: config/model_conf.yaml
  191. path_model2: /data/clinical/neural/fr/2019-06-26/model2_104948.pkl
  192. include_channels: [20]
  193. n_features: 1024
  194. supplemental_config: [config/model_conf.yaml, config/channels.yaml, config/feedback_wo_reward.yaml]
  195. file_handling: !munch.Munch {data_path: /data/clinical/neural/fr/, results: /data/clinical/nf/results/,
  196. paradigm_config_file: paradigm.yaml, save_data: true, mode: ab, datafile_path: /data/clinical/neural/fr/2020-01-08,
  197. filename_data: /data/clinical/neural/fr/2020-01-08/data_13_35_50.bin, filename_baseline: /data/clinical/neural/fr/2020-01-08/bl_13_35_50.npy,
  198. filename_log_info: /data/clinical/neural/fr/2020-01-08/info_13_35_50.log, filename_log_debug: /data/clinical/neural/fr/2020-01-08/debug_13_35_50.log,
  199. filename_events: /data/clinical/neural/fr/2020-01-08/events_13_35_50.txt, filename_config: /data/clinical/neural/fr/2020-01-08/config_13_35_50.yaml,
  200. filename_paradigm: /data/clinical/neural/fr/2020-01-08/paradigm_13_35_50.yaml, filename_config_dump: /data/clinical/neural/fr/2020-01-08/config_dump_13_35_50.yaml,
  201. filename_git_patch: /data/clinical/neural/fr/2020-01-08/git_changes_13_35_50.patch,
  202. filename_history: /data/clinical/neural/fr/2020-01-08/history.bin, git_hash: 52c204f}
  203. feedback: !munch.Munch {target_tone_length: 1.0, feedback_tone: true, alpha: 360,
  204. beta: 120, tone_length: 0.25, target_n_tones: 5, hold_iterations: 2}
  205. buffer: !munch.Munch
  206. length: 600
  207. shape: [600, 128]
  208. general: !munch.Munch {debug: 1, clear_trial_history: false}
  209. cerebus: !munch.Munch {instance: 0, buffer_reset: true, buffer_size_cont: 30001, buffer_size_comments: 500}
  210. speller: !munch.Munch {type: feedback, speller_matrix: true, audio: true, pyttsx_rate: 100,
  211. audio_result_fb: true}